Impact of Replacement Policies on Static-Dynamic Query Results Cache in Web Search Engines
Title | Impact of Replacement Policies on Static-Dynamic Query Results Cache in Web Search Engines |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Ma, H., Tao, O., Zhao, C., Li, P., Wang, L. |
Conference Name | 2017 IEEE International Conference on Intelligence and Security Informatics (ISI) |
Keywords | Algorithms, 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. |
URL | http://ieeexplore.ieee.org/document/8004890/?reload=true |
DOI | 10.1109/ISI.2017.8004890 |
Citation Key | ma_impact_2017 |
- replacement policies
- Web search engines
- Web search engine companies
- Web search engine
- Web search
- Web Caching
- static-dynamic query
- static-dynamic cache
- search engines
- SDC
- Scalability
- Resiliency
- resilience
- Algorithms
- real large scale query logs
- query results cache
- query processing
- pubcrawl
- Metrics
- law enforcement
- internet
- Engines
- Companies
- Clocks
- caching query
- cache system