Performance Evaluation of Container Orchestration Tools in Edge Computing Environments
Edge computing is a viable approach to improve service delivery and performance parameters by extending the cloud with resources placed closer to a given service environment. Numerous research papers in the literature have already identified the key benefits of this architectural approach. However,...
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| Published in | Sensors (Basel, Switzerland) Vol. 23; no. 8; p. 4008 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
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MDPI AG
15.04.2023
MDPI |
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| Online Access | Get full text |
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| Abstract | Edge computing is a viable approach to improve service delivery and performance parameters by extending the cloud with resources placed closer to a given service environment. Numerous research papers in the literature have already identified the key benefits of this architectural approach. However, most results are based on simulations performed in closed network environments. This paper aims to analyze the existing implementations of processing environments containing edge resources, taking into account the targeted quality of service (QoS) parameters and the utilized orchestration platforms. Based on this analysis, the most popular edge orchestration platforms are evaluated in terms of their workflow that allows the inclusion of remote devices in the processing environment and their ability to adapt the logic of the scheduling algorithms to improve the targeted QoS attributes. The experimental results compare the performance of the platforms and show the current state of their readiness for edge computing in real network and execution environments. These findings suggest that Kubernetes and its distributions have the potential to provide effective scheduling across the resources on the network's edge. However, some challenges still have to be addressed to completely adapt these tools for such a dynamic and distributed execution environment as edge computing implies. |
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| AbstractList | Edge computing is a viable approach to improve service delivery and performance parameters by extending the cloud with resources placed closer to a given service environment. Numerous research papers in the literature have already identified the key benefits of this architectural approach. However, most results are based on simulations performed in closed network environments. This paper aims to analyze the existing implementations of processing environments containing edge resources, taking into account the targeted quality of service (QoS) parameters and the utilized orchestration platforms. Based on this analysis, the most popular edge orchestration platforms are evaluated in terms of their workflow that allows the inclusion of remote devices in the processing environment and their ability to adapt the logic of the scheduling algorithms to improve the targeted QoS attributes. The experimental results compare the performance of the platforms and show the current state of their readiness for edge computing in real network and execution environments. These findings suggest that Kubernetes and its distributions have the potential to provide effective scheduling across the resources on the network's edge. However, some challenges still have to be addressed to completely adapt these tools for such a dynamic and distributed execution environment as edge computing implies. |
| Audience | Academic |
| Author | Kušek, Mario Krivić, Petar Podnar Žarko, Ivana Čilić, Ivan |
| AuthorAffiliation | Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia |
| AuthorAffiliation_xml | – name: Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia |
| Author_xml | – sequence: 1 givenname: Ivan surname: Čilić fullname: Čilić, Ivan organization: Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia – sequence: 2 givenname: Petar surname: Krivić fullname: Krivić, Petar organization: Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia – sequence: 3 givenname: Ivana orcidid: 0000-0001-5619-2142 surname: Podnar Žarko fullname: Podnar Žarko, Ivana organization: Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia – sequence: 4 givenname: Mario surname: Kušek fullname: Kušek, Mario organization: Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37112349$$D View this record in MEDLINE/PubMed |
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| Keywords | container Internet of Things (IoT) ioFog KubeEdge edge computing service orchestration K3s service scheduling Kubernetes |
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| SubjectTerms | Algorithms Architecture container edge computing Internet of Things Internet of Things (IoT) Kubernetes Parameters Performance evaluation Scheduling service orchestration service scheduling Software Workflow |
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| Title | Performance Evaluation of Container Orchestration Tools in Edge Computing Environments |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/37112349 https://www.proquest.com/docview/2806587380 https://search.proquest.com/docview/2807909940 https://pubmed.ncbi.nlm.nih.gov/PMC10143384 https://doaj.org/article/afd48f91dc204a84852a0b95c1fadd2d |
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