Abstract
Data stores in distributed systems maintain backup servers for data recovery. Most existing data stores use non-volatile storage to store backup data. However, high-performance systems may require the use of the main memory for backup storage instead of disks due to the performance gap between the disks and the memory. In this paper, we present an expected processing time analysis for data stores in distributed systems using multiple memory backup servers for recovery. Our analysis shows that the expected processing time decreases as the number of backup servers increases. Thus the number of backup servers can be chosen to meet the performance requirement based on our analysis.
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