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Symmetry 2019, 11(2), 167;

Reliability Enhancement of Edge Computing Paradigm Using Agreement

Department of Information Management, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng, Taichung 41349, Taiwan
Department of International Business, Feng Chia University, 100, Wenhwa Rd., Seatwen, Taichung 40724, Taiwan
Author to whom correspondence should be addressed.
Received: 8 January 2019 / Revised: 25 January 2019 / Accepted: 29 January 2019 / Published: 1 February 2019
(This article belongs to the Special Issue Information Technology and Its Applications 2018)
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Driven by the vision of the Internet of Things (IoT), there has been a dramatic shift in mobile computing in recent years from centralized mobile cloud computing (MCC) to mobile edge computing (MEC). The main features of MECs are to promote mobile computing, network control, and storage to the edge of the network in order to achieve computationally intensive and latency-critical applications on resource-constrained mobile devices. Therefore, MEC is proposed to enable computing directly at the edge of the network, which can deliver new applications and services, especially for the IoT. In order to provide a highly flexible and reliable platform for the IoT, a MEC-based IoT platform (MIoT) is proposed in this study. Through the MIoT, the information asymmetrical symmetry between the consumer and producer can be reduced to a certain extent. Because of the IoT platform, fault tolerance is an important research topic. In order to deal with the impact of a faulty component, it is important to reach an agreement in the event of a failure before performing certain special tasks. For example, the initial time of all devices and the time stamp of all applications should be the same in a smart city before further processing. However, previous protocols for distributed computing were not sufficient for MIoT. Therefore, in this study, a new polynomial time and optimal algorithm is proposed to revisit the agreement problem. The algorithm makes all fault-free nodes decide on the same initial value with minimal rounds of message exchanges and tolerate the maximal number of allowable faulty components in the MIoT. View Full-Text
Keywords: Internet of Things; mobile edge computing; cloud computing; consensus problem; interactive consistency problem Internet of Things; mobile edge computing; cloud computing; consensus problem; interactive consistency problem

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Wang, S.-C.; Hsiung, W.-S.; Hsieh, C.-F.; Tsai, Y.-T. Reliability Enhancement of Edge Computing Paradigm Using Agreement. Symmetry 2019, 11, 167.

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