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Dynamic Task Scheduler for Real Time Requirement in Cloud Computing System Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Reputation Model for Third-Party Service Providers in Fog as a Service

Authors : Nanxi Chen, Xiaobo Xu, Xuzhi Miao

Published in: Algorithms and Architectures for Parallel Processing

Publisher: Springer International Publishing

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Abstract

Fog computing, as a mode of distributing computing resources, can process data directly at the network edge so becomes a promising solution towards the Internet of Things (IoT). To support various IoT services, many third-party fog resources providers participate in the service provisioning process, which accelerates the development of Fog as a Service (FaaS). Current solutions assume the existence of a reliable entity to maintain run-time information about such third-party fog resources providers, which is not feasible because of resource constraints at the network edge. To be aware of the dynamic availability of the fog resources, this paper proposes a graph-based decentralized reputation model for service provisioning in fog computing environment. This mechanism includes a verification model between fog nodes and a consensus mechanism for composite transactions in FaaS. This paper evaluates the proposed solution and proves its feasibility through the experimental result.

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previous chapter Privacy-Aware Data Collection and Aggregation in IoT Enabled Fog Computing
next chapter Attribute-Based VLR Group Signature Scheme from Lattices
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Metadata
Title
A Reputation Model for Third-Party Service Providers in Fog as a Service
Authors
Nanxi Chen
Xiaobo Xu
Xuzhi Miao
Copyright Year
2018
Book
Algorithms and Architectures for Parallel Processing

Print ISBN: 978-3-030-05062-7

Electronic ISBN: 978-3-030-05063-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-05063-4_45

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