多层有状态应用程序中检查点服务之间的故障转移时间评估

D. Gomes, G. Gonçalves, Moises Bezerra, D. Sadok, P. Endo, C. Curescu
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引用次数: 3

摘要

云应用程序提供给用户的是高可用性和最小的数据丢失。任何(硬件或软件)故障都必须快速检测和恢复,以保持客户信任并避免经济损失。当我们处理多层和有状态的应用程序时,故障恢复过程是一个很大的挑战,因为必须在一个新实例中检索和恢复故障应用程序的整个状态。这个过程被命名为故障转移;它可以由应用程序级或系统级的检查点服务执行。根据检查点数据存储的位置,可以将其分类为非并置、热并置或热并置。本文在考虑多层和有状态应用程序的情况下,对虚拟化和物理环境中的这两个检查点服务进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Failover time evaluation between checkpoint services in multi-tier stateful applications
Cloud applications are offered to users with high availability and minimal data loss. Any (hardware or software) failure must be detected and recovered quickly, in order to maintain customer trust and avoid financial losses. When we are dealing with multi-tier and stateful applications, the failure recovery process is a big challenge because the whole state of the failed application must be retrieved and restored in a new instance. This process is named as failover; it can be performed by a checkpoint service at application-level or at system-level. Depending on the location of the checkpoint data storage, it can be classified as non-collocated, collocated warm, or collocated hot. This work presents an evaluation between these two checkpoint services in both virtualized and physical environments, considering a multi-tier and stateful application.
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