A New Adaptive Data Center Resource Provisioning Scheme Based on the Dual-Level Cooperative Game Approach
Author(s) -
Sungwook Kim
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2870132
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
With the popularity of 5G network technology, cloud computing paradigm in data center (DC) networks has drawn increased attention. DC is a pool of computational and storage resources interconnected using a communication network. To handle the growing demands of cloud computing services, resources in DC should be used efficiently. In this paper, we design a new DC resource provisioning scheme based on the cooperative game theory. Using the matching game model and Mood value, we propose new resource allocation algorithms, which attempt to equalize users' satisfactions with respect to an effective distribution of the DC resource. Due to the competitive and coordinative DC environments, our proposed game approach can adaptively respond to the current cloud computing service requests. The main novelty possessed by our resource provisioning scheme is to capture the dynamics of DC network operations with the consideration of efficiency and fairness. Finally, we show the advantages of our proposed scheme through computer simulations. Comparing with other existing protocols, performance evaluations demonstrate that our game-based approach can outperform the existing state-of-the-art methods in terms of DC resource usability, service success ratio and fairness. In addition, we provide the guidance on the future research direction including other issues.
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