A Novel Local and Global Cooperative Approach for Distributed Mobile Cloud Computing
- 주제(키워드) 도움말 Cloud computing , Resource management , Internet of Things , Games , Mathematical model , Computational modeling , Quality of service , Distributed mobile cloud computing , computation offload , cooperative game theory , coalitional value solutions , cloud resource sharing , fairness
- 발행기관 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행년도 2021
- 총서유형 Journal
- 본문언어 영어
초록/요약 도움말
In the cloud service paradigm, service providers aim to cost-efficiently serve Internet of Things (IoT) devices' applications that often request computation-intensive services. In this study, we focus on the cloud resource sharing problem in the distributed mobile cloud computing (DMCC) platform. By considering different IoT applications and distributed cloud infrastructure, we design a novel DMCC resource sharing scheme for data offloading services. Based on the cooperative game theory, five different value solutions are adopted, and they are implemented for each case cooperative process to provide the fair-efficient solution. According to the service characteristics, our proposed scheme explores the mutual benefits of local and global MCC providers' interactions, and effectively shares the distributed cloud resources. To dynamically adapt the current DMCC system conditions, our approach can provide an appropriate guidance to improve the efficiency of cloud resource usage while enhancing the service quality. The main novelty of our proposed scheme is the ability to leverage a reciprocal consensus between different control viewpoints. Therefore, we can ensure a relevant tradeoff between efficiency and fairness among multiple service providers.
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