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Running virtual services for the intelligent edge: A review

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dc.contributor.author Afachao, K
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2023-10-30T06:04:51Z
dc.date.available 2023-10-30T06:04:51Z
dc.date.issued 2023-06
dc.identifier.citation Afachao, K. & Abu-Mahfouz, A.M. 2023. Running virtual services for the intelligent edge: A review. http://hdl.handle.net/10204/13182 . en_ZA
dc.identifier.uri DOI: 10.1109/AIIoT58121.2023.10174530
dc.identifier.uri http://hdl.handle.net/10204/13182
dc.description.abstract In the world of technology, there are several emerging technologies that are driving research towards making the Intelligent Edge suitable for various application growth. Some of these technologies include Artificial Intelligence, the Internet of Things, Virtualization, and Edge Computing. Virtualization is a popular choice as it provides adaptable development of services. Meanwhile, Artificial Intelligence offers promising data manipulation opportunities, and Edge Computing provides lower latency and higher data privacy to users. This paper focuses on the architecture for virtual service deployment in the Intelligent Edge, with a particular emphasis on significant concepts such as Virtualization, Network Function Virtualization, Artificial Intelligence, and the Intelligent Edge. The paper also discusses various modifications for virtual services, such as the Round Robin Algorithm, Minimum-Minimum algorithm, Multiheuristic Algorithm, and Particle Swarm Optimization Algorithm. These algorithms are compared based on performance indicators such as makespan, standard deviation, degree of imbalance, and processing speed. While the results vary from one algorithm to another, they suggest that there is always room for improvement. Furthermore, the paper presents future opportunities for virtual service deployment in Intelligent Edge Computing. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/10174530 en_US
dc.source IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 7-10 June 2023 en_US
dc.subject Artificial intelligence en_US
dc.subject Edge computing en_US
dc.subject Internet of Things en_US
dc.subject Scheduling Algorithms en_US
dc.subject Virtualization en_US
dc.title Running virtual services for the intelligent edge: A review en_US
dc.type Conference Presentation en_US
dc.description.pages 6 en_US
dc.description.note Copyright: 2023 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/10174530 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea EDT4IR Management en_US
dc.identifier.apacitation Afachao, K., & Abu-Mahfouz, A. M. (2023). Running virtual services for the intelligent edge: A review. http://hdl.handle.net/10204/13182 en_ZA
dc.identifier.chicagocitation Afachao, K, and Adnan MI Abu-Mahfouz. "Running virtual services for the intelligent edge: A review." <i>IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 7-10 June 2023</i> (2023): http://hdl.handle.net/10204/13182 en_ZA
dc.identifier.vancouvercitation Afachao K, Abu-Mahfouz AM, Running virtual services for the intelligent edge: A review; 2023. http://hdl.handle.net/10204/13182 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Afachao, K AU - Abu-Mahfouz, Adnan MI AB - In the world of technology, there are several emerging technologies that are driving research towards making the Intelligent Edge suitable for various application growth. Some of these technologies include Artificial Intelligence, the Internet of Things, Virtualization, and Edge Computing. Virtualization is a popular choice as it provides adaptable development of services. Meanwhile, Artificial Intelligence offers promising data manipulation opportunities, and Edge Computing provides lower latency and higher data privacy to users. This paper focuses on the architecture for virtual service deployment in the Intelligent Edge, with a particular emphasis on significant concepts such as Virtualization, Network Function Virtualization, Artificial Intelligence, and the Intelligent Edge. The paper also discusses various modifications for virtual services, such as the Round Robin Algorithm, Minimum-Minimum algorithm, Multiheuristic Algorithm, and Particle Swarm Optimization Algorithm. These algorithms are compared based on performance indicators such as makespan, standard deviation, degree of imbalance, and processing speed. While the results vary from one algorithm to another, they suggest that there is always room for improvement. Furthermore, the paper presents future opportunities for virtual service deployment in Intelligent Edge Computing. DA - 2023-06 DB - ResearchSpace DP - CSIR J1 - IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 7-10 June 2023 KW - Artificial intelligence KW - Edge computing KW - Internet of Things KW - Scheduling Algorithms KW - Virtualization LK - https://researchspace.csir.co.za PY - 2023 T1 - Running virtual services for the intelligent edge: A review TI - Running virtual services for the intelligent edge: A review UR - http://hdl.handle.net/10204/13182 ER - en_ZA
dc.identifier.worklist 27077 en_US


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