Abstract
Recently, data centers (DCs) have become an indispensable part of modern computing infrastructures. However, DCs often consume a significant amount of energy and lead to the workload unbalance with increasing service requests. Keeping focus on this point, in this paper, we propose a novel energy-aware DC management scheme. To design an efficient DC control algorithm, the main challenge is uncertainties such as uncertain energy price and unpredictable users’ demands. In response to these uncertainties, we adopt the idea of cooperative game theory, and introduce a new two-phase bargaining model to get the mutual advantage. To decide the energy price, we formulate the Stackelberg bargaining game while adapting the current system situation. To balance the workloads among DCs, the migration bargaining game is developed. These two game models are tightly coupled to achieve greater and reciprocal advantages during dynamic DC operations. The main novelty of our proposed two-phase bargaining approach is to handle comprehensively contradictory requirements for the DC management. Finally, extensive experiment results validate the efficiency of our proposed algorithm by comparing with the existing state-of-the-art DC management protocols in terms of average payoff of all DCs, system throughput and fairness among DCs.
Highlights
Data center (DC) has emerged as one of the leading ICTbased infrastructures for providing on-demand services to the end users
Our proposed method is significantly superior to the quality of service (QoS)-Efficient DC Management (QEDCM), Fair Cost DC Control (FCDCC) and Cooperative Virtual Machine Control and Management (CVMCM) schemes; we can achieve an average of 10% higher system throughput than other existing methods
By analyzing the strategic relationship between smart grid (SG) and DC, we adopt the concept of cooperative game, and formulate a novel two-phase bargaining model based on the idea of Raiffa-Kalai-Smorodinsky bargaining solution (RKSBS) and modified Thomson bargaining solution (MTBS)
Summary
Data center (DC) has emerged as one of the leading ICTbased infrastructures for providing on-demand services to the end users. Kim: Adaptive DC Management Algorithm Based on the Cooperative Game Approach the SG has become one of the most powerful technologies of the modern era It forms an intelligent web of distributed generation, transmission, delivery, and storage of energy with an inclusion of information and communication technologies [2], [3]. DCs in different locations can take advantage of dynamic pricing policy to develop an efficient DC management algorithm that adaptively re-distributes the workload among DCs in multiple locations. In this way, the key idea is to constantly monitor the energy prices of different region DCs and may shift the workloads toward DCs to minimize the total electric cost.
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