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

Slowdown factors determine the extent of slowdown a computing system can experience
based on functional and performance requirements. Dynamic Voltage Scaling (DVS) of a …

Many computing systems have adopted the dynamic voltage scaling (DVS) technique to
reduce energy consumption by slowing down ope-ration speed. However, the longer a job …

In the recent decade, voltage scaling has become an attractive feature for many system
component designs. In this paper we consider energy-efficient real-time task scheduling …

Although deep neural networks (DNNs) have been increasingly applied in industrial cyber
physical systems (ICPSs), they are vulnerable to security attacks due to the tight interaction …

In today's highly parametrized distributed computational environments, such as green grid
clusters and clouds, the growing power and cooling rates are becoming the dominant part of …

Dynamic voltage scaling (DVS) is a promising technique for battery-powered systems to
conserve energy consumption. Most existing DVS algorithms assume information about task …

In the past decades, a number of research results have been reported for energy-efficient
scheduling over uniprocessor and multiprocessor environments. Different from many of the …

Systems and methods are provided for dynamically control ling application placement and
server resource allocation in a distributed system wherein a performance manager and …

Because of its sheer size, Computational Grids (CGs) require advanced methodologies and
strategies to efficiently schedule users tasks and applications to resources. Scheduling …