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Empirical Study of Low-Latency Network Model with Orchestrator in MEC
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Summary :
The Internet of Things (IoT) with its support for cyber-physical systems (CPS) will provide many latency-sensitive services that require very fast responses from network services. Mobile edge computing (MEC), one of the distributed computing models, is a promising component of the low-latency network architecture. In network architectures with MEC, mobile devices will offload heavy computing tasks to edge servers. There exist numbers of researches about low-latency network architecture with MEC. However, none of the existing researches simultaneously satisfy the followings: (1) guarantee the latency of computing tasks and (2) implement a real system. In this paper, we designed and implemented an MEC based network architecture that guarantees the latency of offloading tasks. More specifically, we first estimate the total latency including computing and communication ones at the centralized node called orchestrator. If the estimated value exceeds the latency requirement, the task will be rejected. We then evaluated its performance in terms of the blocking probability of the tasks. To analyze the results, we compared the performance between obtained from experiments and simulations. Based on the comparisons, we clarified that the computing latency estimation accuracy is a significant factor for this system.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E104-B No.3 pp.229-239
- Publication Date
- 2021/03/01
- Publicized
- 2020/09/01
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2020NVP0005
- Type of Manuscript
- Special Section PAPER (Special Section on Fusion of Network Virtualization/Softwarization and Artificial Intelligence towards Beyond-5G Innovative IoT Services)
- Category
- Network
Authors
Krittin INTHARAWIJITR
Tokyo Institute of Technology
Katsuyoshi IIDA
Hokkaido University
Hiroyuki KOGA
University of Kitakyushu
Katsunori YAMAOKA
Tokyo Institute of Technology
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Krittin INTHARAWIJITR, Katsuyoshi IIDA, Hiroyuki KOGA, Katsunori YAMAOKA, "Empirical Study of Low-Latency Network Model with Orchestrator in MEC" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 3, pp. 229-239, March 2021, doi: 10.1587/transcom.2020NVP0005.
Abstract: The Internet of Things (IoT) with its support for cyber-physical systems (CPS) will provide many latency-sensitive services that require very fast responses from network services. Mobile edge computing (MEC), one of the distributed computing models, is a promising component of the low-latency network architecture. In network architectures with MEC, mobile devices will offload heavy computing tasks to edge servers. There exist numbers of researches about low-latency network architecture with MEC. However, none of the existing researches simultaneously satisfy the followings: (1) guarantee the latency of computing tasks and (2) implement a real system. In this paper, we designed and implemented an MEC based network architecture that guarantees the latency of offloading tasks. More specifically, we first estimate the total latency including computing and communication ones at the centralized node called orchestrator. If the estimated value exceeds the latency requirement, the task will be rejected. We then evaluated its performance in terms of the blocking probability of the tasks. To analyze the results, we compared the performance between obtained from experiments and simulations. Based on the comparisons, we clarified that the computing latency estimation accuracy is a significant factor for this system.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020NVP0005/_p
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@ARTICLE{e104-b_3_229,
author={Krittin INTHARAWIJITR, Katsuyoshi IIDA, Hiroyuki KOGA, Katsunori YAMAOKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Empirical Study of Low-Latency Network Model with Orchestrator in MEC},
year={2021},
volume={E104-B},
number={3},
pages={229-239},
abstract={The Internet of Things (IoT) with its support for cyber-physical systems (CPS) will provide many latency-sensitive services that require very fast responses from network services. Mobile edge computing (MEC), one of the distributed computing models, is a promising component of the low-latency network architecture. In network architectures with MEC, mobile devices will offload heavy computing tasks to edge servers. There exist numbers of researches about low-latency network architecture with MEC. However, none of the existing researches simultaneously satisfy the followings: (1) guarantee the latency of computing tasks and (2) implement a real system. In this paper, we designed and implemented an MEC based network architecture that guarantees the latency of offloading tasks. More specifically, we first estimate the total latency including computing and communication ones at the centralized node called orchestrator. If the estimated value exceeds the latency requirement, the task will be rejected. We then evaluated its performance in terms of the blocking probability of the tasks. To analyze the results, we compared the performance between obtained from experiments and simulations. Based on the comparisons, we clarified that the computing latency estimation accuracy is a significant factor for this system.},
keywords={},
doi={10.1587/transcom.2020NVP0005},
ISSN={1745-1345},
month={March},}
Copy
TY - JOUR
TI - Empirical Study of Low-Latency Network Model with Orchestrator in MEC
T2 - IEICE TRANSACTIONS on Communications
SP - 229
EP - 239
AU - Krittin INTHARAWIJITR
AU - Katsuyoshi IIDA
AU - Hiroyuki KOGA
AU - Katsunori YAMAOKA
PY - 2021
DO - 10.1587/transcom.2020NVP0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2021
AB - The Internet of Things (IoT) with its support for cyber-physical systems (CPS) will provide many latency-sensitive services that require very fast responses from network services. Mobile edge computing (MEC), one of the distributed computing models, is a promising component of the low-latency network architecture. In network architectures with MEC, mobile devices will offload heavy computing tasks to edge servers. There exist numbers of researches about low-latency network architecture with MEC. However, none of the existing researches simultaneously satisfy the followings: (1) guarantee the latency of computing tasks and (2) implement a real system. In this paper, we designed and implemented an MEC based network architecture that guarantees the latency of offloading tasks. More specifically, we first estimate the total latency including computing and communication ones at the centralized node called orchestrator. If the estimated value exceeds the latency requirement, the task will be rejected. We then evaluated its performance in terms of the blocking probability of the tasks. To analyze the results, we compared the performance between obtained from experiments and simulations. Based on the comparisons, we clarified that the computing latency estimation accuracy is a significant factor for this system.
ER -
English
