Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing

Edge computing (EC) offers cloud-like services at the edge of mobile networks to satisfy the delay-sensitive and rapid computation applications in meeting the demands of rapidly increasing mobile devices and other IoTs. EC is known to be constrained with limited resources that its efficacy greatly d...

Full description

Main Authors: Sharif, Z., Jung, L.T., Razzak, I., Alazab, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29432 /
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114748673&doi=10.1109%2fJIOT.2021.3111838&partnerID=40&md5=f74f1630406d06ad7785ffb2e72dea75
http://eprints.utp.edu.my/29432/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.29432
recordtype eprints
spelling utp-eprints.294322022-03-25T02:06:41Z Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing Sharif, Z. Jung, L.T. Razzak, I. Alazab, M. Edge computing (EC) offers cloud-like services at the edge of mobile networks to satisfy the delay-sensitive and rapid computation applications in meeting the demands of rapidly increasing mobile devices and other IoTs. EC is known to be constrained with limited resources that its efficacy greatly depends on an effective and efficient resource allocation to provide optimal resources utilization. Focusing on the fact, this paper presents an adaptive resource allocation mechanism, abbreviated as A-PBRA, for effective resources utilization in the EC paradigm. To realize optimal utilization, the available resources are allocated dynamically (adaptability) by considering the nature of the incoming requests. The proposed scheme shall adapt to the resource demands and priorities of the incoming requests. After identifying the received request which can be either priority-based or normal request, each of them is processed with three possibilities. The available resources are thus allocated as per the priorities of the incoming requests to satisfy the constraints accordingly. The proposed mechanism is adaptable to a maximum number of incoming requests along with optimizing the utilization of limited resources at the edge node. Extensive simulations were performed through ifogsim to evaluate the performance of the proposed method. Critical comparisons were made against closely related algorithms and techniques i.e., the NBIHA and the CORA-GT. The simulation results from the proposed scheme optimistically showing that it performed better in terms of resources utilization, average response time, task execution time, and energy consumption. IEEE Institute of Electrical and Electronics Engineers Inc. 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114748673&doi=10.1109%2fJIOT.2021.3111838&partnerID=40&md5=f74f1630406d06ad7785ffb2e72dea75 Sharif, Z. and Jung, L.T. and Razzak, I. and Alazab, M. (2021) Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing. IEEE Internet of Things Journal . http://eprints.utp.edu.my/29432/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Edge computing (EC) offers cloud-like services at the edge of mobile networks to satisfy the delay-sensitive and rapid computation applications in meeting the demands of rapidly increasing mobile devices and other IoTs. EC is known to be constrained with limited resources that its efficacy greatly depends on an effective and efficient resource allocation to provide optimal resources utilization. Focusing on the fact, this paper presents an adaptive resource allocation mechanism, abbreviated as A-PBRA, for effective resources utilization in the EC paradigm. To realize optimal utilization, the available resources are allocated dynamically (adaptability) by considering the nature of the incoming requests. The proposed scheme shall adapt to the resource demands and priorities of the incoming requests. After identifying the received request which can be either priority-based or normal request, each of them is processed with three possibilities. The available resources are thus allocated as per the priorities of the incoming requests to satisfy the constraints accordingly. The proposed mechanism is adaptable to a maximum number of incoming requests along with optimizing the utilization of limited resources at the edge node. Extensive simulations were performed through ifogsim to evaluate the performance of the proposed method. Critical comparisons were made against closely related algorithms and techniques i.e., the NBIHA and the CORA-GT. The simulation results from the proposed scheme optimistically showing that it performed better in terms of resources utilization, average response time, task execution time, and energy consumption. IEEE
format Article
author Sharif, Z.
Jung, L.T.
Razzak, I.
Alazab, M.
spellingShingle Sharif, Z.
Jung, L.T.
Razzak, I.
Alazab, M.
Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing
author_sort Sharif, Z.
title Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing
title_short Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing
title_full Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing
title_fullStr Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing
title_full_unstemmed Adaptive and Priority-based Resource Allocation for Efficient Resources Utilization in Mobile Edge Computing
title_sort adaptive and priority-based resource allocation for efficient resources utilization in mobile edge computing
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114748673&doi=10.1109%2fJIOT.2021.3111838&partnerID=40&md5=f74f1630406d06ad7785ffb2e72dea75
http://eprints.utp.edu.my/29432/
_version_ 1741197240806932480
score 11.62408

Similar Items