Energy-Efficient Big Data Analytics in Datacenters

Abstract

The volume of generated data increases by the rapid growth of Internet of Things, leading to the big data proliferation and more opportunities for datacenters. Highly virtualized cloud-based datacenters are currently considered for big data analytics. However, big data requires datacenters with promoted infrastructure capable of undertaking more responsibilities for handling and analyzing data. Also, as the scale of the datacenter is increasingly expanding, minimizing energy consumption and operational cost is a vital concern. Future datacenters infrastructure including interconnection network, storage, and servers should be able to handle big data applications in an energy-efficient way. In this chapter, we aim to explore different aspects of could-based datacenters for big data analytics. First, the datacenter architecture including computing and networking technologies as well as datacenters for cloud-based services will be illustrated. Then the concept of big data, cloud computing, and some of the existing cloud-based datacenter platforms including tools for big data analytics will be introduced. We later discuss the techniques for improving energy efficiency in the cloud-based datacenters for big data analytics. Finally, the current and future trends for datacenters in particular with respect to energy consumption to support big data analytics will be discussed. © 2016 Elsevier Inc.