摘要：針對大規模資料分析的mapreduce技術已被廣泛意識和研究，我們已經看到了雲資料服務系統數量的爆炸性增長。 這些新系統是所謂「雲ＯＬＴＰ」應用，雖然它們並不支援ＡＣＩＤ事務。 典型例子如HTTP://www.aliyun.com/zixun/aggregation/14239.html">BigTable,PNUTS,Cassandra,HBase,Azure,CouchDB, SimpleDB,Voldemort,等等。 而且它們被應用於不同于傳統服務工作量的很多領域（如ＴＰＣ－Ｃ）。 The number of emerging cloud serving systems and the wide range of proposed applications,coupled with a lack of apples-to- apples performance comparisons,makes it difficult to understand the tradeoffs between systems and the workloads for which they are suited.（新興的雲系統與大範圍的其它系統，因為缺乏公平的性能比較，在系統間判斷誰更適合其工作量）我們發佈了yahoo! Cloud Serving Benchmark (YCSB) 框架，為的是促進新的雲資料服務系統的性能比較。 我們對四種廣泛應用的系統：Cassandra,HBase,Yahoo!'s PNUTS和MySQL的簡單實現版定義了關於基準和報表的核心集。 通過開源，我們希望其它的
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