DbHAaaS:数据库高可用性即服务

Chetan Jaiswal, Vijay Kumar
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引用次数: 5

摘要

数据库(DB)系统通过“Undo”和/或“Redo”操作来恢复数据库。系统采用“Checkpoint”操作,减少整体恢复时间。云的体系结构使得通过始终将DB带到下一个一致状态来消除系统故障的影响成为可能。我们提出了一种消除这种失效影响的新方案。因此,在我们的系统中,事务总是提交,而不管系统是否故障。我们把我们的系统称为AAP (Always Ahead Processing)。我们将事务执行和事务失败及其随后的恢复结合在一起,作为一个无缝操作,消除了恢复期间的系统停机时间,从而使事务执行持久化。最终的结果是一个具有高可用性和容错性的数据库系统。我们的工作使云提供商能够提供事务性HA-DBMS作为一个选项,它也可以处理多个数据源,而不一定是关系数据源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DbHAaaS: Database High Availability as a Service
Database (DB) system applies "Undo" and/or "Redo" operations to recover the DB from a failure. The system uses "Checkpoint" operation to reduce the overall recovery time. The architecture of the cloud makes it possible to eliminate the effect of system failure by always taking the DB to the next consistent state. We present a novel scheme of eliminating the effect of such failure. Thus, in our system a transaction always commits irrespective of system failure. We refer to our system as AAP (Always Ahead Processing). We have made transaction execution persistent by combining together transaction execution and transaction failure and its subsequent recovery as one seamless operation eliminating system downtime during recovery. The end result is a DB system with high availability and fault-tolerance. Our work enables cloud providers to offer transactional HA-DBMS as an option that too with multiple data sources not necessarily relational.
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