Energy-Aware Virtual Machine Management in Inter-Datacenter Networks over Elastic Optical Infrastructure

Liang Zhang, Tao Han, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Datacenters (DCs), deployed in a large scale to support the ever increasing demand for data processing applications, consume tremendous energy. Powering DCs with renewable energy can effectively reduce the brown energy consumption. Owing to geographically distributed deployment of DCs, the renewable energy generation and the data processing demands usually vary in different DCs. Migrating virtual machines (VMs) among DCs according to the availability of renewable energy helps match the energy demands and the renewable energy generation in DCs, and thus maximizes the utilization of renewable energy. We first elicit the renewable energy-aware inter-DC (inter-DC) VM migration problem in an inter-DC network over the elastic optical infrastructure, present it as a many-manycast communications problem, and then formulate it as an integer linear programming problem. The objective is to minimize the total cost of the brown energy consumption of DCs in such inter-DC network via VM migration. We use CVX and Gurobi to solve this problem for small network configurations, and we propose a few heuristic algorithms that approximate the optimal solution for large network configurations. Through extensive simulations, we show that the proposed algorithms, by migrating VM among DCs, can reduce up to 19.7% cost of the brown energy consumption.

Original languageEnglish (US)
Pages (from-to)305-315
Number of pages11
JournalIEEE Transactions on Green Communications and Networking
Volume2
Issue number1
DOIs
StatePublished - Mar 2018

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Computer Networks and Communications

Keywords

  • Anycast
  • cloud computing
  • elastic optical networks
  • renewable energy

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