Data Center Handbook, 2nd Edition

9COMPUTING, STORAGE, AND NETWORKING RESOURCE MANAGEMENT IN DATA CENTERS

Ronghui Cao¹, Zhuo Tang¹, Kenli Li¹, and Keqin Li²

¹ College of Information Science and Engineering, Hunan University, Changsha, China

² Department of Computer Science, State University of New York, New Paltz, New York, United States of America

9.1 INTRODUCTION

Current data centers can contain hundreds of thousands of servers [1]. It is no doubt that the performance and stability of data centers have been significantly impacted by resource management. Moreover, in the course of data center construction, the creation of dynamic resource pools is essential. Some technology companies have built their own data centers for various applications, such as the deep learning cloud service run by Google. Resource service providers usually rent computation and storage resources to users at a very low cost.

Cloud computing platform, which rent various virtual resources to tenants, is becoming more and more popular for resource service websites or data applications. However, with the increasing of virtualization technologies and various clouds continue to expand their server clusters, resource management is becoming more and more complex. Obviously, adding more hardware devices to extend the cluster scale of the data center easily causes unprecedented resource management pressures in data centers.

Resource management in cloud platforms refers to how to efficiently utilize and schedule the virtual resources, such as ...