Analysis of Cost-Aware Policies for Intersection Caching in Search Nodes
We propose static, dynamic and hybrid cost-awarepolicies for intersection caching and we introduce three different strategies to solve a query computing list intersections. We run experiments over a simulation framework using real data for both document collection and text queries. We observe that:...
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| Autores principales: | , |
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| Formato: | CONF |
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_15224902_v_n_p4_Feuerstein |
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| Sumario: | We propose static, dynamic and hybrid cost-awarepolicies for intersection caching and we introduce three different strategies to solve a query computing list intersections. We run experiments over a simulation framework using real data for both document collection and text queries. We observe that: a) cost-aware policies outperform cost-oblivious policies, b) static policies are better than dynamic policies (as in posting list caching), c) hybrid policies outperform the previous ones achieving up to 29% of cost savings and d) computing strategies that try to maximize cache usage have a better performance than the a-priori most efficient ones. © 2015 IEEE. |
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