Improving the performance of hypervisor-based fault tolerance

Hypervisor-based fault tolerance (HBFT), a checkpoint-recovery mechanism, is an emerging approach to sustaining mission-critical applications. Based on virtualization technology, HBFT provides an economic and transparent solution. However, the advantages currently come at the cost of substantial overhead during failure-free, especially for memory intensive applications. This paper presents an in-depth examination of HBFT and options to improve its performance. Based on the behavior of memory accesses among checkpointing epochs, we introduce two optimizations, read fault reduction and write fault prediction, for the memory tracking mechanism. These two

• Type: Journal
• Year: 2010
• Where: IPPS
• Authors: Jun Zhu, Wei Dong, Zhefu Jiang, Xiaogang Shi, Zhen Xiao, Xiaoming Li
• Keywords: Checkpoint-recovery Mechanism, Distributed And Parallel Computing, Hypervisor-based Fault Tolerance, IPPS 2010, Memory Intensive Applications