A Distributed Server Provisioning Algorithm for Data Centers with Nonstationary User Requests

Abstract

In the era of growing information communication technology, large-scale data centers are inevitable solutions for processing and storing huge amount of incoming data. Large-scale data centers, however, consume tremendous amount of energy. Achieving energy-efficiency is one of the key problems in data center operations. In the previous research study, we proposed a distributed speed scaling and load balancing algorithm for reducing energy consumption while attaining a desired quality of service when the user requests are stationary stochastic processes. In this research study, we seek how to extend the previous algorithm when the user requests are arriving in nonstationary fashion.