XDB: a novel database architecture for data analytics as a service
SOCC '13: ACM Symposium on Cloud Computing Santa Clara California October, 2013（2013）
摘要
Parallel database systems are major platforms for supporting analytical queries over large data sets. However, in order to offer SQL-like services for data analytics in the cloud, providers such as Amazon and Google do often build their own systems (e.g., BigTable). One reason is that existing database systems do not fulfill important requirements such as elasticity and fine-grained fault-tolerance. In this poster, we present XDB [2, 3], a parallel database system which implements two novel concepts: (1) a partitioning scheme that supports elasticity with regard to data and queries, and (2) a fine-grained fault-tolerance scheme for short- and long-running queries.
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关键词
sql,cloud computing,middleware,parallel databases,query processing,software architecture,mysql,sql-like services,xdb,adaptive parallelization techniques,complex analytical queries,complex data analytics,cost-based fault-tolerance scheme,database architecture,elastic fault-tolerant database,mid-query fault recovery,middleware approach,multiple nodes,parallel shared-nothing database systems,partitioning scheme,single-node database system,structured data analysis
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