IEICE TRANSACTIONS on Information
Simulation Study of Low Latency Network Architecture Using Mobile Edge Computing
Summary :
Attaining extremely low latency service in 5G cellular networks is an important challenge in the communication research field. A higher QoS in the next-generation network could enable several unprecedented services, such as Tactile Internet, Augmented Reality, and Virtual Reality. However, these services will all need support from powerful computational resources provided through cloud computing. Unfortunately, the geolocation of cloud data centers could be insufficient to satisfy the latency aimed for in 5G networks. The physical distance between servers and users will sometimes be too great to enable quick reaction within the service time boundary. The problem of long latency resulting from long communication distances can be solved by Mobile Edge Computing (MEC), though, which places many servers along the edges of networks. MEC can provide shorter communication latency, but total latency consists of both the transmission and the processing times. Always selecting the closest edge server will lead to a longer computing latency in many cases, especially when there is a mass of users around particular edge servers. Therefore, the research studies the effects of both latencies. The communication latency is represented by hop count, and the computation latency is modeled by processor sharing (PS). An optimization model and selection policies are also proposed. Quantitative evaluations using simulations show that selecting a server according to the lowest total latency leads to the best performance, and permitting an over-latency barrier would further improve results.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.5 pp.963-972
- Publication Date
- 2017/05/01
- Publicized
- 2017/02/08
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016NTP0003
- Type of Manuscript
- Special Section PAPER (Special Section on the Architectures, Protocols, and Applications for the Future Internet)
- Category
Authors
Krittin INTHARAWIJITR
Tokyo Institute of Technology
Katsuyoshi IIDA
Hokkaido University
Hiroyuki KOGA
University of Kitakyushu
Keyword
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Krittin INTHARAWIJITR, Katsuyoshi IIDA, Hiroyuki KOGA, "Simulation Study of Low Latency Network Architecture Using Mobile Edge Computing" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 5, pp. 963-972, May 2017, doi: 10.1587/transinf.2016NTP0003.
Abstract: Attaining extremely low latency service in 5G cellular networks is an important challenge in the communication research field. A higher QoS in the next-generation network could enable several unprecedented services, such as Tactile Internet, Augmented Reality, and Virtual Reality. However, these services will all need support from powerful computational resources provided through cloud computing. Unfortunately, the geolocation of cloud data centers could be insufficient to satisfy the latency aimed for in 5G networks. The physical distance between servers and users will sometimes be too great to enable quick reaction within the service time boundary. The problem of long latency resulting from long communication distances can be solved by Mobile Edge Computing (MEC), though, which places many servers along the edges of networks. MEC can provide shorter communication latency, but total latency consists of both the transmission and the processing times. Always selecting the closest edge server will lead to a longer computing latency in many cases, especially when there is a mass of users around particular edge servers. Therefore, the research studies the effects of both latencies. The communication latency is represented by hop count, and the computation latency is modeled by processor sharing (PS). An optimization model and selection policies are also proposed. Quantitative evaluations using simulations show that selecting a server according to the lowest total latency leads to the best performance, and permitting an over-latency barrier would further improve results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016NTP0003/_p
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@ARTICLE{e100-d_5_963,
author={Krittin INTHARAWIJITR, Katsuyoshi IIDA, Hiroyuki KOGA, },
journal={IEICE TRANSACTIONS on Information},
title={Simulation Study of Low Latency Network Architecture Using Mobile Edge Computing},
year={2017},
volume={E100-D},
number={5},
pages={963-972},
abstract={Attaining extremely low latency service in 5G cellular networks is an important challenge in the communication research field. A higher QoS in the next-generation network could enable several unprecedented services, such as Tactile Internet, Augmented Reality, and Virtual Reality. However, these services will all need support from powerful computational resources provided through cloud computing. Unfortunately, the geolocation of cloud data centers could be insufficient to satisfy the latency aimed for in 5G networks. The physical distance between servers and users will sometimes be too great to enable quick reaction within the service time boundary. The problem of long latency resulting from long communication distances can be solved by Mobile Edge Computing (MEC), though, which places many servers along the edges of networks. MEC can provide shorter communication latency, but total latency consists of both the transmission and the processing times. Always selecting the closest edge server will lead to a longer computing latency in many cases, especially when there is a mass of users around particular edge servers. Therefore, the research studies the effects of both latencies. The communication latency is represented by hop count, and the computation latency is modeled by processor sharing (PS). An optimization model and selection policies are also proposed. Quantitative evaluations using simulations show that selecting a server according to the lowest total latency leads to the best performance, and permitting an over-latency barrier would further improve results.},
keywords={},
doi={10.1587/transinf.2016NTP0003},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Simulation Study of Low Latency Network Architecture Using Mobile Edge Computing
T2 - IEICE TRANSACTIONS on Information
SP - 963
EP - 972
AU - Krittin INTHARAWIJITR
AU - Katsuyoshi IIDA
AU - Hiroyuki KOGA
PY - 2017
DO - 10.1587/transinf.2016NTP0003
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2017
AB - Attaining extremely low latency service in 5G cellular networks is an important challenge in the communication research field. A higher QoS in the next-generation network could enable several unprecedented services, such as Tactile Internet, Augmented Reality, and Virtual Reality. However, these services will all need support from powerful computational resources provided through cloud computing. Unfortunately, the geolocation of cloud data centers could be insufficient to satisfy the latency aimed for in 5G networks. The physical distance between servers and users will sometimes be too great to enable quick reaction within the service time boundary. The problem of long latency resulting from long communication distances can be solved by Mobile Edge Computing (MEC), though, which places many servers along the edges of networks. MEC can provide shorter communication latency, but total latency consists of both the transmission and the processing times. Always selecting the closest edge server will lead to a longer computing latency in many cases, especially when there is a mass of users around particular edge servers. Therefore, the research studies the effects of both latencies. The communication latency is represented by hop count, and the computation latency is modeled by processor sharing (PS). An optimization model and selection policies are also proposed. Quantitative evaluations using simulations show that selecting a server according to the lowest total latency leads to the best performance, and permitting an over-latency barrier would further improve results.
ER -
English
