会议专题

Admission Polices for outperforming the efficiency of Search Engines

We study the caching of query result pages in Web search engines. Popular search engines receive millions of queries per day, and efficient policies for caching query results may enable them to lower their response time. In this paper, we propose an architecture that uses a combination of cache result and admission policy to improve the efficiency of search engines. In our system, we divide the cache into two layers to ensure the high hit ratio of the cache. We propose a admission policy to prevent infrequent queries from taking space of more frequent queries in the cache. We also introduce new eviction policy to update the result cache, which is more general than traditional heuristics such as LRU. We experiment with real query logs and a large document collection, and show that the hybrid cache enables efficient reduction of the query processing costs and thus is practical to use in Web search engines.

Search engines eviction policy admission policy algorithms

Hui Li Cun-hua Li YunHu Shu Zhang Xia Wang

Department of Computer Engineering Huai Hai institute of Technology Lianyungang, China Huai Hai institute of Technology Lianyungang, China Department of Computer Sciences Huai Hai institute of Technology Lianyungang, China

国际会议

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

厦门

英文

445-449

2010-10-29(万方平台首次上网日期,不代表论文的发表时间)