Multiprocessor Global Scheduling on Frame-Based DVFS Systems

TL;DR

This paper investigates energy-efficient global scheduling algorithms for multiprocessor systems with stochastic task durations and discrete frequency sets, focusing on frame-based DVFS systems to optimize power consumption.

Contribution

It introduces new global scheduling strategies tailored for stochastic task durations in multiprocessor DVFS systems with discrete frequencies.

Findings

Proposes a novel global scheduling algorithm for stochastic DVFS systems.

Analyzes energy efficiency improvements in multiprocessor scheduling.

Provides insights into handling unknown task durations in power management.

Abstract

In this ongoing work, we are interested in multiprocessor energy efficient systems, where task durations are not known in advance, but are know stochastically. More precisely, we consider global scheduling algorithms for frame-based multiprocessor stochastic DVFS (Dynamic Voltage and Frequency Scaling) systems. Moreover, we consider processors with a discrete set of available frequencies.