Yang, R, Wen, Z, Mckee, D et al. (3 more authors) (2020) Software-Defined Fog Orchestration for IoT Services. In: Yang, Y, Huang, J, Zhang, T and Weinman, J, (eds.) Fog and Fogonomics: Challenges and Practices of Fog Computing, Communication, Networking, Strategy, and Economics. John Wiley & Sons , USA , pp. 179-212. ISBN 9781119501091
Abstract
This chapter presents a scalable software‐defined orchestration architecture to intelligently compose and orchestrate thousands of heterogeneous Fog appliances (devices, servers). Specifically, it provides a resource filtering‐based resource assignment mechanism to optimize the resource utilization and fair resource sharing among multitenant Internet of things (IoT) applications. The chapter also presents a component selection and placement mechanism for containerized IoT microservices to minimize the latency by harnessing the network uncertainty and security while considering different applications’ requirement and capabilities. It describes a fog simulation scheme to simulate the aforementioned procedure by modeling the entities, their attributes, and actions. The chapter also provides the results of practical experiences on the orchestration and simulation. It outlines numerous difficulties and challenges to develop an orchestration framework across all layers within the Fog resource stack and describes a prototype orchestration system that makes use of some of the most promising mechanisms to tackle these challenges.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Keywords: | fair resource sharing; fog simulation scheme; heterogeneous fog appliances; Internet of things services; placement mechanism; prototype orchestration system; resource filtering‐based resource assignment mechanism; software‐defined fog orchestration |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Oct 2020 14:59 |
Last Modified: | 30 Oct 2020 14:59 |
Status: | Published |
Publisher: | John Wiley & Sons |
Identification Number: | 10.1002/9781119501121.ch8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167427 |