Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2484028.2484182 | SIGIR |
Keywords | Field | DocType |
different metrics,financial cost metric,recent query,original lru strategy,well-known lru strategy,financial-cost-aware version,recent work,hybrid result,cache result,cost-aware caching strategy,result caching,metric | Hit rate,Data mining,Search engine,Computer science,Cache,Electricity,Finance,Database | Conference |
Citations | PageRank | References |
9 | 0.62 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fethi Burak Sazoglu | 1 | 14 | 1.41 |
| B. Barla Cambazoglu | 2 | 735 | 38.87 |
| Rifat Ozcan | 3 | 22 | 2.17 |
| Ismail Sengor Altingovde | 4 | 320 | 29.96 |
| Özgür Ulusoy | 5 | 1250 | 113.15 |