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Pei Cao
Researcher at Google
Publications - 47
Citations - 13435
Pei Cao is an academic researcher from Google. The author has contributed to research in topics: Cache & Smart Cache. The author has an hindex of 28, co-authored 47 publications receiving 13083 citations. Previous affiliations of Pei Cao include Stanford University & University of Wisconsin-Madison.
Papers
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Proceedings ArticleDOI
Web caching and Zipf-like distributions: evidence and implications
TL;DR: This paper investigates the page request distribution seen by Web proxy caches using traces from a variety of sources and considers a simple model where the Web accesses are independent and the reference probability of the documents follows a Zipf-like distribution, suggesting that the various observed properties of hit-ratios and temporal locality are indeed inherent to Web accesse observed by proxies.
Journal ArticleDOI
Summary cache: a scalable wide-area web cache sharing protocol
TL;DR: This paper demonstrates the benefits of cache sharing, measures the overhead of the existing protocols, and proposes a new protocol called "summary cache", which reduces the number of intercache protocol messages, reduces the bandwidth consumption, and eliminates 30% to 95% of the protocol CPU overhead, all while maintaining almost the same cache hit ratios as ICP.
Proceedings ArticleDOI
Search and replication in unstructured peer-to-peer networks
TL;DR: This paper proposes a query algorithm based on multiple random walks that resolves queries almost as quickly as Gnutella's flooding method while reducing the network traffic by two orders of magnitude in many cases.
Proceedings Article
Cost-aware WWW proxy caching algorithms
Pei Cao,Sandy Irani +1 more
TL;DR: GreedyDual-Size as discussed by the authors incorporates locality with cost and size concerns in a simple and nonparameterized fashion for high performance, which can potentially improve the performance of main-memory caching of Web documents.
Proceedings ArticleDOI
Summary cache: a scalable wide-area Web cache sharing protocol
TL;DR: This paper proposes a new protocol called "Summary Cache"; each proxy keeps a summary of the URLs of cached documents of each participating proxy and checks these summaries for potential hits before sending any queries, which enables cache sharing among a large number of proxies.