Can I read ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets on EtoBox?

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets by Ali Pahlevan; Marina Zapater; Ayse K. Coskun; David Atienza is a Computer Science article available to read on EtoBox.

What is ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets about?

Modern datacenters need to tackle efficiently the increasing demand for computing resources while minimizing energy usage and monetary costs. Power market operators have recently introduced emerging demand-response programs, in which electricity consumers regulate their power usage following provider requests to reduce monetary costs. Among different programs, regulation service (RS) reserves are particularly promising for datacenters due to the high credit gain possibilities and datacenters' flexibility in regulating their power consumption. Therefore, it is essential to develop bidding strategies for datacenters to participate in emerging power markets together with power management policies that are aware of power market requirements at runtime. In this paper we propose ECOGreen, a holistic strategy to jointly optimize the datacenter RS problem and virtual machine (VM) allocation that satisfies the hour-ahead power market constraints in the presence of electrical energy storage (EES) and renewable energy. We first find the best power and reserve bidding values as well as the number of active servers in a fast analytical way that works well in practice. Then, we present an online

Who reads ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets?

Author

Ali Pahlevan; Marina Zapater; Ayse K. Coskun; David Atienza

Publisher

Institute of Electrical and Electronics Engineers; Institute of Electrical and Electronics Engineers (IEEE) (ISSN 2377-3782)

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)