Heuristic edge server placement in Industrial Internet of Things and cellular networks

Article

Kasi, S., Kasi, M., Ali, K., Raza, M., Afzal, H., Lasebae, A., Naeem, B., Islam, S. and Rodrigues, J. 2021. Heuristic edge server placement in Industrial Internet of Things and cellular networks. IEEE Internet of Things Journal. 8 (13), pp. 10308-10317. https://doi.org/10.1109/JIOT.2020.3041805
TypeArticle
TitleHeuristic edge server placement in Industrial Internet of Things and cellular networks
AuthorsKasi, S., Kasi, M., Ali, K., Raza, M., Afzal, H., Lasebae, A., Naeem, B., Islam, S. and Rodrigues, J.
Abstract

Rapid developments in industry 4.0, machine learning, and digital twins have introduced new latency, reliability, and processing restrictions in Industrial Internet of Things (IIoT) and mobile devices. However, using current Information and Communications Technology (ICT), it is difficult to optimally provide services that require high computing power and low latency. To meet these requirements, mobile edge computing is emerging as a ubiquitous computing paradigm that enables the use of network infrastructure components such as cluster heads/sink nodes in IIoT and cellular network base stations to provide local data storage and computation servers at the edge of the network. However, optimal location selection for edge servers within a network out of a very large number of possibilities, such as to balance workload and minimize access delay is a challenging problem. In this paper, the edge server placement problem is addressed within an existing network infrastructure obtained from Shanghai Telecom’s base station the dataset that includes a significant amount of call data records and locations of actual base stations. The problem of edge server placement is formulated as a multi-objective constraint optimization problem that places edge servers strategically to the balance between the workloads of edge servers and reduce access delay between the industrial control center/cellular base-stations and edge servers. To search randomly through a large number of possible solutions and selecting those that are most descriptive of optimal solution can be a very time-consuming process, therefore, we apply the genetic algorithm and local search algorithms (hillclimbing and simulated annealing) to find the best solution in the least number of solution space explorations. Experimental results are obtained to compare the performance of the genetic algorithm against the above-mentioned local search algorithms. The results show that the genetic algorithm can quickly search through the large solution space as compared to local search optimization algorithms to find an edge placement strategy that minimizes the cost function

KeywordsServers; Cloud computing; Optimization; Base stations; Genetic algorithms; Edge computing; Delays; Data mining; edge server placement; genetic search; Industrial Internet of Things (IIoT); mobile-edge computing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
JournalIEEE Internet of Things Journal
ISSN2327-4662
Publication dates
Online01 Dec 2020
Print01 Jul 2021
Publication process dates
Deposited23 Oct 2020
Accepted21 Oct 2020
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/JIOT.2020.3041805
Web of Science identifierWOS:000665207100009
LanguageEnglish
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M-Sieve: a visualisation tool for supporting network security analysts
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A formally verified AKA protocol for vertical handover inheterogeneous environments using Casper/FDR
Aiash, M., Mapp, G., Lasebae, A., Phan, R. and Loo, J. 2012. A formally verified AKA protocol for vertical handover inheterogeneous environments using Casper/FDR. EURASIP Journal on Wireless Communications and Networking. 2012 (57). https://doi.org/10.1186/1687-1499-2012-57
Stream bundle management layer for optimum management of co-existing telemedicine traffic streams under varying channel conditions in heterogeneous networks.
Shaikh, F., Lasebae, A., Mapp, G. and Middlesex University 2005. Stream bundle management layer for optimum management of co-existing telemedicine traffic streams under varying channel conditions in heterogeneous networks. MIT 2005. China
Proactive policy management for heterogeneous networks
Shaikh, F., Lasebae, A., Mapp, G. and Middlesex University 2008. Proactive policy management for heterogeneous networks. 3rd International Conference on Information and Communication Technologies: from Theory to Applications (ICTTA 2008). Umayyad Palace, Damascus, Syria 07 - 11 Apr 2008
Client-based SBM layer for predictive management of traffic flows in heterogeneous networks
Shaikh, F., Lasebae, A., Mapp, G. and Middlesex University 2006. Client-based SBM layer for predictive management of traffic flows in heterogeneous networks. 2nd IEEE International Conference on Information and Communication Technologies: from Theory to Applications (ICTTA 2006). Damascus, Syria 24 - 28 Apr 2006
A survey of network coverage prediction mechanisms in 4G heterogeneous wireless networks.
Shaikh, F., Mapp, G., Lasebae, A., British Institute of Technology and e-Commerce and Middlesex University 2011. A survey of network coverage prediction mechanisms in 4G heterogeneous wireless networks. First Global Conference on Communication, Science and Information Engineering (CCSIE 2011). Middlesex University 25 - 27 Jul 2011
Exploring the concept of scope to provide better security for internet services.
Aiash, M., Mapp, G., Lasebae, A., Phan, R., Middlesex University and Loughborough University 2011. Exploring the concept of scope to provide better security for internet services. First Global Conference on Communication, Science and Engineering (CCSIE 2011). Middlesex University 25 - 27 Jul 2011
Enhancing naming and location services to support multi-homed devices in heterogeneous environments
Aiash, M., Mapp, G., Lasebae, A., Phan, R., Augusto, M., Vanni, R., Moreira, E., Middlesex University, Loughborough University and University of Sao Paulo 2011. Enhancing naming and location services to support multi-homed devices in heterogeneous environments. First Conference on Communication, Science and Information Enginneering (CCSIE 2011). Middlesex University 25 - 27 Jul 2011
Proactive policy management using TBVH mechanism in heterogeneous networks.
Shaikh, F., Mapp, G., Lasebae, A. and Middlesex University 2007. Proactive policy management using TBVH mechanism in heterogeneous networks. Proceedings of the International Conference and Exhibition on 'Next Generation Mobile Application, Services and Technologies' (NGMAST 2007). Cardiff, Wales 12 - 14 Sep 2007
A QoS framework for heterogeneous networking
Aiash, M., Mapp, G., Lasebae, A., Augusto, M., Vanni, R. and Moreira, E. 2011. A QoS framework for heterogeneous networking. ICWN'11: The 2011 International Conference of Wireless Networks (held as part of WCE 2011). London, UK 06 - 08 Jul 2011
Investigation of a mechatronic device for the remedial treatment of brain injured children.
Lasebae, A. 1999. Investigation of a mechatronic device for the remedial treatment of brain injured children. PhD thesis Middlesex University School of Engineering Systems
Providing security in 4G systems: unveiling the challenges
Aiash, M., Mapp, G., Lasebae, A., Phan, R., Middlesex University and Loughborough University 2010. Providing security in 4G systems: unveiling the challenges. Atmaca, T., Palicot, J., Amor, N., Tsiatsos, T., Marot, M. and Dini, O. (ed.) IEEE. pp. 439-444 https://doi.org/10.1109/AICT.2010.24
Security models for heterogeneous networking
Mapp, G., Aiash, M., Lasebae, A. and Phan, R. 2010. Security models for heterogeneous networking. Katsikas, S. (ed.) 4th International Conference on Security and Cryptography. Athens, Greece 26 - 28 Jul 2010 IEEE. pp. 1-4
Dual identity return routability for the security of mobile IPv6 binding updates within the distributed authentication protocol.
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2006. Dual identity return routability for the security of mobile IPv6 binding updates within the distributed authentication protocol. in: WSEAS Conferences: Elounda, Agios Nikolaos, Crete, Greece, August 18-20, 2006 Athens WSEAS.
Distributed authentication protocol utilizing dual identity return routability for the security of binding updates within mobile IPv6.
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2006. Distributed authentication protocol utilizing dual identity return routability for the security of binding updates within mobile IPv6. WSEAS transactions on communications. 5 (10), pp. 1109-2742.
Distributed authentication protocol for the security of binding updates in mobile IPv6.
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2005. Distributed authentication protocol for the security of binding updates in mobile IPv6. in: Proceedings of the 9th WSEAS international CSCC multiconference: circuits 05, systems 05, computers 05, communications 05. WSEAS.
Binding update security for mobile IPv6 using a distributed authentication protocol.
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2005. Binding update security for mobile IPv6 using a distributed authentication protocol. WSEAS transactions on communications. 4 (9), pp. 1109-2742.
Trinity protocol for authentication of binding updates in mobile IPv6.
Luo, Y., Comley, R., Lasebae, A. and Georgiades, A. 2004. Trinity protocol for authentication of binding updates in mobile IPv6. WSEAS transactions on communications. 3 (3), pp. 872-877.
Critical analysis of high speed wireless standards for transferring telementoring information
Shaikh, F., Lasebae, A. and Whitney, G. 2004. Critical analysis of high speed wireless standards for transferring telementoring information. in: ICTTA'04: 2004 International conference on information & communication technologies: from theory to applications. IEEE.