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Cooperative Cashing? An Economic Analysis of Document Duplication in Cooperative Web Caching

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  • Kartik Hosanagar

    (Operations and Information Management, The Wharton School of the University of Pennsylvania, Philadelphia, Pennsylvania 19103)

  • Yong Tan

    (Foster School of Business, University of Washington, Seattle, Washington 98195)

Abstract

Cooperative caching is a popular mechanism to allow an array of distributed caches to cooperate and serve each others' Web requests. Controlling duplication of documents across cooperating caches is a challenging problem faced by cache managers. In this paper, we study the economics of document duplication in strategic and nonstrategic settings. We have three primary findings. First, we find that the optimum level of duplication at a cache is nondecreasing in intercache latency, cache size, and extent of request locality. Second, in situations in which cache peering spans organizations, we find that the interaction between caches is a game of strategic substitutes wherein a cache employs lesser resources towards eliminating duplicate documents when the other caches employs more resources towards eliminating duplicate documents at that cache. Thus, a significant challenge will be to simultaneously induce multiple caches to contribute more resources towards reducing duplicate documents in the system. Finally, centralized decision making, which as expected provides improvements in average latency over a decentralized setup, can entail highly asymmetric duplication levels at the caches. This in turn can benefit one set of users at the expense of the other, and thus will be challenging to implement.

Suggested Citation

  • Kartik Hosanagar & Yong Tan, 2012. "Cooperative Cashing? An Economic Analysis of Document Duplication in Cooperative Web Caching," Information Systems Research, INFORMS, vol. 23(2), pages 356-375, June.
    • Handle: RePEc:inm:orisre:v:23:y:2012:i:2:p:356-375
    DOI: 10.1287/isre.1110.0347
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    References listed on IDEAS

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    1. Kartik Hosanagar & John Chuang & Ramayya Krishnan & Michael D. Smith, 2008. "Service Adoption and Pricing of Content Delivery Network (CDN) Services," Management Science, INFORMS, vol. 54(9), pages 1579-1593, September.
    2. Kaushik Dutta & Samit Soni & Sridhar Narasimhan & Anindya Datta, 2006. "Optimization in Object Caching," INFORMS Journal on Computing, INFORMS, vol. 18(2), pages 243-254, May.
    3. Anindya Datta & Kaushik Dutta & Helen Thomas & Debra VanderMeer, 2003. "World Wide Wait: A Study of Internet Scalability and Cache-Based Approaches to Alleviate It," Management Science, INFORMS, vol. 49(10), pages 1425-1444, October.
    4. Xiao Fang & Olivia R. Liu Sheng & Wei Gao & Balakrishna R. Iyer, 2006. "A Data-Mining-Based Prefetching Approach to Caching for Network Storage Systems," INFORMS Journal on Computing, INFORMS, vol. 18(2), pages 267-282, May.
    5. Anna Ye Du & Xianjun Geng & Ram Gopal & R. Ramesh & Andrew B. Whinston, 2008. "Capacity Provision Networks: Foundations of Markets for Sharable Resources in Distributed Computational Economies," Information Systems Research, INFORMS, vol. 19(2), pages 144-160, June.
    6. Yong Tan & Yonghua Ji & Vijay S. Mookerjee, 2006. "Analyzing Document-Duplication Effects on Policies for Browser and Proxy Caching," INFORMS Journal on Computing, INFORMS, vol. 18(4), pages 506-522, November.
    7. Kartik Hosanagar & Ramayya Krishnan & John Chuang & Vidyanand Choudhary, 2005. "Pricing and Resource Allocation in Caching Services with Multiple Levels of Quality of Service," Management Science, INFORMS, vol. 51(12), pages 1844-1859, December.
    8. Vijay S. Mookerjee & Yong Tan, 2002. "Analysis of a Least Recently Used Cache Management Policy for Web Browsers," Operations Research, INFORMS, vol. 50(2), pages 345-357, April.
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