14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Research Article

A Group-based Fault Tolerant Mechanism for Heterogeneous Mobile Clouds

  • @INPROCEEDINGS{10.4108/eai.7-11-2017.2273505,
        author={Bowen Zhou and Rajkumar Buyya},
        title={A Group-based Fault Tolerant Mechanism for Heterogeneous Mobile Clouds},
        proceedings={14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},
        publisher={ACM},
        proceedings_a={MOBIQUITOUS},
        year={2018},
        month={4},
        keywords={mobile cloud computing fault tolerance code offloading},
        doi={10.4108/eai.7-11-2017.2273505}
    }
    
  • Bowen Zhou
    Rajkumar Buyya
    Year: 2018
    A Group-based Fault Tolerant Mechanism for Heterogeneous Mobile Clouds
    MOBIQUITOUS
    ACM
    DOI: 10.4108/eai.7-11-2017.2273505
Bowen Zhou1,*, Rajkumar Buyya1
  • 1: University of Melbourne, Australia
*Contact email: bowenz@student.unimelb.edu.au

Abstract

Recent developments of the enhanced hardware on mobile devices such as quad-core CPUs and various sensors have made it possible to build a powerful heterogeneous mobile cloud offloading service that consists of a mobile ad-hoc cloud, nearby servers and public cloud services. However, the availability and mobility management of mobile devices in the network can significantly hinder the performance of mobile cloud systems due to the frequent system faults caused by dynamic changes, and prevent applications from offloading to mobile ad-hoc networks. In order to improve the mobile cloud service reliability, we propose a group based fault tolerant mechanism GFT-mCloud that classifies mobile devices into groups based on its processing capacity, mobility, and reliability. Different fault tolerance techniques are then devised adaptively based on the task offloading schedules and the specific group of machines it's offloaded. GFT-mCloud is designed as a standalone module that can work with existing mobile cloud code offloading systems. Extensive experiments have been conducted to evaluate the proposed mechanism. The results show that our fault tolerant mechanism is able to outperform conventional fault tolerant algorithms in the mobile cloud offloading environment.