Abstract:
Disaster recovery (DR) is an important element
of the complex information technology (IT) systems.
The availability of the IT for everything, from
everywhere, at all time is a growing requirement.
Effective IT strategies need to have both high
availability (HA) and disaster recovery (DR).
Nowadays, virtualized platforms have become the
most popular option to deploy complex enough
services. Software availability is one of the weakest
links in system availability. Web servers have
continuous execution of long duration and with rather
varied workloads. Such characteristics make them
potential candidates for a degenerative phenomenon
called software aging. The work presented in this
paper aims to offer the high availability solution
against software aging of virtualized local disaster
recovery (VLDR) by providing measurement based
software rejuvenation. The idea behind our paper is
two-fold. First, we present the framework seeks to
maximize the number of services running
simultaneously, while guaranteeing the resources
needed by each service. Second, we estimate the time
to aging-related failures and then which used as aging
failure rates for measurement based software
rejuvenation through a stochastic reward nets model.
Finally, we perform the numerical analysis to evaluate
the performance of the model.
