dc.contributor.author |
Afachao, K
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2023-10-30T06:04:51Z |
|
dc.date.available |
2023-10-30T06:04:51Z |
|
dc.date.issued |
2023-06 |
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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
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dc.identifier.uri |
http://hdl.handle.net/10204/13182
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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 -
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en_ZA |
dc.identifier.worklist |
27077 |
en_US |