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 …

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 optimization is a critical design concern for embedded systems. Combining Dvfs+
Dpm is considered as one preferable technique to reduce energy consumption. There have …

Dynamic voltage and frequency scaling (DVFS) has been widely used to manage energy in
real-time embedded systems. However, it was recently shown that DVFS has direct and …

Energy-efficient designs have played import roles for hardware and software
implementations for a decade. With the advanced technology of VLSI circuit designs, energy …

Jobs on high-performance computing systems are deployed mostly with the sole goal of
minimizing completion times. This performance demand has been satisfied without paying …

Many high-performance DSP processors employ multi-bank on-chip memory to improve
performance and energy consumption. This architectural feature supports higher memory …

Power-aware task scheduling on processors has been a research hotspot in computing
systems. Given an application G containing a set N of tasks {n 1,..., n| N|}, and a system …

This work targets energy-efficient scheduling of periodic real-time tasks over multiple DVS
processors with the considerations of power consumption due to leakage current. A …