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

Document Type

Conference Proceeding

Publication Date

3-1-2018

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.

Identifier

85045576529 (Scopus)

Publication Title

IEEE Transactions on Green Communications and Networking

External Full Text Location

https://doi.org/10.1109/TGCN.2017.2771724

e-ISSN

24732400

First Page

305

Last Page

315

Issue

1

Volume

2

Grant

CNS-1731675

Fund Ref

National Science Foundation

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