This paper proposes a Virtual Machine (VM) failure prediction based intelligent cloud
resource management (FP-IRM) model that estimates failure of VMs proactively and assorts …

The indispensable collaboration of cloud computing in every digital service has raised its
resource usage exponentially. The ever-growing demand of cloud resources evades service …

Cloud computing has become inevitable for every digital service which has exponentially
increased its usage. However, a tremendous surge in cloud resource demand stave off …

In the present study, a new approach is suggested for the prediction of virtual machine (VM)
failure based on the time series stochastic model. Motivated by various proactive fault …

In large-scale datacenters, memory failure is one of the leading causes of server crashes,
and uncorrectable error (UCE) is the major fault type indicating defects of memory modules …

The bulk of the fault tolerance techniques that are in use today laid their primary emphasis,
in the event that a virtual machine fails, on the production of clones to replace it, rather than …

Over the past few decades, computing environments have progressed from a single-user
milieu to highly parallel supercomputing environments, network of workstations (NoWs) and …

The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …

Cloud computing is susceptible to failures. Allocating Virtual machine (VM) in a reliable
fashion is considered as one of the crucial problems in Cloud computing environment. Most …

One of the current discussions concerning cloud computing environments involves the issue
of failure prediction that influences the delivery of on-demand services through the Internet …