Datacenters (DCs), deployed in a large scale to support the ever increasingdemand for data processing applications, consume tremendous energy. PoweringDCs with renewable energy can effectively reduce the brown energy consumption.Owing to geographically distributed deployment of DCs, the renewable energygeneration and the data processing demands usually vary in different DCs.Migrating virtual machines (VMs) among DCs according to the availability ofrenewable energy helps match the energy demands and the renewable energygeneration in DCs, and thus maximizes the utilization of renewable energy. Wefirst elicit the renewable energy-aware inter-datacenter (inter-DC) VMmigration problem in an inter-DC network over the elastic opticalinfrastructure, present it as a many-manycast communications problem, and thenformulate it as an integer linear programming problem. The objective is tominimize the total cost of the brown energy consumption of DCs in such inter-DCnetwork via VM migration. We use CVX and Gurobi to solve this problem for smallnetwork configurations, and we propose a few heuristic algorithms thatapproximate the optimal solution for large network configurations. Throughextensive simulations, we show that the proposed algorithms, by migrating VMamong DCs, can reduce up to 19.7% cost of the brown energy consumption.
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