Data centers in public, private, and hybrid cloud settings make it possible to provision virtual
machines (VMs) with unprecedented flexibility. However, purchasing, operating, and …

Workflows have been used to represent a variety of applications involving high processing
and storage demands. As a solution to supply this necessity, the cloud computing paradigm …

We study a problem of fundamental importance to ICNs, namely, minimizing routing costs by
jointly optimizing caching and routing decisions over an arbitrary network topology. We …

The workflow paradigm has become the standard to represent processes and their
execution flows. With the evolution of e-Science, workflows are becoming larger and more …

Finding the best way to map virtual machines (VMs) to physical machines (PMs) in a cloud
data center is an important optimization problem, with significant impact on costs …

One of the key problems for Infrastructure‐as‐a‐Service providers is finding the optimal
allocation of virtual machines on the physical machines available in the provider's data …

The virtual machine (VM) allocation problem in cloud computing has been widely studied in
recent years, and many algorithms have been proposed in the literature. Most of them have …

Dynamic consolidation of virtual machines (VMs) in a cloud data center can be used to
minimize power consumption. Beloglazov et al. have proposed the MM (Minimization of …

Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic
environments to meet the needs of a generation of researchers requiring large amounts of …

Finding the best map** of virtual machines to physical machines in cloud data centers is a
very important optimization problem, with huge impact on costs, application performance …