Heuristic Distribution of Latency-Sensitive Tasks in Multi-Access Edge Computing Systems Article Swipe
Guilherme Iecker Ricardo
,
Amal Benhamiche
,
Nancy Perrot
,
Yannick Carlinet
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/gcwkshps56602.2022.10008694
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/gcwkshps56602.2022.10008694
Multi-Access Edge Computing (MEC) paradigm has been widely studied as a potential solution to cope with the challenges emerging from new generations of mobile networks. By processing applications' data closer to the users, service providers are able to offload origin servers and their underlying network infrastructure, which consequently reduces users' experienced latency. In this paper, we consider internet-based applications with strict latency tolerance which are primarily enabled by the MEC architecture. Moreover, nodes at the edge may host application-related tasks as well as assist in their provision. We address the Task Distribution Problem (TDP), where the objective is to maximize the overall Quality of Service (QoS) based on the achieved throughput while ensuring that tasks' latency requirements are satisfied. The TDP is modeled as an Integer Programming problem, taking into account three components: (i) tasks' priority assignment, (ii) placement and (iii) routing through the MEC network. We propose to approach the problem through two different heuristics: a greedy replacement algorithm and a streaming algorithm. In our experiments, we evaluate the algorithms' performance by showing numerical results across different experimental settings. We observe that, for the tested scenarios, our techniques provide a good trade-off between run time and high performance.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/gcwkshps56602.2022.10008694
- OA Status
- green
- Cited By
- 2
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4315783372
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4315783372Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/gcwkshps56602.2022.10008694Digital Object Identifier
- Title
-
Heuristic Distribution of Latency-Sensitive Tasks in Multi-Access Edge Computing SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-04Full publication date if available
- Authors
-
Guilherme Iecker Ricardo, Amal Benhamiche, Nancy Perrot, Yannick CarlinetList of authors in order
- Landing page
-
https://doi.org/10.1109/gcwkshps56602.2022.10008694Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5281/zenodo.10246480Direct OA link when available
- Concepts
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Computer science, Distributed computing, Heuristics, Latency (audio), Edge computing, Quality of service, Computer network, Server, The Internet, Mobile edge computing, Integer programming, Enhanced Data Rates for GSM Evolution, Operating system, Telecommunications, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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