A Novel Local and Global Cooperative Approach for Distributed Mobile Cloud Computing

Sungwook Kim

doi:10.1109/access.2021.3105060

Abstract

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.

Highlights

Due to extensive growth in the number of Internet-ofThings (IoT) devices, six generation (6G) communication systems aim to achieve high spectral and energy efficiency, low latency, and massive connectivity
● We investigate the ideas of CIS, α-CIS, ENSC, ENPAC and ENBC values to design our cloud resource sharing algorithm
To address the interoperability issues of multiple service providers (SPs) in the distributed mobile cloud computing (DMCC) platform, this paper considers coalition based cooperative game models to support different type cloud services

Summary

INTRODUCTION

Due to extensive growth in the number of Internet-ofThings (IoT) devices, six generation (6G) communication systems aim to achieve high spectral and energy efficiency, low latency, and massive connectivity. This approach has developed a new distributed MCC (DMCC) infrastructure. In the local phase cooperation method, the local coalition of different SPs is formed and work together to share the cloud resources in the same local area. By considering different IoT applications and distributed cloud infrastructure, we design a novel twophase cooperative game model, which can be axiomatically characterized but which is constructive based on the DMCC infrastructure. In the local level process, the different SPs’ resources in each base station (BS) are shared according to the ideas of CIS, α-CIS and ENSC values. In the global level process, a SP’s cloud resources, which are geographically distributed, are shared based on the concepts of ENPAC and ENBC values.

Methods

THE PROPOSED DMCC RESOURCE SHARING SCHEME

The basic idea and fundamental concept of value solutions

PERFORMANCE EVALUATION

Findings

SUMMARY AND CONCLUSIONS