Journal Homepage: www.ijcst.org

Abstract—Modern business has a 24x7 non-stop running and the availability of the business continuity for everything, from everywhere, at all time is a growing requirement. System out-ages are more often due to software fault, than hardware fault. Software availability is one of the weakest links in system avail-ability. Several studies have reported that one of the causes of unplanned software outages is the software aging phenomenon. Server virtualization is becoming so reliable and cost effective solutions for the availability of the business continuity. In virtua-lization environments, the hypervisor or virtual machine moni-tor (VMM) itself or virtual machines (VM) can fail with software failure. Software rejuvenation is one of the promising techniques assuring high availability of server virtualized system. To pre-vent system failures caused by software aging in both VM and VMM, software rejuvenation can be applied. The work pre-sented in this paper aims to offer high availability against soft-ware aging of virtualized server system by providing both VM clustering software rejuvenation and VM migration based soft-ware rejuvenation analytic model using stochastic reward nets (SRN) for time based rejuvenation policy. Numerical examples are presented to illustrate the applicability of the model. The numerical derivation results are validated with the evaluation results through SHARPE tool