{"id":152940,"date":"2006-04-01T00:00:00","date_gmt":"2006-04-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/relaxed-currency-serializability-for-middle-tier-caching-and-replication-extended-version\/"},"modified":"2018-10-16T20:23:24","modified_gmt":"2018-10-17T03:23:24","slug":"relaxed-currency-serializability-for-middle-tier-caching-and-replication-extended-version","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/relaxed-currency-serializability-for-middle-tier-caching-and-replication-extended-version\/","title":{"rendered":"Relaxed Currency Serializability for Middle-Tier Caching and Replication (extended version)"},"content":{"rendered":"
\n

Many applications, such as e-commerce, routinely use copies of data that are not in sync with the database due to heuristic caching strategies used to enhance performance. We study concurrency control for a transactional model that allows update transactions to read out-of-date copies. Each read operation carries a \u201cfreshness constraint\u201d that specifies how fresh a copy must be in order to be read. We offer a definition of correctness for this model and present algorithms to ensure several of the most interesting freshness constraints. We outline a serializability-theoretic correctness proof and present the results of a detailed performance study. This is an extended version of a paper with the same title that appeared in SIGMOD 2006.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Many applications, such as e-commerce, routinely use copies of data that are not in sync with the database due to heuristic caching strategies used to enhance performance. We study concurrency control for a transactional model that allows update transactions to read out-of-date copies. Each read operation carries a \u201cfreshness constraint\u201d that specifies how fresh a 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