High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

Reducing the consumption of energy and the network lifetime are the main challenges that
affect wireless sensor networks (WSNs). High-quality clustering is one of the most important …

In the past few years, with the rapid development of heterogeneous computing systems
(HCS), the issue of energy consumption has attracted a great deal of attention. How to …

Reducing energy consumption for high end computing can bring various benefits such as
reducing operating costs, increasing system reliability, and environmental respect. This …

With the wide deployment of cloud computing in many business enterprises as well as
science and engineering domains, high quality security services are increasingly critical for …

Dynamic voltage and frequency scaling (DVFS) is a well-known energy consumption
optimization technique in embedded systems and dynamically scaling down the voltage of a …

To achieve high energy efficiency and low response time in big data stream computing
environments, it is required to model an energy-efficient resource scheduling and …

Energy efficient workflow scheduling is the demand of the present time's computing
platforms such as an infrastructure-as-a-service (IaaS) cloud. An appreciable amount of …

Energy consumption has been one of the most critical issues in the Chip Multiprocessor
(CMP). Using the Dynamic Voltage and Frequency Scaling (DVFS), a CMP system can …

High energy consumption is one of the biggest obstacles to the rapid development of
computing systems, and reducing energy consumption is quite urgent and necessary for …