Two major constraints demand more consideration for energy efficiency in cluster
computing:(a) operational costs, and (b) system reliability. Increasing energy efficiency in …

Many scheduling techniques have been presented recently which exploit dynamic voltage
scaling (DVS) and dynamic power management (DPM) for both uniprocessors, and …

In recent years, the issue of energy consumption in parallel and distributed computing
systems has attracted a great deal of attention. In response to this, many energy-aware …

The twenty-first century has witnessed major technological changes that have transformed
the way we live, work, and interact with one another. One of the major technology enablers …

The energy consumption issue in distributed computing systems has become quite critical
due to environmental concerns. In response to this, many energy-aware scheduling …

The broad adoption of cloud services led to an increasing concentration of servers in a few
data centers. Reports estimate the energy consumptions of these data centers to be …

Many real-world applications need to frequently access data stored on large-scale parallel
disk storage systems. On one hand, prompt responses to access requests are essential for …

The energy consumption issue in distributed computing systems raises various monetary,
environmental and system performance concerns. Electricity consumption in the US doubled …

Energy efficiency is a major concern in modern high performance computing (HPC) systems
and a power-aware scheduling approach is a promising way to achieve that. While there are …

In this study, we have considered the problem of scheduling precedence-constraint parallel
applications (workflows) in heterogeneous grid-computing environment. Recently many …