Meeting performance expectations of tenants without sacrificing economic benefit is a tough challenge for cloud providers. We propose a data replication strategy to simultaneously satisfy both the performance and provider profit. Response time of database queries is estimated with the consideration of parallel execution. If the estimated response time is not acceptable, bottlenecks are identified in the query plan. Data replication is realized to resolve the bottlenecks. Data placement is heuristically performed in a way to satisfy query response times at a minimal cost for the provider. We demonstrate the validity of our strategy in a performance evaluation study.

在不牺牲经济效益的情况下满足租户的绩效期望对于云提供商而言是一项艰巨的挑战。我们提出了一种数据复制策略，以同时满足性能和提供商利润。数据库查询的响应时间是在考虑并行执行的情况下估算的。如果估计的响应时间不可接受，则会在查询计划中识别瓶颈。实现数据复制以解决瓶颈。启发式地执行数据放置，以便以最小的价格满足提供者的查询响应时间。我们在绩效评估研究中证明了我们策略的有效性。