The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
조회수
93
대기 시간에 민감한 대부분의 모바일 애플리케이션은 클라우드 컴퓨팅 서비스에서 제공하는 컴퓨팅 리소스에 의존합니다. 클라우드 컴퓨팅에 의존할 때의 문제점은 때때로 클라우드 서버의 물리적 위치가 모바일 사용자와 멀리 떨어져 있고 통신 지연 시간이 길다는 것입니다. 이에 따라 5G 네트워크에는 MEC(Mobile Edge Computing)라는 분산형 클라우드 서비스 개념이 도입되고 있다. 그러나 MEC는 통신 지연 시간만 줄일 수 있습니다. 필요한 총 서비스 지연 시간을 충족하려면 MEC의 컴퓨팅 지연 시간도 고려해야 합니다. 이 연구에서는 대기 시간에 민감한 서비스와 관련하여 MEC 아키텍처에서 두 가지 대기 시간의 영향을 연구합니다. 또한 컨트롤러를 사용하여 사용자와 모바일 엣지 리소스 간의 흐름을 관리하여 실제 아키텍처에서 MEC를 분석하는 중앙 집중식 모델도 고려합니다. 시뮬레이션에 따르면 간격과 컨트롤러 대기 시간으로 인해 시스템에서 일부 차단 및 오류가 발생하는 것으로 나타났습니다. 그러나 대기 시간 제약을 완화하고 총 대기 시간이 가장 낮은 엣지 서버를 선택하는 허용 시스템은 시스템 성능을 인상적으로 향상시킬 수 있습니다.
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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부
Krittin INTHARAWIJITR, Katsuyoshi IIDA, Hiroyuki KOGA, Katsunori YAMAOKA, "Simulation Study of Low-Latency Network Model with Orchestrator in MEC" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 11, pp. 2139-2150, November 2019, doi: 10.1587/transcom.2018EBP3368.
Abstract: Most of latency-sensitive mobile applications depend on computational resources provided by a cloud computing service. The problem of relying on cloud computing is that, sometimes, the physical locations of cloud servers are distant from mobile users and the communication latency is long. As a result, the concept of distributed cloud service, called mobile edge computing (MEC), is being introduced in the 5G network. However, MEC can reduce only the communication latency. The computing latency in MEC must also be considered to satisfy the required total latency of services. In this research, we study the impact of both latencies in MEC architecture with regard to latency-sensitive services. We also consider a centralized model, in which we use a controller to manage flows between users and mobile edge resources to analyze MEC in a practical architecture. Simulations show that the interval and controller latency trigger some blocking and error in the system. However, the permissive system which relaxes latency constraints and chooses an edge server by the lowest total latency can improve the system performance impressively.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3368/_p
부
@ARTICLE{e102-b_11_2139,
author={Krittin INTHARAWIJITR, Katsuyoshi IIDA, Hiroyuki KOGA, Katsunori YAMAOKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Simulation Study of Low-Latency Network Model with Orchestrator in MEC},
year={2019},
volume={E102-B},
number={11},
pages={2139-2150},
abstract={Most of latency-sensitive mobile applications depend on computational resources provided by a cloud computing service. The problem of relying on cloud computing is that, sometimes, the physical locations of cloud servers are distant from mobile users and the communication latency is long. As a result, the concept of distributed cloud service, called mobile edge computing (MEC), is being introduced in the 5G network. However, MEC can reduce only the communication latency. The computing latency in MEC must also be considered to satisfy the required total latency of services. In this research, we study the impact of both latencies in MEC architecture with regard to latency-sensitive services. We also consider a centralized model, in which we use a controller to manage flows between users and mobile edge resources to analyze MEC in a practical architecture. Simulations show that the interval and controller latency trigger some blocking and error in the system. However, the permissive system which relaxes latency constraints and chooses an edge server by the lowest total latency can improve the system performance impressively.},
keywords={},
doi={10.1587/transcom.2018EBP3368},
ISSN={1745-1345},
month={November},}
부
TY - JOUR
TI - Simulation Study of Low-Latency Network Model with Orchestrator in MEC
T2 - IEICE TRANSACTIONS on Communications
SP - 2139
EP - 2150
AU - Krittin INTHARAWIJITR
AU - Katsuyoshi IIDA
AU - Hiroyuki KOGA
AU - Katsunori YAMAOKA
PY - 2019
DO - 10.1587/transcom.2018EBP3368
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2019
AB - Most of latency-sensitive mobile applications depend on computational resources provided by a cloud computing service. The problem of relying on cloud computing is that, sometimes, the physical locations of cloud servers are distant from mobile users and the communication latency is long. As a result, the concept of distributed cloud service, called mobile edge computing (MEC), is being introduced in the 5G network. However, MEC can reduce only the communication latency. The computing latency in MEC must also be considered to satisfy the required total latency of services. In this research, we study the impact of both latencies in MEC architecture with regard to latency-sensitive services. We also consider a centralized model, in which we use a controller to manage flows between users and mobile edge resources to analyze MEC in a practical architecture. Simulations show that the interval and controller latency trigger some blocking and error in the system. However, the permissive system which relaxes latency constraints and chooses an edge server by the lowest total latency can improve the system performance impressively.
ER -