Optimal Object Placement Policies To Minimize The Network-Wide Content Provisioning Cost

Ravikala Raveendra, G Raju, K.T.V Subbarao

Abstract


Social Wireless Networks are formed by mobile devices such as data enabled phones, electronic book readers etc., allocating common interests in electronic content and physically gathering together in public places. Electronic object caching in such social wireless networks (SWNETs)are capable to diminish the content provisioning cost which depends greatly on the service and pricing dependences amide range of stakeholders together with content providers (CP), network service providers and End Consumers (EC). Drawing inspiration from Amazon’s Kindle electronic book delivery business, this paper build up practical network, service and pricing models which are then used for creating two object caching approaches for diminishing content provisioning costs in networks with homogenous and assorted object demands. The paper creates logical and replication models for analyzing the proposed caching approaches   in the presence of selfish users that diverge from network-wide cost-optimal policies.

 


Keywords


Online social networks, information filtering, short text classification, policy-based personalization.

References


M. Zhao, L. Mason, and W. Wang, “Empirical Study on Human Mobility for Mobile Wireless Networks,” Proc. IEEE Military Comm. Conf. (MILCOM), 2008.

“Cambridge Trace File, Human Interaction Study,”

E. Cohen, B. Krishnamurthy, and J. Rexford, “Evaluating Server- Assisted Cache Replacement in the Web,” Proc. Sixth Ann. European Symp. Algorithms, pp.

S. Banerjee and S. Karforma, “A Prototype Design for DRM Based Credit Card Transaction in E-Commerce,” Ubiquity, vol.

L. Breslau, P. Cao, L. Fan, and S. Shenker, “Web Caching and Zipf- Like Distributions: Evidence and Implications,”

C. Perkins and E. Royer, “Ad-Hoc On-Demand Distance Vector Routing,” Proc. IEEE Second Workshop Mobile Systems and Applications.

S. Podlipnig and L. Boszormenyi, “A Survey of Web Cache Replacement Strategies,” ACM Computing Surveys, vol. 35, pp.

A. Chaintreau, P. Hui, J. Crowcroft, C. Diot, R. Gass, and J. Scott, “Impact of Human Mobility on Opportunistic Forwarding Algorithms,”

“BU-Web-Client - Six Months of Web ClientTraces

A. Wolman, M. Voelker, A. Karlin, and H. Levy, “On the Scale and Performance of Cooperative Web Caching,” Proc. 17th ACM Symp. Operating Systems Principles,

S. Dykes and K. Robbins, “A Viability Analysis of Cooperative Proxy Caching,” Proc.

M. Korupolu and M. Dahlin, “Coordinated Placement andReplacement for Large-Scale Distributed Caches,” IEEE Trans. Knowledge and Data Eng

L. Yin and G. Cao, “Supporting Cooperative Caching in Ad Hoc Networks,”

Y. Du, S. Gupta, and G. Varsamopoulos, “Improving On-Demand Data Access Efficiency in MANETs with Cooperative Caching,”

C. Chow, H. Leong, and A. Chan, “GroCoca: Group-Based Peerto- Peer Cooperative Caching in Mobile Environment,”


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