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Failover Time Evaluation Between Checkpoint Services in Multi-Tier Stateful Applications

机译:多层状态应用中检查点服务之间​​的故障转移时间评估

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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.
机译:为具有高可用性和最小数据丢失的用户提供云应用程序。必须检测到任何(硬件或软件)故障并快速恢复,以维护客户信任并避免财务损失。当我们正在处理多层次和状态应用程序时,故障恢复过程是一个很大的挑战,因为必须在新实例中检索和恢复故障应用程序的整个状态。此过程被命名为故障转移;它可以通过在应用程序级别或系统级别的检查点服务执行。根据检查点数据存储的位置,可以将其归类为非并置,愈合的温暖或并置热。这项工作在考虑多层和有状态应用程序中,在虚拟化和物理环境中的这两个检查点服务之间​​进行了评估。

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