Abstract- In present available Mobile phone platforms is
Android, Motion research, Apple iPhone OS and Symbian.
Android mobile phones are the second huge OS threw 2015.
Linux s/w used in android which work on admittance the
essential regulations requested by the user. The key defy is
connection between the desktop computers and hand
holding devices: said by Andy Rubin. In present time user
can access all data by mobile whatever they access from
their browser.
These are some scenario by which I have done my work in
mobile phone crawler server with live image sender.
a. Not any type of piece of equipment developed that finish
the splinter between the word wide desktop computers and
hand holding mobile phone devices.
b. No such device which acts as a server and crawl all data of
mobile phone in the browse.
c. The enhancement in technology and miniaturization of
World Wide Web (Web) minimized the comfort’s level for
user.
d. Cost of devices is increased by efficiency, which has no
limit.
In database for access the files that mobile phone crawler
makes tuples for searching the data. Firstly, before page
indexes that mobile phone crawler. Using mobile crawler
algorithms that crawler crawl the data and give accurate
result within second.Network bandwidth goes slow
relatively and indexing done by indexer is the big problem
which connected with indexing process in the web search.
Key Words: search engine. crawling policy, Web directory
Stream, Mobile a server. Network bandwidth.
Scaling. Web data recovered by 55Mbit per second
whenever estimation for downloading was 580 GB of pages
per day. Using this technology it was maintain the indexes.
Using that estimates for growth of Web indices provided in
1998, a web search give focus on limitations of technology
which have storage space and networks which communicate,
phone crawler server can maintain the indices very
effectively.
Quality of Index. For the query processor part of result of
web searches are necessary and required. Quality of search
results are not increases automatically because of increasing
the size of web indexes. In present available search engines
are maintain 110 million pages Error! Reference source
not found. and find approx thousands matches related to
search result [2].
In view of the fact that in the web search, that cannot limit
the pages. Accommodation of growing web, it is necessary
for finding a way which improves the searching result. For
search the data very easily and early necessary to develop
the Mobile phone crawler in the near future. Using
assortment of original knowledge today’s phone search
provide better search result which challenge devoted search
engines by using data mining, graph theory areas. In
addition, for improving the competence of data gathering, it
necessary that a new mobile phone search engine is needed
when user done searching in grouping search engine [3].
Two main issues are associated with crawling system.
Crawling policy is the main first issues associated with
Mobile phone crawling system, this policy makes a decision
for downloading the next page. Other second issues that
necessary of a highly optimized organization structural
design which work on download many pages per seconds
healthy touching hurtle. In this search engine search engine
firstly make indices of all documents which available in
mobiles SD cards. That way by mobile phone using indices
provide controlling search facilities. By using mobile phone
crawler approach it pass through a filter of unchanged links
from remote server without downloading the links and only
download modified pages. Crawlers used mobile agent for
building web indices that way crawler proposed crawling
approach. This approach called Mobile phone crawler.
Locally all data be located in the indices, by using data
crawler it transported to the site of the source and filter out
unwanted data locally and search the related query given by
user [4].
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In this approach that mobile phone search engine acts as a
server. There we don’t want any type of network connection
only router should be used for such crawling system. That
way this approach done work very fast in locally and also
perform the search very clear in globally. Today’s positive
reception of hardware industry is better compare to other
previous devices. Which has quicker processors, more
rapidly Internet connections, high quality sensors and also
intelligent to host more demanding applications. Mobile
phone device’s applications are developed by using java
platform, android, .NET Compact Framework, Flash Lite and
Java ME which provide highly purposeful mobile multimedia
applications these technologies agree to the use of various
technologies, like Java, Android etc. Regrettably, web
server’s quality is thinkable [5].
2.1 Search Engine Technology
In that searching area there are so many searches has been
done. In 1994 First architecture was World Wide Web
Worm. For the Web it was the first investigate machines [8].
Between 1994 and 1997 first experimental were happened.
These investigate machine pursued by big profitable
machines like WebCrawler, HotBot, Altavista, Infoseek,
Excite and Lycos. For architectural aspects in the market
there are two papers published. These are related to
WebCrawler and Lycos [9]. However, in that time there is not
more information available related to search technologies.
The Google project is done at Stanford University. The
Google project is one of the search engines which recently
transported large scale search engine. Present time Google
has more popularity in the market [10].
2. RELATED WORK
In 1993 Matthew Gray Wanderer was implemented the first
crawler. Using C++ and Python language a distributed
crawler was developed by Poly Bot. That crawler was selfconfident of a crawl manager[6].It has additional
downloader. In other words we can say it was additionally
DNS resolvers. For seen URLs in batch mode that mobile
phone crawler system are composed extra URLs in a queue
on disk. Crawling and caching module developed in
Zeinalipour-Yazti and Dikaiakos 2002 using Java language.
That crawler accepts requests whenever user send a query
after find query it downloading Web pages. New starting
URLs are continuously getting by Web RACE by this
procesure it crawl from (“seed”) the that is the most
outstanding feature. Boldi et al [7].. made a crawler name
was Ubicrawler,in that crawler there are not anty type of
central process, it is a distributed crawler using Java
language. In Ubicrawler, it has so many indistinguishable
"agents" that way consistent hashing calculated project
function.
Figure 2: Process diagram for Search engine
2.2. Web Crawling Research: Koster
Search engine have unavoidable part, that part is crawler. A
Stanford Google project have high-quality information
source. Special searching algorithms and on the crawling
process using collision of URL ordering, compared the
performance of crawlers in base of Google project. Robots
homepage have dissimilar research projects, and also
provide information crawlers development by using
comprehensive Web directory [11].
Harvest project is a one more development which considers
Web searching and using broader context in Web indices.
Topic-specific searched out resources which rope by
Harvest. A well-organized distributed information gathering
architecture made by content indexing. Different type of
resource detection tools like search engines can be
constructed by Harvest which is a base architecture of
search engine. Harvest have fulfill goal with the formation of
Web indices, which diminution of network and server load
connection [12].
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e-ISSN: 2395-0056
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p-ISSN: 2395-0072
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3. OBJECTIVE
1. The problem is network size. Network size is very wide
that’s way whenever a user search the page related with
work then user found many pages by using search engine.
Search engines maintain indices for searching documents
threw downloading pages constantly.
2. This process of crawling by web called web crawling
technique. That mobile phone acts as a server in crawling
technique. For searching the information so fast we should
use mobile phone crawler that way it reduce the traffic and
also reduce the load on remote side appreciably. Java aglets
can be help accomplishment of Mobile phone system.
4. PROPOSED APPROACH
In this crawling technique Mobile act as a server. In that
mobile crawling technique by browser it crawl the data
which store in the mobile SD card [13].
Figure 3: Proposed method for Mobile Crawling
TakePictureThread
It is a simple structure describing a Data position.
Figure 4: Code sample for describing data location
android.hardware.Camera.PictureCallback. This method
used Callback interface. By using this interface it supply
image data from a photo captureusing mobole phone server
[14].
void amity.search.testsocket.TakePictureThread.run().new
PictureCallback{...}.onPictureTaken(byte data, Camera c)
Specified by: onPictureTaken (...) in PictureCallback
public abstract void onPictureTaken (byte data, Camera
camera)
Since: API Level 1 It should call whenever image data is
obtainable after a picture is clicked by mobile phone server.
The format of the data depends on the context of the callback
and Camera. Parameters data a byte array of the picture data
[15].
camera: the Camera service object.
Figure 5.: Code sample for supplying data to user
java.io. Input Stream
This is the base class for all input streams. Reading data from
a source and convert it in a byte-wise manner is the input
stream.
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e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
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8. FUTURE WORK
In Future such implementation can be done so that we can
use these following ways of mobile phone crawler’s server
implementation:
(a) Conduct experiment with crawling approach that way
efficiency of our mobile crawlers are improved.
(b) By using digital signature, it can introduce a recognition
mechanism. That’s way we implement security oriented
design of the mobile phone crawler.
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e-ISSN: 2395-0056
Volume: 02 Issue: 03 | June-2015
p-ISSN: 2395-0072
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[10] Android Developers. The Developer’s Guide. Available
At: Http://Www.Vogella.Com//. Last Accessed Apr. 08, 2013
[11] Md. Faizan Farooqui, Dr. Md. Rizwan Beg And Dr. Md.
Qasim Rafiq," AN EXTENDED MODEL FOR EFFECTIVE
MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN
SPECIFIC AND INCREMENTAL CRAWLING", International
Journal On Web Service Computing (IJWSC), Vol.3,
No.3,September 2012.
[12] Ismet Aktas, Florian Schmidt, Muhammad Hamad Alizai,
Tobias Drüner, Klaus Wehrle," CRAWLER: An
Experimentation Platform For System Monitoring And
Cross-Layer-Coordination", 978-1-4673-1239-4/12/$31.00
C 2012 IEEE.