Browsing by Author "Vaze, R."

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    Critical database size for effective caching
    (2015) Ajaykrishnan, N.; Prem, N.S.; Prabhakaran, V.M.; Vaze, R.
    Replicating or caching popular content in memories distributed across the network is a technique to reduce peak network loads. Conventionally, the performance gain of caching was thought to result from making part of the requested data available closer to end users. Recently, it has been shown that by using a carefully designed technique to store the contents in the cache and coding across data streams a much more significant gain can be achieved in reducing the network load. Inner and outer bounds on the network load v/s cache memory tradeoff were obtained in [1]. We give an improved outer bound on the network load v/s cache memory tradeoff. We also address the question of to what extent caching is effective in reducing the server load when the number of files becomes large as compared to the number of users. We show that the effectiveness of caching become small when the number of files becomes comparable to the square of the number of users. � 2015 IEEE.
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    Critical database size for effective caching
    (Institute of Electrical and Electronics Engineers Inc., 2015) Ajaykrishnan, N.; Prem, N.S.; Prabhakaran, V.M.; Vaze, R.
    Replicating or caching popular content in memories distributed across the network is a technique to reduce peak network loads. Conventionally, the performance gain of caching was thought to result from making part of the requested data available closer to end users. Recently, it has been shown that by using a carefully designed technique to store the contents in the cache and coding across data streams a much more significant gain can be achieved in reducing the network load. Inner and outer bounds on the network load v/s cache memory tradeoff were obtained in [1]. We give an improved outer bound on the network load v/s cache memory tradeoff. We also address the question of to what extent caching is effective in reducing the server load when the number of files becomes large as compared to the number of users. We show that the effectiveness of caching become small when the number of files becomes comparable to the square of the number of users. © 2015 IEEE.