State-of-the-Art Energy-Efficient Thermal-Aware Scheduling in Cloud

Abstract

Cloud computing delivers services on demand basis. It provides resource provisioning which includes CPU, memory, and networks. As cloud users are increasing, resource count is also increasing. The cloud resources consume the enormous amount of energy and produce CO 2 emissions. Thus, energy consumption and thermal management are the major challenges for cloud service providers due to increased use of computational resources. Further, the cooling energy efficiency which is affected by thermal environment is the main issue in the recirculation of hot air and it creates hotspots along with inlet temperature distribution. In data centers, electricity can be saved in two areas: computing and cooling. Data center servers need a constant supply of cold air from the cooling mechanisms. In this paper, we present the detailed survey of existing approaches for energy-efficient thermal-aware scheduling in cloud computing environment. We classified the scheduling approaches into energy management mechanisms and thermal-aware techniques for cloud computing system.