Feasibility of fog computing

Blesson Varghese; Nan Wang; Dimitrios S. Nikolopoulos; Rajkumar Buyya

doi:10.1007/978-3-030-43795-4_5

Feasibility of fog computing

Blesson Varghese^*, Nan Wang, Dimitrios S. Nikolopoulos, Rajkumar Buyya

^*Corresponding author for this work

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

36 Downloads (Pure)

Abstract

As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the user. This reduces the latency of communication between a user device and the cloud, and is the premise of ‘fog computing’. The aim of this chapter is to highlight the feasibility and the benefits in improving the Quality-of-Service by using fog computing. For an online game use-case, it was found that the average response time for a user is improved by 20% when using the edge of the network in comparison to using a cloud-only model. It was also observed that the volume of traffic between the edge and the cloud server is reduced by over 90% for the use-case. The preliminary results highlight the potential of fog computing in achieving a sustainable computing model and highlights the benefits of integrating the edge of the network into the computing ecosystem. However, more research and a community driven effort is required for meaningfully integrating the edge and the cloud.

Original language	English
Title of host publication	Handbook of integration of cloud computing, cyber physical systems and internet of things
Editors	Rajiv Ranjan, Karan Mitra, Prem Prakash Jayaraman, Lizhe Wang, Albert Y. Zomaya
Publisher	Springer Cham
Pages	127-146
ISBN (Electronic)	9783030437954
ISBN (Print)	9783030437947, 9783030437978
DOIs	https://doi.org/10.1007/978-3-030-43795-4_5
Publication status	Published - 04 Nov 2020

Publication series

Name	Scalable Computing and Communications
ISSN (Print)	2520-8632
ISSN (Electronic)	2364-9496

Access to Document

10.1007/978-3-030-43795-4_5Licence: Unspecified

Feasibility of fog computing
Copyright 2020 Springer Nature Switzerland AG. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 2.73 MBLicence: Unspecified

Resource management for Edge computing systems
Wang, N. (Author), Varghese, B. (Supervisor), Nikolopoulos, D. (Supervisor) & Matthaiou, M. (Supervisor), Jul 2020
Student thesis: Doctoral Thesis › Doctor of Philosophy

File

Cite this

Varghese, B., Wang, N., Nikolopoulos, D. S., & Buyya, R. (2020). Feasibility of fog computing. In R. Ranjan, K. Mitra, P. Prakash Jayaraman, L. Wang, & A. Y. Zomaya (Eds.), Handbook of integration of cloud computing, cyber physical systems and internet of things (pp. 127-146). (Scalable Computing and Communications). Springer Cham. https://doi.org/10.1007/978-3-030-43795-4_5

@inbook{6bd129cd46464d559dfe1084f297e40c,

title = "Feasibility of fog computing",

abstract = "As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the user. This reduces the latency of communication between a user device and the cloud, and is the premise of {\textquoteleft}fog computing{\textquoteright}. The aim of this chapter is to highlight the feasibility and the benefits in improving the Quality-of-Service by using fog computing. For an online game use-case, it was found that the average response time for a user is improved by 20% when using the edge of the network in comparison to using a cloud-only model. It was also observed that the volume of traffic between the edge and the cloud server is reduced by over 90% for the use-case. The preliminary results highlight the potential of fog computing in achieving a sustainable computing model and highlights the benefits of integrating the edge of the network into the computing ecosystem. However, more research and a community driven effort is required for meaningfully integrating the edge and the cloud.",

author = "Blesson Varghese and Nan Wang and Nikolopoulos, {Dimitrios S.} and Rajkumar Buyya",

year = "2020",

month = nov,

day = "4",

doi = "10.1007/978-3-030-43795-4_5",

language = "English",

isbn = "9783030437947",

series = "Scalable Computing and Communications",

publisher = "Springer Cham",

pages = "127--146",

editor = "Rajiv Ranjan and Karan Mitra and {Prakash Jayaraman}, Prem and Lizhe Wang and Zomaya, {Albert Y.}",

booktitle = "Handbook of integration of cloud computing, cyber physical systems and internet of things",

}

Feasibility of fog computing. / Varghese, Blesson; Wang, Nan; Nikolopoulos, Dimitrios S. et al.
Handbook of integration of cloud computing, cyber physical systems and internet of things. ed. / Rajiv Ranjan; Karan Mitra; Prem Prakash Jayaraman; Lizhe Wang; Albert Y. Zomaya. Springer Cham, 2020. p. 127-146 (Scalable Computing and Communications).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Feasibility of fog computing

AU - Varghese, Blesson

AU - Wang, Nan

AU - Nikolopoulos, Dimitrios S.

AU - Buyya, Rajkumar

PY - 2020/11/4

Y1 - 2020/11/4

N2 - As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the user. This reduces the latency of communication between a user device and the cloud, and is the premise of ‘fog computing’. The aim of this chapter is to highlight the feasibility and the benefits in improving the Quality-of-Service by using fog computing. For an online game use-case, it was found that the average response time for a user is improved by 20% when using the edge of the network in comparison to using a cloud-only model. It was also observed that the volume of traffic between the edge and the cloud server is reduced by over 90% for the use-case. The preliminary results highlight the potential of fog computing in achieving a sustainable computing model and highlights the benefits of integrating the edge of the network into the computing ecosystem. However, more research and a community driven effort is required for meaningfully integrating the edge and the cloud.

AB - As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the user. This reduces the latency of communication between a user device and the cloud, and is the premise of ‘fog computing’. The aim of this chapter is to highlight the feasibility and the benefits in improving the Quality-of-Service by using fog computing. For an online game use-case, it was found that the average response time for a user is improved by 20% when using the edge of the network in comparison to using a cloud-only model. It was also observed that the volume of traffic between the edge and the cloud server is reduced by over 90% for the use-case. The preliminary results highlight the potential of fog computing in achieving a sustainable computing model and highlights the benefits of integrating the edge of the network into the computing ecosystem. However, more research and a community driven effort is required for meaningfully integrating the edge and the cloud.

U2 - 10.1007/978-3-030-43795-4_5

DO - 10.1007/978-3-030-43795-4_5

M3 - Chapter (peer-reviewed)

SN - 9783030437947

SN - 9783030437978

T3 - Scalable Computing and Communications

SP - 127

EP - 146

BT - Handbook of integration of cloud computing, cyber physical systems and internet of things

A2 - Ranjan, Rajiv

A2 - Mitra, Karan

A2 - Prakash Jayaraman, Prem

A2 - Wang, Lizhe

A2 - Zomaya, Albert Y.

PB - Springer Cham

ER -

Feasibility of fog computing

Abstract

Publication series

Access to Document

Fingerprint

Student theses

Resource management for Edge computing systems

Cite this