A survey of Web cache replacement strategies

By Stefan Podlipnig, L. Böszörményi. CSUR, 2003

841 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/0ba50060cc68c61c0066335a947841965b03b6ab

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Fabrizio Silvestri
2. Hongbin Luo
3. Hongke Zhang
4. Ricardo A. Baeza-Yates
5. Aristides Gionis
6. Nikolaos Laoutaris
7. Dario J. Rossi
8. Ioannis Stavrakakis

In Information Systems

1. Fabrizio Silvestri
2. Hongbin Luo
3. Hongke Zhang
4. Ricardo A. Baeza-Yates
5. Aristides Gionis
6. Nikolaos Laoutaris
7. Vanessa Murdock
8. Dario J. Rossi

In Materials Chemistry

1. Fabrizio Silvestri
2. Nikolaos Laoutaris
3. Ioannis Stavrakakis
4. Hao Che

Citations in the corpus

• The LCD interconnection of LRU caches and its analysis (2006, methodology): “Due to the aforementioned independent operation of the meta algorithm from the employed replacement algorithm, it is believed that the presented results and conclusions might apply to some extent to other replacement algorithms as well (the reader is referred to Podlipnig and Böszörmenyi [4] for a”
• Design trade-offs for search engine caching (2008, background): “A third possibility, although of less interest to this article, is to use proxies to mediate the communication between clients and servers, storing frequently requested objects [Podlipnig and Boszormenyi 2003].”
• A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications (2017, background): “Furthermore, the authors in [28] described the advantages and disadvantages of cache replacement strategies and outlined potential research topics in modern proxy caches.”
• A Survey of Caching Mechanisms in Information-Centric Networking (2015, background): “Since there is a comprehensive survey on cache replacement strategies, we refer interested readers to the paper [27].”
• Caching performance of content centric networks under multi-path routing (and more) (2011, background): “The simulator allows us to assess CCN performance in scenarios with large orders of magnitude for CCN cache sizes (up to 106 chunks), catalog sizes (up to 108 files), and file sizes (up to 103 chunks).”
• Mining Query Logs: Turning Search Usage Data into Knowledge (2010, background): “chitectures caching is exploited to enhance the user’s browsing experience, and to reduce network congestion [167].”