For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com

1. Impulse Technologies
Beacons U to World of technology
044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
Using Evolutive Summary Counters for Efficient Cooperative
Caching in Search Engines
Abstract
We propose and analyze a distributed cooperative caching strategy based on the
Evolutive Summary Counters (ESC), a new data structure that stores an approximated
record of the data accesses in each computing node of a search engine. The ESC capture
the frequency of accesses to the elements of a data collection, and the evolution of the
access patterns for each node in a network of computers. The ESC can be efficiently
summarized into what we call ESC-summaries to obtain approximate statistics of the
document entries accessed by each computing node. We use the ESC-summaries to
introduce two algorithms that manage our distributed caching strategy, one for the
distribution of the cache contents, ESC-placement, and another one for the search of
documents in the distributed cache, ESC-search. While the former improves the hit rate
of the system and keeps a large ratio of data accesses local, the latter reduces the network
traffic by restricting the number of nodes queried to find a document. We show that our
cooperative caching approach outperforms state-of-the-art models in both hit rate,
throughput, and location recall for multiple scenarios, i.e., different query distributions
and systems with varying degrees of complexity.
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