Energy-efficient process clustering assignment algorithm for distributed system

Abstract

In this thesis two scheduling algorithms for distributed scheduling assignment are proposed to address the issue on energy consumption. The first algorithm is an energy- efficient process clustering assignment (EPC) algorithm which aims at efficient energy consumption during process execution, system idling, and data transmission. The second algorithm is an energy-sufficiency level assignment (ESL) algorithm which aims at reducing scheduling time, in particular, tasks that can only be executed on some designated processing units. Simulation results showed that the EPC algorithm yielded satisfactory energy consumption during processes, while the ESL algorithm reduced task scheduling time and energy considerably in comparison with other existing algorithms. The proposed algorithms can also handle scheduling assignment under limited power supply. As a consequence, total energy consumption decreases.