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Fog Orchestration and Simulation for IoT Services

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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Fog Orchestration and Simulation for IoT Services. / Yang, Renyu; Wen, Zhenyu; McKee, David et al.
Fog and Fogonomics: Challenges and Practices of Fog Computing, Networking, Strategy, and Economics. ed. / Yang Yang; Jianwei Huang; Tao Zhang; Joe Weinman. Wiley, 2020. p. 179-212.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Yang, R, Wen, Z, McKee, D, Lin, T, Xu, J & Garraghan, P 2020, Fog Orchestration and Simulation for IoT Services. in Y Yang, J Huang, T Zhang & J Weinman (eds), Fog and Fogonomics: Challenges and Practices of Fog Computing, Networking, Strategy, and Economics. Wiley, pp. 179-212. <https://www.wiley.com/en-gb/Fog+and+Fogonomics:+Challenges+and+Practices+of+Fog+Computing,+Communication,+Networking,+Strategy,+and+Economics-p-9781119501091>

APA

Yang, R., Wen, Z., McKee, D., Lin, T., Xu, J., & Garraghan, P. (2020). Fog Orchestration and Simulation for IoT Services. In Y. Yang, J. Huang, T. Zhang, & J. Weinman (Eds.), Fog and Fogonomics: Challenges and Practices of Fog Computing, Networking, Strategy, and Economics (pp. 179-212). Wiley. https://www.wiley.com/en-gb/Fog+and+Fogonomics:+Challenges+and+Practices+of+Fog+Computing,+Communication,+Networking,+Strategy,+and+Economics-p-9781119501091

Vancouver

Yang R, Wen Z, McKee D, Lin T, Xu J, Garraghan P. Fog Orchestration and Simulation for IoT Services. In Yang Y, Huang J, Zhang T, Weinman J, editors, Fog and Fogonomics: Challenges and Practices of Fog Computing, Networking, Strategy, and Economics. Wiley. 2020. p. 179-212

Author

Yang, Renyu ; Wen, Zhenyu ; McKee, David et al. / Fog Orchestration and Simulation for IoT Services. Fog and Fogonomics: Challenges and Practices of Fog Computing, Networking, Strategy, and Economics. editor / Yang Yang ; Jianwei Huang ; Tao Zhang ; Joe Weinman. Wiley, 2020. pp. 179-212

Bibtex

@inbook{9c434213a47d45b486ebc9c416d132d0,
title = "Fog Orchestration and Simulation for IoT Services",
abstract = "The Internet of Things (IoT) interconnects physical objects including sensors, vehicles, and buildings into a virtual circumstance, resulting in the increasing integration of Cyber-physical objects. The Fog computing paradigm extends both computation and storage services in Cloud computing environment to the network edge. Typically, IoT services comprise of a set of software components running over different locations connected through datacenter or wireless sensor networks. It is significantly important and cost-effective to orchestrate and deploy a group of microservices onto Fog appliances such as edge devices or Cloud servers for the formation of such IoT services. In this chapter, we discuss the challenges of realizing Fog orchestration for IoT services, and present a software-defined orchestration architecture and simulation solutions to intelligently compose and orchestrate thousands of heterogeneous Fog appliances. The resource provisioning, component placement and runtime QoS control in the orchestration procedure can harness workload dynamicity, network uncertainty and security demands whilst considering different applications{\textquoteright} requirement and appliances{\textquoteright} capabilities. Our practical experiences show that the proposed parallelized orchestrator can reduce the execution time by 50% with at least 30% higher orchestration quality. We believe that our solution plays an important role in the current Fog ecosystem.",
author = "Renyu Yang and Zhenyu Wen and David McKee and Tao Lin and Jie Xu and Peter Garraghan",
year = "2020",
month = mar,
day = "1",
language = "English",
isbn = "1119501091",
pages = "179--212",
editor = "Yang Yang and Jianwei Huang and Tao Zhang and Joe Weinman",
booktitle = "Fog and Fogonomics",
publisher = "Wiley",

}

RIS

TY - CHAP

T1 - Fog Orchestration and Simulation for IoT Services

AU - Yang, Renyu

AU - Wen, Zhenyu

AU - McKee, David

AU - Lin, Tao

AU - Xu, Jie

AU - Garraghan, Peter

PY - 2020/3/1

Y1 - 2020/3/1

N2 - The Internet of Things (IoT) interconnects physical objects including sensors, vehicles, and buildings into a virtual circumstance, resulting in the increasing integration of Cyber-physical objects. The Fog computing paradigm extends both computation and storage services in Cloud computing environment to the network edge. Typically, IoT services comprise of a set of software components running over different locations connected through datacenter or wireless sensor networks. It is significantly important and cost-effective to orchestrate and deploy a group of microservices onto Fog appliances such as edge devices or Cloud servers for the formation of such IoT services. In this chapter, we discuss the challenges of realizing Fog orchestration for IoT services, and present a software-defined orchestration architecture and simulation solutions to intelligently compose and orchestrate thousands of heterogeneous Fog appliances. The resource provisioning, component placement and runtime QoS control in the orchestration procedure can harness workload dynamicity, network uncertainty and security demands whilst considering different applications’ requirement and appliances’ capabilities. Our practical experiences show that the proposed parallelized orchestrator can reduce the execution time by 50% with at least 30% higher orchestration quality. We believe that our solution plays an important role in the current Fog ecosystem.

AB - The Internet of Things (IoT) interconnects physical objects including sensors, vehicles, and buildings into a virtual circumstance, resulting in the increasing integration of Cyber-physical objects. The Fog computing paradigm extends both computation and storage services in Cloud computing environment to the network edge. Typically, IoT services comprise of a set of software components running over different locations connected through datacenter or wireless sensor networks. It is significantly important and cost-effective to orchestrate and deploy a group of microservices onto Fog appliances such as edge devices or Cloud servers for the formation of such IoT services. In this chapter, we discuss the challenges of realizing Fog orchestration for IoT services, and present a software-defined orchestration architecture and simulation solutions to intelligently compose and orchestrate thousands of heterogeneous Fog appliances. The resource provisioning, component placement and runtime QoS control in the orchestration procedure can harness workload dynamicity, network uncertainty and security demands whilst considering different applications’ requirement and appliances’ capabilities. Our practical experiences show that the proposed parallelized orchestrator can reduce the execution time by 50% with at least 30% higher orchestration quality. We believe that our solution plays an important role in the current Fog ecosystem.

M3 - Chapter

SN - 1119501091

SN - 9781119501091

SP - 179

EP - 212

BT - Fog and Fogonomics

A2 - Yang, Yang

A2 - Huang, Jianwei

A2 - Zhang, Tao

A2 - Weinman, Joe

PB - Wiley

ER -