Planning Fog networks for time-critical IoT requests
The massive growth of the Internet of Things (IoT) applications and the challenges of Cloud computing have increased the importance of Fog networks for timely processing the requests from delay-sensitive applications. A Fog network provides local aggregation, analysis, and processing of IoT requests...
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Format: | Article |
Language: | English English |
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Elsevier
2021
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Online Access: | https://eprints.ums.edu.my/id/eprint/32570/1/Planning%20Fog%20networks%20for%20time-critical%20IoT%20requests%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32570/3/Planning%20Fog%20networks%20for%20time-critical%20IoT%20requests.pdf |
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author | Ume Kalsoom Saba Saif ul Islam Humaira Ijaz Rodrigues, Joel J.P.C. Abdullah Gani Kashif Munir |
author_facet | Ume Kalsoom Saba Saif ul Islam Humaira Ijaz Rodrigues, Joel J.P.C. Abdullah Gani Kashif Munir |
author_sort | Ume Kalsoom Saba |
collection | UMS |
description | The massive growth of the Internet of Things (IoT) applications and the challenges of Cloud computing have increased the importance of Fog networks for timely processing the requests from delay-sensitive applications. A Fog network provides local aggregation, analysis, and processing of IoT requests that may or may not be time-critical. One of the major issues of Fog is its capacity planning considering the traffic load of time-critical requests. The response time can be huge if a time-critical request is processed on Cloud. The response time of a time-critical request can be big on the Fog layer if it is not prioritized. Hence, there is a need to handle the time-critical traffic on a priority basis at the Fog layer. In this paper, a priority queuing model with preemption has been proposed considering the mixed types of requests at the Fog layer. The proposed approach determines the required number of Fog nodes in order to satisfy the desired Quality of Service (QoS) requirements of IoT requests. The proposed mechanism is evaluated through simulations using the iFogSim simulator. The work can be used in the capacity planning of Fog networks. |
first_indexed | 2024-03-06T03:15:56Z |
format | Article |
id | ums.eprints-32570 |
institution | Universiti Malaysia Sabah |
language | English English |
last_indexed | 2024-03-06T03:15:56Z |
publishDate | 2021 |
publisher | Elsevier |
record_format | dspace |
spelling | ums.eprints-325702022-05-18T03:55:54Z https://eprints.ums.edu.my/id/eprint/32570/ Planning Fog networks for time-critical IoT requests Ume Kalsoom Saba Saif ul Islam Humaira Ijaz Rodrigues, Joel J.P.C. Abdullah Gani Kashif Munir TK1-9971 Electrical engineering. Electronics. Nuclear engineering The massive growth of the Internet of Things (IoT) applications and the challenges of Cloud computing have increased the importance of Fog networks for timely processing the requests from delay-sensitive applications. A Fog network provides local aggregation, analysis, and processing of IoT requests that may or may not be time-critical. One of the major issues of Fog is its capacity planning considering the traffic load of time-critical requests. The response time can be huge if a time-critical request is processed on Cloud. The response time of a time-critical request can be big on the Fog layer if it is not prioritized. Hence, there is a need to handle the time-critical traffic on a priority basis at the Fog layer. In this paper, a priority queuing model with preemption has been proposed considering the mixed types of requests at the Fog layer. The proposed approach determines the required number of Fog nodes in order to satisfy the desired Quality of Service (QoS) requirements of IoT requests. The proposed mechanism is evaluated through simulations using the iFogSim simulator. The work can be used in the capacity planning of Fog networks. Elsevier 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32570/1/Planning%20Fog%20networks%20for%20time-critical%20IoT%20requests%20_ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/32570/3/Planning%20Fog%20networks%20for%20time-critical%20IoT%20requests.pdf Ume Kalsoom Saba and Saif ul Islam and Humaira Ijaz and Rodrigues, Joel J.P.C. and Abdullah Gani and Kashif Munir (2021) Planning Fog networks for time-critical IoT requests. Computer Communications, 172. pp. 75-83. ISSN 0140-3664 https://www.sciencedirect.com/science/article/pii/S0140366421000979?casa_token=5hsr1hiXUZkAAAAA:T4d4G71ZVO92B1uxXegM_CSi3WcWganizpPIrCo6sWZ2_pISyy3_-0zSGCB7d6VuSN-VwGTaiLGA http://dx.doi.org/10.1016/j.comcom.2021.03.002 http://dx.doi.org/10.1016/j.comcom.2021.03.002 |
spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Ume Kalsoom Saba Saif ul Islam Humaira Ijaz Rodrigues, Joel J.P.C. Abdullah Gani Kashif Munir Planning Fog networks for time-critical IoT requests |
title | Planning Fog networks for time-critical IoT requests |
title_full | Planning Fog networks for time-critical IoT requests |
title_fullStr | Planning Fog networks for time-critical IoT requests |
title_full_unstemmed | Planning Fog networks for time-critical IoT requests |
title_short | Planning Fog networks for time-critical IoT requests |
title_sort | planning fog networks for time critical iot requests |
topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
url | https://eprints.ums.edu.my/id/eprint/32570/1/Planning%20Fog%20networks%20for%20time-critical%20IoT%20requests%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32570/3/Planning%20Fog%20networks%20for%20time-critical%20IoT%20requests.pdf |
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