Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

The growing global demand for services offered by data centers (DCs) has increased their
total power consumption and carbon emissions. Recent figures revealed that DCs account …

The energy consumption of under-utilized resources, particularly in a cloud environment,
accounts for a substantial amount of the actual energy use. Inherently, a resource allocation …

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

The great amounts of energy consumed by large-scale computing and network systems,
such as data centers and supercomputers, have been a major source of concern in a society …

Energy conservation is a major concern in cloud computing systems because it can bring
several important benefits such as reducing operating costs, increasing system reliability …

In this paper, we investigate the problem of scheduling precedence-constrained parallel
applications on heterogeneous computing systems (HCSs) like cloud computing …

Traditionally, the primary performance goal of computer systems has focused on reducing
the execution time of applications while increasing throughput. This performance goal has …

Energy efficiency is a major concern in modern high-performance computing system design.
In the past few years, there has been mounting evidence that power usage limits system …