1 research outputs found
On Coordination of Smart Grid and Cooperative Cloud Providers
Cooperative cloud providers in the form of cloud federations can potentially
reduce their energy costs by exploiting electricity price fluctuations across
different locations. In this environment, on the one hand, the electricity
price has a significant influence on the federations formed, and, thus, on the
profit earned by the cloud providers, and on the other hand, the cloud
cooperation has an inevitable impact on the performance of the smart grid. In
this regard, the interaction between independent cloud providers and the smart
grid is modeled as a two-stage Stackelberg game interleaved with a coalitional
game in this paper. In this game, in the first stage the smart grid, as a
leader chooses a proper electricity pricing mechanism to maximize its own
profit. In the second stage, cloud providers cooperatively manage their
workload to minimize their electricity costs. Given the dynamic of cloud
providers in the federation formation process, an optimization model based on a
constrained Markov decision process (CMDP) has been used by the smart grid to
achieve the optimal policy. Numerical results show that the proposed solution
yields around 28% and 29% profit improvement on average for the smart grid, and
the cloud providers, respectively, compared to the noncooperative schem