Visible to the public Impact of Replacement Policies on Static-Dynamic Query Results Cache in Web Search Engines

TitleImpact of Replacement Policies on Static-Dynamic Query Results Cache in Web Search Engines
Publication TypeConference Paper
Year of Publication2017
AuthorsMa, H., Tao, O., Zhao, C., Li, P., Wang, L.
Conference Name2017 IEEE International Conference on Intelligence and Security Informatics (ISI)
KeywordsAlgorithms, cache system, caching query, Clocks, Companies, Engines, Internet, law enforcement, Metrics, pubcrawl, query processing, query results cache, real large scale query logs, replacement policies, resilience, Resiliency, Scalability, SDC, search engines, static-dynamic cache, static-dynamic query, Web Caching, Web search, Web search engine, Web search engine companies, Web search engines
Abstract

Caching query results is an efficient technique for Web search engines. A state-of-the-art approach named Static-Dynamic Cache (SDC) is widely used in practice. Replacement policy is the key factor on the performance of cache system, and has been widely studied such as LIRS, ARC, CLOCK, SKLRU and RANDOM in different research areas. In this paper, we discussed replacement policies for static-dynamic cache and conducted the experiments on real large scale query logs from two famous commercial Web search engine companies. The experimental results show that ARC replacement policy could work well with static-dynamic cache, especially for large scale query results cache.

URLhttp://ieeexplore.ieee.org/document/8004890/?reload=true
DOI10.1109/ISI.2017.8004890
Citation Keyma_impact_2017