New Hoarding Technique for Handling Disconnection in Mobile

Topics: Data mining, File system, Cache Pages: 17 (5440 words) Published: November 5, 2012
Literature Survey On

New Hoarding Technique for Handling Disconnection in Mobile

Submitted by
Mayur Rajesh Bajaj
(IWC2011021)
In Partial fulfilment for the award of the degree
Of
Master of Technology
In
INFORMATION TECHNOLOGY
(Specialization: Wireless Communication and Computing)
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Under the Guidance of

Dr. Manish Kumar

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, ALLAHABAD
(A University Established under sec.3 of UGC Act, 1956 vide Notification no. F.9-4/99-U.3 Dated 04.08.2000 of the Govt. of India)

(A Centre of Excellence in Information Technology Established by Govt. of India) Table of Contents
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1. Introduction.........................................................................................................................3 2. Related Work and Motivation
1. Coda: The Pioneering System for Hoarding................................................................4 2. Hoarding Based on Data Mining Techniques..............................................................5 3. Hoarding Techniques Based on Program Trees...........................................................8 4. Hoarding in a Distributed Environment......................................................................9 5. Hoarding content for mobile learning........................................................................10 6. Mobile Clients Through Cooperative Hoarding........................................................ 10 7. Comparative Discussion previous techniques.............................................................11 3. Problem Definition.............................................................................................................11 4. New Approach Suggested

1. Zipf’s Law ....................................................................................................................12 2. Object Hotspot Prediction Model.................................................................................13 5. Schedule of Work................................................................................................................13 6. Conclusion...........................................................................................................................13 References.................................................................................................................................14

1. Introduction
Mobile devices are the computers which are having wireless communication capabilities to access global data services from any location while roaming. Now a day’s mobile devices are supporting applications such as multimedia, World Wide Web and other high profile applications which demands continuous connections and Mobile devices are lacking here. However, mobile devices with wireless communication are frequently disconnected from the network due to the cost of wireless communication or the unavailability of the wireless network. Disconnection period of mobile device from its network is called as offline period. Such offline periods may appear for different reasons – intentional (e.g., the available connection is too expensive for the user) or unintentional (e.g., lack of infrastructure at a given time and location). During offline periods the user can only access materials located on the device’s local memory. Mobile systems typically have a relatively small amount of memory, which is often not enough to store all the needed data for ongoing activities to continue. In such a case, a decision should be taken on which part of the data has to be cached. Often we cannot count on the user’s own judgement of what he/she will need and prefetch. Rather, in our opinion, some sort of automatic prefetching would be desirable.

Uninterrupted operation in offline mode will be in high demand and the mobile computer systems should provide support for it....

References: [1]. James J. Kistler and Mahadev Satyanarayanan. Disconnected Operation in the Coda File System. ACM Transactions on Computer Systems, vol. 10, no. 1, pp. 3–25, 1992.
[2]. Mahadev Satyanarayanan. The Evolution of Coda. ACM Transactions on Computer Systems, vol. 20, no. 2, pp. 85–124, 2002
[3]. Geoffrey H
[5]. Rakesh Agrawal and Ramakrishna Srikant, Fast Algorithms for Mining Association Rules. In Proceedings of the 20th International Conference on Very Large Databases, Chile, 1994.
[6]. GUO Peng, Hu Hui, Liu Cheng. The Research of Automatic Data Hoarding Technique Based on Hyper Graph. Information Science and Engineering (ICISE), 1st International Conference, 2009.
[7]. Huan Zhou, Yulin Feng, Jing Li. Probability graph based data hoarding for mobile environment. Presented at Information & Software Technology, pp.35-41, 2003.
[8]. Carl Tait, Hui Lei, Swarup Acharya, and Henry Chang. Intelligent File Hoarding for Mobile Computers. In Proceedings of the 1st Annual International Conference on Mobile Computing and Networking (MOBICOM’95), Berkeley, CA, 1995.
[9]. Anna Trifonova and Marco Ronchetti. Hoarding content for mobile learning. Journal International Journal of Mobile Communications archive Volume 4 Issue 4, Pages 459-476, 2006.
[11]. G. Zipf, Human Behavior and the Principle of Least Effort. Addison-Wesley, 1949.
[12]. Chentao Wu, Xubin He, Shenggang Wan, Qiang Cao and Changsheng Xie. Hotspot Prediction and Cache in Distributed Stream-processing Storage Systems. Performance Computing and Communications Conference (IPCCC) IEEE 28th International, 2009.
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