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Large web search engines have to answer thousands of queries per second with interactive response times under tight latency constraints. Query processing is a major cost factor in operating large web search engines. To keep up with this immense workload, a number of techniques such as caching, index compression, and index and query pruning are used to improve scalability. We focus on two techniques,...
Result caching is an efficient technique for reducing the query processing load, hence it is commonly used in search engines. In this paper, we study query result caching and proposes a cache management policy for achieving higher hit ratios compared to traditional heuristics methods. Our cache management policy comprises an eviction policy and an admission policy, and it divides the memory allocated...
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...
Energy efficiency has been known as the most important problem in designing a data query system in wireless sensor networks (WSNs). In this paper, we propose a novel query method in which the clusters are constructed only in the query area as needed and destroyed after the query ends. To achieve this goal, we design and implement a Tree-Based Clustering (TBC) protocol to support upper layer applications...
In this paper, we propose an energy-efficient data query method for wireless sensor networks (WSNs). Our method is flexible and adaptive. To solve the cluster head coverage problem in our method, we propose virtual grid clustering (VGC) protocol in which the clusters are constructed only in the query area when they are needed. The clusters are destroyed after the query ends. Theoretical analysis and...
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