Ajax


Ajax Technology in Web


AJAX

Ajax, shorthand for Asynchronous JavaScript
and XML

• Web development technique for creating
interactive web applications

• The intent is to make web pages feel more
responsive by exchanging small amounts of
data with the server behind the scenes, so
that the entire web page does not have to be
reloaded each time the user makes a change

• This is meant to increase the web page's
interactivity, speed, and usability
The first known use of the term in public
was by Jesse James Garrett in his
February 2005 article Ajax: A New
Approach to Web Applications

• At subsequent talks and seminars
Garrett has made the point that Ajax is
not an acronym
Ajax Technology

Ajax Technology

The Ajax technique uses a combination of:

– XHTML (or HTML), CSS, for marking up and styling information.

– The DOM accessed with a client-side scripting language,
especially ECMAScript implementations such as JavaScript
and JScript, to dynamically display and interact with the
information presented.

– The XMLHttpRequest object to exchange data asynchronously
with the web server. In some Ajax frameworks and in certain
situations, an IFrame object is used instead of the
XMLHttpRequest object to exchange data with the web server.

– XML is sometimes used as the format for transferring data
between the server and client, although any format will work,
including preformatted HTML, plain text, JSON and other
formats.

• Like DHTML, LAMP, or SPA, Ajax is not a technology in
itself, but a term that refers to the use of a group of
technologies together.

XMLHttpRequest

• XMLHttpRequest is an API that can be
used by JavaScript, JScript, VBScript
and other web browser scripting
languages to transfer and manipulate
XML data to and from a web server
using HTTP, establishing an
independent connection channel
between a web page's Client-Side and
Server-Side.

• The XMLHttpRequest concept was originally
developed by Microsoft.

• The Microsoft implementation is called
XMLHTTP and, as an ActiveX object, it differs
from the published standard in a few small
ways. It has been available since Internet
Explorer 5.0 and is accessible via JScript,
VBScript and other scripting languages
supported by IE browsers.

• The Mozilla project incorporated the first
compatible native implementation of
XMLHttpRequest in Mozilla 1.0 in 2002.

• This implementation was later followed
by Apple since Safari 1.2, Konqueror,
Opera Software since Opera 8.0 and
iCab since 3.0b352.

• The World Wide Web Consortium published a
Working Draft specification for the
XMLHttpRequest object's API on 5 April
2006.

• While this is still a work in progress, its goal is
"to document a minimum set of interoperable
features based on existing implementations,
allowing Web developers to use these
features without platform-specific code".

• The draft specification is based upon existing
popular implementations, to help improve and
ensure interoperability of code across web
platforms.

• Methods:
– abort()
– getAllResponseHeaders()
– getResponseHeader(header)
– open(method, url, asyncronous, user,
password):
– send(content)
– setRequestHeader(header, value)


• open(method, url, async,
user, password):
– Initializes an XMLHTTP request.
– Specifies the method, URL, and
authentication information for the request.
– After calling this method, you must call
send to send the request and data, if any,
to the server.

• send(content):
– Sends an HTTP request to the server and
receives a response.
– null for no data.

• Properties:
– onreadystatechange
– readyState
– responseText
– responseXML
– status
– statusText

• onreadystatechange:
– Function than handles the different events

• readyState:
– The property is read-only
– It represents the state of the request as an
integer
– The following values are defined:

• readyState:
– 0 (UNINITIALIZED): The object has been created, but not
initialized (the open method has not been called)
– (1) LOADING: The object has been created, but the send method has not been called.
– (2) LOADED: The send method has been called, but the
status and headers are not yet available.
– (3) INTERACTIVE: Some data has been received. Calling
the responseText property at this state to obtain partial
results will return an error, because status and response
headers are not fully available.
– (4) COMPLETED: All the data has been received, and the
complete data is available in the responseText property.

• readyState:
– 0 (UNINITIALIZED): The object has been created, but not
initialized (the open method has not been called)
– (1) LOADING: The object has been created, but the send
method has not been called.
– (2) LOADED: The send method has been called, but the
status and headers are not yet available.
– (3) INTERACTIVE: Some data has been received. Calling
the responseText property at this state to obtain partial
results will return an error, because status and response
headers are not fully available.
– (4) COMPLETED: All the data has been received, and the
complete data is available in the responseText property

• responseText:
– The property is read-only.
– This property represents only one of
several forms in which the HTTP response
can be returned.

• responseXML:
– The property is read-only.
– This property represents the parsed
response entity body.

AJAX step by step

1. Create XMLHttpRequest object
2. Assign a function to the state change event
3. Send a request to the server
4. On a state change, manage the response
5. On a correct response, process the result
and show to the user.

Create XMLHttpRequest object

• Depending on the browser:
– Internet Explorer
request = new ActiveXObject("Microsoft.XMLHTTP");
– Otros navegadores:
request = new XMLHttpRequest();

• Code adapted for different browsers:
if(window.XMLHttpRequest) {
request = new XMLHttpRequest();
}
else if(window.ActiveXObject) {
request = new ActiveXObject("Microsoft.XMLHTTP");

Assign a function to the state change event

• This function will be called
automatically, every time the state of
the XMLHttpRequest object changes:
request.onreadystatechange = nameOfFunction
Important: without “( )”, only the name.

Send a request to the server
• Open the connection, define the method and
the type of connection:
– A synchronous connection (false) blocks the
browser until the response is obtained
– An asynchronous connection (true and default
value) executes on the background
– Important: the URL must belong to the same
domain of the current page
request.open('GET','http://www.ua.es/ajax.jsp',
true);
• Send the additional data:request.send(data or null)

On a state change, manage the response
• The handler is called every time there is a change:
• 0: UNINITIALIZED
• 1: LOADING
• 2: LOADED
• 3: INTERACTIVE
• 4: COMPLETED
• Example of handler:
if (request.readyState == 4) { // Finished
if (request.status==200) { // OK
// Process the result
}
}
else {
// Not finished
}

On a correct response, process the result and
show to the user

• The result can be in different formats:
plain text, HTML, JSON, XML, etc.

• responseText when not structured
result as XML:
alert(request.responseText);

• responseXML when structured result
as XML:
– Returns an XMLDocument object
– Use DOM functions

Example

<script type="text/javascript">
function ajaxFunction() {
var xmlHttp;
if (window.XMLHttpRequest)
xmlHttp = new XMLHttpRequest();
else
xmlHttp = new ActiveXObject("Microsoft.XMLHTTP");
xmlHttp.onreadystatechange=function() {
if(xmlHttp.readyState == 4) {
document.myForm.time.value += xmlHttp.responseText + "\n";
}
}
xmlHttp.open("GET","time.php",true);
xmlHttp.send(null);
}
</script>

Anather one Example

Example
<html>
<head>
<title>Ajax example</title>
<!-- script -->
</head>
<body>
<form name="myForm">
Name: <input type="text"
onkeyup="ajaxFunction();" name="username" />
<br />
Time: <textarea name="time" cols="40"
rows="10"></textarea>
</form>
</body>
</html>

• PHP:
<?php
header("Expires: -1");
$str1 = date('h:i:s A');
sleep(2);
$str2 = date('h:i:s A');
echo "$str1 -- $str2";
?>

Who’s Using Ajax

Google is making a huge investment in developing the Ajax approach. All of the major products Google has introduced over the last
year — Orkut, Gmail, the latest beta version of Google Groups, Google Suggest, and Google Maps — are Ajax applications. (For more
on the technical nuts and bolts of these Ajax implementations, check out these excellent analyses of Gmail, Google Suggest, and
Google Maps.) Others are following suit: many of the features that people love in Flickr depend on Ajax, and Amazon’s A9.com
search engine applies similar techniques.

These projects demonstrate that Ajax is not only technically sound, but also practical for real-world applications. This isn’t another
technology that only works in a laboratory. And Ajax applications can be any size, from the very simple, single-function Google
Suggest to the very complex and sophisticated Google Maps.

At Adaptive Path, we’ve been doing our own work with Ajax over the last several months, and we’re realizing we’ve only scratched the
surface of the rich interaction and responsiveness that Ajax applications can provide. Ajax is an important development for Web
applications, and its importance is only going to grow. And because there are so many developers out there who already know how to use these technologies, we expect to see many more organizations following Google’s lead in reaping the competitive advantage Ajax
provides.

5G Mobile Technology


5G MOBILE TECHNOLOGIES



Introduction


The present cell phones have it all. Today phones have everything ranging from the smallest size, largest phone memory, speed dialing, video player, audio player, and camera and so on. Recently with the development of Pico nets and Blue tooth technology data sharing has become a child's play. Earlier with the infrared feature you can share data within a line of sight that means the two devices has to be aligned properly to transfer data, but in case of blue tooth you can transfer data even when you have the cell phone in your pocket up to a range of 50 meters. The creation and entry of 5G technology into the mobile marketplace will launch a new revolution in the way international cellular plans are offered.

The global mobile phone is upon the cell phone market. Just around the corner, the newest 5G technologies will hit the mobile market with phones used in China being able to access and call locally phones in Germany. Truly innovative technology changing the way mobile phones will be used. With the emergence of cell phones, which are similar to a PDA, you can now have your whole office within the phone. Cell phones will give tough competitions to laptop manufacturers and normal computer designers. Even today there are phones with gigabytes of memory storage and the latest operating systems. Thus one can say that with the current trends, the industry has a real bright future if it can handle the best technologies and can produce affordable handsets for its customers. Thus you will get all your desires unleashed in the near future when these smart phones take over the market. 5G Network's router and switch technology delivers Last Yard Connectivity between the Internet access provider and building occupants. 5G's technology intelligently distributes Internet access to individual nodes within the building.

2G-5G Networks

The first generation of mobile phones was analog systems that emerged in the early 1980s. The second generation of digital mobile phones appeared in 1990s along with the first digital mobile networks. During the second generation, the mobile telecommunications industry experienced exponential growth in terms of both subscribers and value-added services. Second generation networks allow limited data support in the range of 9.6 kbps to 19.2 kbps. Traditional phone networks are used mainly for voice transmission, and are essentially circuit-switched networks.
5G networks, such as General Packet Radio Service (GPRS), are an extension of 2G networks, in that they use circuit switching for voice and packet switching for data transmission resulting in its popularity since packet switching utilizes bandwidth much more efficiently. In this system, each user’s packets compete for available bandwidth, and users are billed only for the amount of data transmitted.
3G networks were proposed to eliminate many problems faced by 2G and 2.5G networks, especially the low speeds and incompatible technologies such as Time Division Multiple Access (TDMA) and Code Division Multiple Access (CDMA) in different countries. Expectations for 3G included increased bandwidth; 128 Kbps for mobile stations, and 2 Mbps for fixed applications. In theory, 3G should work over North American as well as European and Asian wireless air interfaces. In reality, the outlook for 3G is not very certain. Part of the problem is that network providers in Europe and North America currently maintain separate standards’ bodies (3GPP for Europe and Asia; 3GPP2 for North America). The standards’ bodies have not resolved the differences in air interface technologies.
There is also a concern that in many countries 3G will never be deployed due to its cost and poor performance. Although it is possible that some of the weaknesses at physical layer will still exist in 4G systems, an integration of services at the upper layer is expected. The evolution of mobile networks is strongly influenced by business challenges and the direction mobile system industry takes. It also relates to the radio access spectrum and the control restrictions over it that varies from country to country. However, as major technical advances are being standardized it becomes more complex for industry alone to choose a suitable evolutionary path. Many mobile system standards for Wide Area Networks (WANs) already exists including the popular ones such as Universal Mobile Telecommunications Systems (UMTS), CDMA, and CDMA-2000 (1X/3X). In addition there are evolving standards for Personal Area Networks (PANs), such as Bluetooth wireless, and for WLANs, such as IEEE 802.11.
The current trend in mobile systems is to support the high bit rate data services at the downlink via High Speed Downlink Packet Access (HSDPA). It provides a smooth evolutionary path for UMTS networks to higher data rates in the same way as Enhanced Data rates for Global Evolution (EDGE) do in Global Systems for Mobile communication (GSM). HSPDA uses shared channels that allow different users to access the channel resources in packet domain. It provides an efficient means to share spectrum that provides support for high data rate packet transport on the downlink, which is well adapted to urban environment and indoor applications. 9. Initially, the peak data rates of 10 Mbps may be achieved using HSPDA. The next target is to reach 30 Mbps with the help of antenna array processing technologies followed by the enhancements in air interface design to allow even higher data rates. Another recent development is a new framework for mobile networks that is expected to provide multimedia support for IP telecommunication services, called as IP Multimedia Subsystems (IMS). Real-time rich multimedia communication mixing telecommunication and data services could happen due to IMS in wireline broadband networks. However, mobile carriers cannot offer their customers the freedom to mix multimedia
components (text, pictures, audio, voice, video) within one call. Today a two party voice call cannot be extended to a multi-party audio and video conference. IMS overcomes such limitations and makes these scenarios possible.

Network Architecture

The basic architecture of wireless mobile system consists of a mobile phone connected to the wired world via a single hop wireless connection to a Base Station (BS), which is responsible for carrying the calls within its region called cell (Figure 1). Due to limited coverage provided by a BS, the mobile hosts change their connecting base stations as they move from one cell to another.

{{Wireless Mobile System Network Architecture}}

A hand-off (later referred to as “horizontal handoff” in this article) occurs when a mobile system changes its BS. The mobile station communicates via the BS using one of the wireless frequency sharing technologies such as FDMA, TDMA, CDMA etc. Each BS is connected to a Mobile Switching Center (MSC) through fixed links, and each MSC is connected to others via Public Switched Telephone Network (PSTN). The MSC is a local switching exchange that handles switching of mobile user from one BS to another. It also locates the current cell location of a mobile user via a Home Location Register (HLR) that stores current location of each mobile that belongs to the MSC. In addition, the MSC contains a Visitor Locations Register (VLR) with information of visiting mobiles from other cells. The MSC is responsible for determining the current location of a target mobile using HLR, VLR and by communicating with other MSCs. The source MSC initiates a call setup message to MSC covering target area for this purpose.

The first generation cellular implementation consisted of analog systems in 450-900 MHz frequency range using frequency shift keying for signaling and Frequency Division Multiple Access (FDMA) for spectrum sharing. The second generation implementations consist of TDMA/CDMA implementations with 900, 1800 MHz frequencies. These systems are called GSM for Europe and IS-136 for US. The respective 2.5G implementations are called GPRS and CDPD followed by 3G implementations. Third generation mobile systems are intended to provide a global mobility with wide range of services including voice calls, paging, messaging, Internet and broadband data. IMT-2000 defines the standard applicable for North America. In Europe, the equivalent UMTS standardization is in progress. In 1998, a Third Generation Partnership Project (3GPP) was formed to unify and continue the technical specification work. Later, the Third Generation Partnership Project 2 (3GPP2) was formed for technical development of CDMA-2000 technology.
 3G mobile offers access to broadband multimedia services, which is expected to become all IP based in future 4G systems. However, current 3G networks are not based on IP; rather they are an evolution from existing 2G networks. Work is going on to provide 3G support and Quality of Service (QoS) in IP and mobility protocols. The situation gets more complex when we consider the WLAN research and when we expect it to become mobile. It is expected that WLANs will be installed in trains, trucks, and buildings. In addition, it may just be formed on an ad-hoc basis (like ad-hoc networks) between random collections of devices that happen to come within radio range of one another (Figure 2). In general, 4G architecture includes three basic areas of connectivity; PANs (such as Bluetooth), WANs (such as IEEE 802.11), and cellular connectivity. Under this umbrella, 4G will provide a wide range of mobile devices that support global roaming.
Each device will be able to interact with Internet-based information that will be modified on the fly for the network being used by the device at that moment (Figure 3). In 5G mobile IP, each cell phone is expected to have a permanent "home" IP address, along with a "care-of" address that represents its actual location. When a computer somewhere on the Internet needs to communicate with the cell phone, it first sends a packet to the phone's home address.

A directory server on the home network forwards this to the care-of address via a tunnel, as in regular mobile IP. However, the directory server also sends a message to the computer informing it of the correct care-of address, so future packets can be sent directly. This should enable TCP sessions and HTTP downloads to be maintained as users move between different types of networks. Because of the many addresses and the multiple layers of sub netting, IPv6 is needed for this type of mobility. For instance, 128 bits (4 times more than current 32 bit IPv4 address) may be divided into four parts (I thru IV) for supporting different functions. The first 32-bit part (I) may be defined as the home address of a device while the second part (II) may be declared as the care-of address allowing communication between cell phones and personal computers. So once the communication path between cell and PC is established, care-of address will be used instead of home address thus using the second part of IPv6 address.

The third part (III) of IPv6 address may be used for tunneling to establish a connection between wire line and wireless network. In this case an agent (a directory server) will use the mobile IP address to establish a channel to cell phones. The fourth and last part (IV) of IPv6 address may be used for local address for VPN sharing. Figure 4 illustrates the concept. The goal of 4G and 5G is to replace the current proliferation of core mobile networks with a single worldwide core network standard, based on IPv6 for control, video, packet data, and voice. This will provide uniform video, voice, and data services to the mobile host, based entirely on IPv6.  The objective is to offer seamless multimedia services to users accessing an all IP-based infrastructure through heterogeneous access technologies. IPv6 is assumed to act as an adhesive for providing global connectivity and mobility among networks.  Most of the wireless companies are looking forward to IPv6, because they will be able to introduce new services. The Japanese government is requiring all of Japan's ISPs to support IPv6 with its first 4G launch. Although the US upgrade to IPv6 is less advanced, WLAN’s advancement may provide a  shortcut to 4G.

Mix-Bandwidth Data Path Design

CDMA development group (CDG) has issued convergence architecture for 4G, which combined pico cell, micro cell, macro cell and global area shown in Figure5. This architecture clearly shows that in pico-cell area, there are four wireless network covered, in micro cell area, there are three wireless network covered, in macro cell area, there are two wireless network covered at least. The problem is for any users at a certain place and time, it is one network supply wireless services for them, the others keep wireless network resources waste. 5G is real wireless world, it is completed wireless communication. We design mix-bandwidth data path for 5G so that all wireless network resource can be used efficiently.

Mix-Bandwidth Data Path Model Design

In order to design mix-bandwidth data path, we propose a new data model as shown in Figure6. This model based on any two networks overlay area. When a mobile node comes into the overlay area, both of the two networks can supply services for the mobile node simultaneously. Data request can be sent from any one network, and reply can be from any other network.

{{Fig: Mix-bandwidth Data Path Model}}
In this model, the MN request can go through the first connection (MN → BS → PDSN → CN) and the resulting reply can come from the second connection (CN → PDSN → AP → MN). Thus, two networks supply services for the mobile node simultaneously. Following this model, we propose mix-bandwidth data path shown in Figure, which contains four components. They are bandwidth management, bandwidth selection, packet receiver and bandwidth monitor.

Mobile - Wireless Grids
Mobile computing is an aspect that plays seminal role in the implementation of 4G Mobile Communication Systems since it primarily centers upon the requirement of providing access to various communications and services everywhere, any time and by any available means. Presently, the technical solutions for achieving mobile computing are hard to implement since they require the creation of communication infrastructures and the modification of operating systems, application programs and computer networks on account of limitations on the capability of a moving resource in contrast to a fixed one.
 In the purview of Grid and Mobile Computing, Mobile Grid is a heir of Grid, that addresses mobility issues, with the added elements of supporting mobile users and resources in a seamless, transparent, secure and efficient way. It has the facility to organize underlying ad-hoc networks and offer a self-configuring Grid system of mobile resources (hosts and users) connected by wireless links and forming random and changeable topologies. The mobile Grid needs to be upgraded from general Grid concept to make full use of all the capabilities that will be available; these functionalities will involve end-to-end solutions with emphasis on Quality of Service (QoS) and security, as well as interoperability issues between the diverse technologies involved. Further, enhanced security policies and approaches to address large scale and heterogeneous environments will be needed. Additionally, the volatile, mobile and poor networked environments have to be addressed with adaptable QoS aspects which have to be contextualized with respect to users and their profiles.

 Wireless Grids

Grid computing lets devices connected to the Internet, overlay peer-to-peer networks, and the nascent wired computational grid dynamically share network connected resources in 4G kind of scenario. The wireless grid extends this sharing potential to mobile, nomadic, or fixed-location devices temporarily connected via ad hoc wireless networks. Following Metcalfe’s law, grid-based resources become more valuable as the number of devices and users increases. The wireless grid makes it easier to extend grid computing to large numbers of devices that would otherwise be unable to participate and share resources. While grid computing attracts much research, resource sharing across small, ad hoc, mobile, and nomadic grids draws much less. Wireless grids, a new type of resource-sharing network, connect sensors, mobile phones, and other edge devices with each other and with wired grids. Ad hoc distributed resource sharing allows these devices to offer new resources and locations of use for grid computing. In some ways, wireless grids resemble networks already found in connection with agricultural, military, transportation, air-quality, environmental, health, emergency, and security systems.

{{Dynamic and fixed wireless grids}}

A range of institutions, from the largest governments to very small enterprises, will own and at least partially control wireless grids. To make things still more complex for researchers and business strategists, users and producers could sometimes be one and the same. Devices on the wireless grid will be not only mobile but nomadic shifting across institutional boundaries. Just as real-world nomads cross institutional boundaries and frequently move from one location to another, so do wireless devices. The following classification offers one way to classify wireless grid applications.

a)
Class 1: Applications aggregating information from the range of input/output interfaces found in nomadic devices.

(b) Class 2: Applications leveraging the locations and contexts in which the devices exist.

(c) Class 3: Applications leveraging the mesh network capabilities of groups of nomadic devices.

The three classes of wireless grid applications conceptualized here are not mutually exclusive. Understanding more about the shareable resources, the places of use, and ownership and control patterns within which wireless grids will operate might assist us in visualizing these future patterns of wireless grid use. The Grid, is a promising emerging technology that enables the simple “connect and share” approach analogously to the internet search engines that apply the “connect and acquire information” concept. Thus, mobile/wireless grids is an ideal solution for large scale applications which are the pith of 4G mobile communication systems, besides, this grid-based-approach will potentially increase the performance of the involved applications and utilization rate of resources by employing efficient mechanisms for resource management in the majority of its resources, that is, by allowing the seamless integration of resources, data, services and technologies. Figure 2 places wireless grids in context, illustrating how they span the technical approaches and issues of Web services, grid computing, P2P systems, mobile commerce, ad hoc networking, and spectrum management. How sensor and mesh networks will ultimately interact with software radio and other technologies to solve wireless grid problems requires a great deal of further research, but Figure 4 at least captures many of the main facets of a wireless grid.

Key Concepts of 5G

Suggested in research papers discussing 5G and beyond 4G wireless communications are:
(a) Real wireless world with no more limitation with access and zone issues.
(b) Wearable devices with AI capabilities.
(c) Internet protocol version 6 (IPv6), where a visiting care-of mobile IP address is assigned according to location and connected network.
(d) One unified global standard.
(e) Pervasive networks providing ubiquitous computing: The user can simultaneously be connected to several wireless access technologies and seamlessly move between them (See Media independent handover or vertical handover, IEEE 802.21, also expected to be provided by future 4G releases). These access technologies can be a 2.5G, 3G, 4G or 5G mobile networks, Wi-Fi, WPAN or any other future access technology. In 5G, the concept may be further developed into multiple concurrent data transfer paths.
(f) Cognitive radio technology, also known as smart-radio: allowing different radio technologies to share the same spectrum efficiently by adaptively finding
unused spectrum and adapting the transmission scheme to the requirements of the technologies currently sharing the spectrum. This dynamic radio resource management is achieved in a distributed fashion, and relies on software defined radio.
(g) High altitude stratospheric platform station (HAPS) systems.

The radio interface of 5G communication systems is suggested in a Korean research and development program to be based on beam division multiple access (BDMA) and group cooperative relay techniques.

Features of 5G Networks Technology

Main features of 5G Network technology are as follows :
(a) 5G technology offer high resolution for crazy cell phone user and bi-directional large bandwidth shaping.
(b) The advanced billing interfaces of 5G technology makes it more attractive and effective.
(c) 5G technology also providing subscriber supervision tools for fast action.
(d) The high quality services of 5G technology based on Policy to avoid error.
(e) 5G technology is providing large broadcasting of data in Gigabit which supporting almost 65,000 connections.
(f) 5G technology offer transporter class gateway with unparalleled consistency.
(g) The traffic statistics by 5G technology makes it more accurate.
(h) Through remote management offered by 5G technology a user can get better and fast solution.
(i) The remote diagnostics also a great feature of 5G technology.
(j) The 5G technology is providing up to 25 Mbps connectivity speed.
(k) The 5G technology also support virtual private network.
(l) The new 5G technology will take all delivery service out of business prospect.
(m) The uploading and downloading speed of 5G technology touching the peak.
(n) The 5G technology network offering enhanced and available connectivity just about the world.

A new revolution of 5G technology is about to begin because 5G technology going to give tough completion to normal computer and laptops whose marketplace value will be effected. There are lots of improvements from 1G, 2G, 3G, and 4G to 5G in the world of telecommunications. The new coming 5G technology is available in the market in affordable rates, high peak future and much reliability than its preceding technologies. Features that are getting embedded in such a small piece of electronics are huge. Today you will hardly witness a cell phone without an mp3 player with huge storage memory and a camera. We can use the cell phone as a Walkman.

Even every latest set being launched by the cell phone companies have a mega pixel camera in it, which produces extraordinary digital image just like a specialized camera for photography. Here are some an examples about mobile technology in our future, A man’s phone detects that it hasn’t moved for more than 2 hours during the man’s regular waking hours. It issues an audible alarm, but no response! So it emits a signal that triggers a RFID chip implanted inside his body. The RFID chip responds by verifying the identity of the man and also a brief burst of telemetry that indicates that he is experiencing heart beat irregularities and his blood pressure is dangerously low. The phone quickly sends an automated text message to a medical alarm system, including not only the identity and the health data of the owner but also the fact that the man is not in his own apartment but in a reading room of a library.

Conclusion


 There are some other projects, which are undertaken ay 5G technologies. Here we want to mention that 3G mobiles are working these days, and 4G technologies are coming, but in future we are ready to face 5G technologies and some of its features we have presented in this paper.

Web Mining

Web Mining Introduction

 What is Web Mining?   
 


          Web mining is the use of data mining techniques to automatically discover and extract information from Web documents/services.Web mining deals with three main areas: web content mining, web usage mining and web structure mining. In web usage mining it is desirable to find the habits and relations between what the website’s users are looking for. To find the actual users some filtering has to be done to remove bots that indexes structures of a website. 
         Robots view all pages and links on a website to find relevant content. This creates many calls to the website server and thereby creates a false image of the actual web usage. The paper we have chosen to start with [Tang et al. 2002] does not in depth discuss web content and web structure mining, but instead look closer upon web usage mining. This field is supposed to describe relations between web pages based on the interests of users, i.e. finding links often clicked in a specific order which are of greater relevance to the user. The patterns revealed will then be used to create a more visitor customized website by highlighting or otherwise expose web pages to increase commerce.                This is often demonstrated as a price cut in one product which will increase sales in another. On the other hand it is also important to not to misclassify actual users that make thorough searches of websites and label them as robots. 

 1. Motivation / Opportunity The WWW is huge, widely distributed, global information service centre and, therefore, constitutes a rich source for data mining.

 01 Personalization, Recommendation Engines.
 02 Web-commerce applications. 
 03 Building the Semantic Web. 
 04 Intelligent Web Search.
 05 Hypertext classification and Categorization. 
 06 Information / trend monitoring. 
 07 Analysis of online communities. 

 2. The Web 
 01. Over 1 billion HTML pages, 15 terabytes
 02. Wealth of information a. Bookstores, restaraunts, travel, malls, dictionaries, news, stock quotes,yellow & white pages, maps, markets, ......... 
 b. Diverse media types: text, images, audio, video c. Heterogeneous formats: HTML, XML, postscript, pdf, JPEG, MPEG, MP3 
03. Highly Dynamic a. 1 million new pages each day b. Average page changes in a few weeks 
04. Graph structure with links between pages a. Average page has 7-10 links b. in-links and out-links follow power-law distribution 
05. Hundreds of millions of queries per day 

 3. Abundance and authority crisis. 
 01. Liberal and informal culture of content generation and dissemination 
 02. Redundancy and non-standard form and content 
 03. Millions of qualifying pages for most broad queries Example: java or kayaking 
 04. No authoritative information about the reliability of a site 
 05. Little support for adapting to the background of specific users 

 4. One Interesting Approach 
 01. The number of web servers was estimated by sampling and testing random IP address numbers and determining the fraction of such tests that successfully located a web server 
 02. The estimate of the average number of pages per server was obtained by crawling a sample of the servers identified in the first experiment 
 03. Lawrence, S. and Giles, C. L. (1999). Accessibility of information on the web. Nature, 400(6740): 107–109. 

 4. Applications of web mining a.
 a. E-commerce (Infrastructure) 
 b. Generate user profiles -> improving customization and provide users with pages, advertisements of interest 
 c. Targeted advertising -> Ads are a major source of revenue for Web portals (e.g., Yahoo, Lycos) and E-commerce sites. 
Internet advertising is probably the “hottest” web mining application today 
 d. Fraud -> Maintain a signature for each user based on buying patterns on the Web (e.g., amount spent, categories of items bought). If buying pattern changes significantly, then signal fraud  
 e. Network Management 
 f. Performance management -> Annual bandwidth demand is increasing ten-fold on average, annual bandwidth supply is rising only by a factor of three. Result is frequent congestion. During a major event (World cup), an overwhelming number of user requests can result in millions of redundant copies of data flowing back and forth across the world 
 g. Fault management -> analyze alarm and traffic data to carry out root cause analysis of faults 
 h. Information retrieval (Search) on the Web 
i. Automated generation of topic hierarchies 
j. Web knowledge bases 

 5. Why is Web Information Retrieval Important? 
 a. According to most predictions, the majority of human information will be available on the Web in ten years
 b. Effective information retrieval can aid in 
 c. Research: Find all papers about web mining 
 d. Health/Medicene: What could be reason for symptoms of “yellow eyes”. 
 e.high fever and frequent vomitting 
 f. Travel: Find information on the tropical island of St. Lucia
 g. Business: Find companies that manufacture digital signal processors
 h. Entertainment: Find all movies starring Marilyn Monroe during the years 1960 and 1970
 i. Arts: Find all short stories written by Jhumpa Lahiri 

 6. Why is Web Information Retrieval Difficult? 
 a. The Abundance Problem (99% of information of no interest to 99% of people)
 b. Hundreds of irrelevant documents returned in response to a search query
 c. Limited Coverage of the Web (Internet sources hidden behind search interfaces)
 d. Largest crawlers cover less than 18% of Web pages
 e. The Web is extremely dynamic 
f. Lots of pages added, removed and changed every day 
g. Very high dimensionality (thousands of dimensions) 
h. Limited query interface based on keyword-oriented search 
i. Limited customization to individual users 

 6. Web Mining Taxonomy 
 01. Web content mining: focuses on techniques for assisting a user in finding documents that meet a certain criterion (text mining) 
 02. Web structure mining: aims at developing techniques to take advantage of the collective judgement of web page quality which is available in the form of hyperlinks 
 03. Web usage mining: focuses on techniques to study the user behaviour when navigating the web (also known as Web log mining and clickstream analysis) 

 7. Web Content Mining 

 01. Can be thought of as extending the work performed by basic search engines 
 02. Search engines have crawlers to search the web and gather information, indexing techniques to store the information, and query processing support to provide information to the users 
 03. Web Content Mining is: the process of extracting knowledge from web contents 

 8. Structuring Textual Information
 01. Many methods designed to analyze structured data
 02. If we can represent documents by a set of attributes we will be able to use existing data mining methods
 03. How to represent a document?
 04. Vector based representation (referred to as “bag of words” as it is invariant to permutations)
 05. Use statistics to add a numerical dimension to unstructured text. 

 9. Text Mining 
 01. Document classification
 02. Document clustering
 03. Key-word based association rules

 10. Web Search 
1.Domain-specific search engines 
a. www.buildingonline.com 
b. www.lawcrawler.com
c. www.drkoop.com (medical) 
d. Meta-searching 
e. Connects to multiple search engines and combine the search results f. www.metacrawler.com g. www.dogpile.com
 h. www.37.com 

 2. Post-retrieval analysis and visualization
 a. www.vivisimo.com 
b. www.tumba.pt 
c. www.kartoo.com 
d. Natural language processing 
e. www.askjeeves.com 
f. Search Agents 
g. Instead of storing a search index, search agents can perform realtime searches on the Web.
h. Fresher data, slower response time and lower coverage. 

11. Web Structure Mining First generation of search engines
 01. Early days: keyword based searches
      a. Keywords: “web mining”
      b. Retrieves documents with “web” and mining”
02. Later on: cope with
a. synonymy problem
b. polysemy problem
c. stop words
03. Common characteristic: Only information on the pages is used.

12. Modern search engines

 01. Link structure is very important a. Adding a link: deliberate act b. Harder to fool systems using in-links c. Link is a “quality mark”
 02. Modern search engines use link structure as important source of information.
 1. The Web Structure
      a. If the web is treated as an undirected graph 90% of the pages form a single connected component    
      b. If the web is treated as a directed graph four distinct components are identified, the four with similar size.

 13. Some statistics
 01. Only between 25% of the pages there is a connecting path BUT
 02. If there is a path:
        a. Directed: average length <17 -="" 03.="" a="" average="" b.="" it="" length="" s="" small="" undirected:="" world=""> between two people only chain of length 6! 
a. High number of relatively small cliques >
b. Small diameter 

04. Internet (SCC) is a small world graph.
14. Applications Web mining is an important tool to gather knowledge of the behaviour of Websites’ visitors and thereby to allow for appropriate adjustments and decisions with respect to Websites’ actual users and traffic patterns. Along with a description of the processes involved in Web mining [Srivastava, 1999] states that Website Modification, System Improvement, Web Personalization and Business Intelligence are four majomajor application areas for Web mining. These are briefly described in the following sections.

15. Website Modification The content and structure of the Website is important to the user experience/impression of the site and the site’s usability. The problem is that different types of users have different preferences, background, knowledge etc. making it difficult (if not impossible) to find a design that is optimal for all users. Web usage mining can then be used to detect which types of users are accessing the website, and their behaviour, knowledge which can then be used to manually design/re-design the website, or to automatically change the structure and content based on the profile of the user visiting it. Adaptive Websites are described in more detail in [Perkowitz & Etzioni. 1998].

16. System Improvement The performance and service of Websites can be improved using knowledge of the Web traffic in order to predict the navigation path of the current user. This may be used e.g. for cashing, load balancing or data distribution to improve the performance. The path prediction can also be used to detect fraud, break-ins, intrusion etc. [Srivastava, 1999].

17. Web Personalization Web Personalization is an attractive application area for Web based companies, allowing for recommendations, marketing campaigns etc. to be specifically customized for different categories of users, and more importantly to do this in real-time, automatically, as the user accesses the Website. For example, [Mobasher et. al. 1999] and [Yan et al. 1996] uses association rules and clustering for grouping users and discover the type of user currently accessing the Website (based of the user’s path through the Website), in real-time, to dynamically adapt hyperlinks and content of the Website.

18. Business Intelligence For Web based companies Web mining is a powerful tool to collect business intelligence to get competitive advantages. Patterns of the customers’ activities on the Website can be used as important knowledge in the decision-making process, e.g. predicting customers’ future behaviour, recruiting new customers and developing new products are beneficial choices. There are many companies providing (among other things) services in the field of Web Mining and Web traffic analysis for extracting business intelligence, e.g.[BizInetl, 2011] and [WebTrends, 2011].

 19. Summary

01. Web is huge and dynamic
02. Web mining makes use of data mining techniques to automatically discover and extract information from Web documents/services 
03. Web content mining
04. Web structure mining
05. Web usage mining
06. Semantic web: "The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation." -- Tim Berners-Lee, James Hendler, Ora Lassila.

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