Energy-Efficient Scheduling for Tasks with Deadline in Virtualized Environments

Energy-efficient deadline scheduling for heterogeneous systems

Energy efficiency is amajor concern inmodern high performance computing (HPC) systems and a poweraware scheduling approach is a promising way to achieve that. While there are a number of studies in power-aware scheduling by means of dynamic power management (DPM) and/or dynamic voltage and frequency scaling (DVFS) techniques, most of them only consider scheduling at a steady state. However, HPC...

Optimal energy efficient packet scheduling with arbitrary individual deadline guarantee

Deadline Scheduling of Multiprocessor Tasks

In the classical scheduling theory it is widely assumed that any task requires for its processing only one processor at a time. Nowadays with the technological progress this assumption has become not so obvious. In the paper, two algorithms for solving the problem of scheduling tasks requiring more than one processor at a time in the real-time environment, will be given. The first is based on a...

Energy-Efficient Scheduling for Tasks with Uncertain Workloads

Energy Efficient Deadline Scheduling in Two Processor Systems

The past few years have witnessed different scheduling algorithms for a processor that can manage its energy usage by scaling dynamically its speed. In this paper we attempt to extend such work to the two-processor setting. Specifically, we focus on deadline scheduling and study online algorithms for two processors with an objective of maximizing the throughput, while using the smallest possibl...