Big data applications have become increasingly popular with the appearance of cloud
computing and green computing. Therefore, internet service providers (ISPs) need to build …

Recent technological advances have greatly improved the performance and features of
embedded systems. With the number of just mobile devices now reaching nearly equal to …

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 …

The growth of energy consumption has been explosive in current data centers, super
computers, and public cloud systems. This explosion has led to greater advocacy of green …

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 …

This article presents a survey of energy-aware scheduling algorithms proposed for real-time
systems. The analysis presents the main results starting from the middle 1990s until today …

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 …

Power and energy are first-order design constraints in high performance computing. Current
research using dynamic voltage scaling (DVS) relies on trading increased execution time for …

The increasing demand for storage, networking and computation has driven intensification
of large complex data centers that run many of today's Internet, financial, commercial and …