  This paper aims at maximizing the profit associated with running
geographically dispersed green data centers, which offer multiple classes of
service. To this end, we formulate an optimization framework which relies on
the accuracy of the G/D/1 queue in characterizing the workload distribution,
and taps on the merits of the workload decomposition into green and brown
workload served by green and brown energy resources. Moreover, we take into
account of not only the Service Level Agreements (SLAs) between the data
centers and clients but also different deregulated electricity markets of data
centers located at different regions. We prove the convexity of our
optimization problem and the performance of the proposed workload distribution
strategy is evaluated via simulations.
