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    A Financial Cost Metric for Result Caching
    (Assoc Computing Machinery, 2013) Sazoglu, Fethi Burak; Cambazoglu, B. Barla; Ozcan, Rifat; Altingovde, Ismail Sengor; Ulusoy, Ozgur
    Web search engines cache results of frequent and/or recent queries. Result caching strategies can be evaluated using different metrics, hit rate being the most well-known. Recent works take the processing overhead of queries into account when evaluating the performance of result caching strategies and propose cost-aware caching strategies. In this paper, we propose a financial cost metric that goes one step beyond and takes also the hourly electricity prices into account when computing the cost. We evaluate the most well-known static, dynamic, and hybrid result caching strategies under this new metric. Moreover, we propose a financial-cost-aware version of the well-known LRU strategy and show that it outperforms the original LRU strategy in terms of the financial cost metric.
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    Propagating Expiration Decisions in a Search Engine Result Cache
    (Assoc Computing Machinery, 2015) Sazoglu, Fethi Burak; Altingovde, Ismail Sengor; Ozcan, Rifat; Barla Cambazoglu, B.; Ulusoy, Ozgur
    Detecting stale queries in a search engine result cache is an important problem. In this work, we propose a mechanism that propagates the expiration decision for a query to similar queries in the cache to re-adjust their time-to-live values.
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    Strategies for Setting Time-to-Live Values in Result Caches
    (Assoc Computing Machinery, 2013) Sazoglu, Fethi Burak; Cambazoglu, B. Barla; Ozcan, Rifat; Altingovde, Ismail Sengor; Ulusoy, Ozgur
    In web query result caching, staleness of queries are often bounded via a time-to-live (TTL) mechanism, which expires the validity of cached query results at some point in time. In this work, we evaluate the performance of three alternative TTL mechanisms: time-based TTL, frequency-based TTL, and click-based TTL. Moreover, we propose hybrid approaches obtained by pair-wise combination of these mechanisms. Our results indicate that combining time-based TTL with frequency-based TTL yields superior performance (i.e., lower stale query traffic and less redundant computation) than using a particular mechanism in isolation.