ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing

Tien Dung Nguyen; Eui Nam Huh

doi:10.1109/EDGE.2018.00018

ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing

Tien Dung Nguyen
, Eui Nam Huh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

As the overwhelming growth of smart devices and massive arrival of new application, network traffic volume has been growing rapidly. The traditional centralized network architecture, such as locating services at core cloud, causes a heavy burden on the backhaul link and long latency. Edge Cloud Computing has been introduced to reduce traffic bottlenecks in the core, backhaul network and service delay by pushing data intensive tasks towards the edge and locally processing data in proximity to the users. This paper introduces a new simulation framework, so-called ECSim++, based on the OMNeT++ simulator [15] and INET framework [2] to enable exploration of computing, caching, communication or energy efficiency related issues in Edge Cloud Computing. ECSim++ is designed not only to allow researchers to customize caching protocols, edge services, but also to analyze, debug and evaluate easily for Edge Cloud Computing environment. In addition, ECSim++ also provides an energy consumption model so that researchers could deploy and evaluate their energy strategies.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	80-86
Number of pages	7
ISBN (Electronic)	9781538672389
DOIs	https://doi.org/10.1109/EDGE.2018.00018
Publication status	Published - 26 Sept 2018
Event	2018 IEEE International Conference on Edge Computing, EDGE 2018 - San Francisco, United States Duration: 2 Jul 2018 → 7 Jul 2018

Publication series

Name	Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services

Conference

Conference	2018 IEEE International Conference on Edge Computing, EDGE 2018
Country/Territory	United States
City	San Francisco
Period	2/07/18 → 7/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Edge cloud computing
Energy efficiency model
INET
OMNeT++

Access to Document

10.1109/EDGE.2018.00018

Cite this

Nguyen, T. D., & Huh, E. N. (2018). ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing. In Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services (pp. 80-86). Article 8473380 (Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EDGE.2018.00018

Nguyen, Tien Dung ; Huh, Eui Nam. / ECSim++ : An INET-based simulation tool for modeling and control in edge cloud computing. Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 80-86 (Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services).

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title = "ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing",

abstract = "As the overwhelming growth of smart devices and massive arrival of new application, network traffic volume has been growing rapidly. The traditional centralized network architecture, such as locating services at core cloud, causes a heavy burden on the backhaul link and long latency. Edge Cloud Computing has been introduced to reduce traffic bottlenecks in the core, backhaul network and service delay by pushing data intensive tasks towards the edge and locally processing data in proximity to the users. This paper introduces a new simulation framework, so-called ECSim++, based on the OMNeT++ simulator [15] and INET framework [2] to enable exploration of computing, caching, communication or energy efficiency related issues in Edge Cloud Computing. ECSim++ is designed not only to allow researchers to customize caching protocols, edge services, but also to analyze, debug and evaluate easily for Edge Cloud Computing environment. In addition, ECSim++ also provides an energy consumption model so that researchers could deploy and evaluate their energy strategies.",

keywords = "Edge cloud computing, Energy efficiency model, INET, OMNeT++",

author = "Nguyen, \{Tien Dung\} and Huh, \{Eui Nam\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Edge Computing, EDGE 2018 ; Conference date: 02-07-2018 Through 07-07-2018",

year = "2018",

month = sep,

day = "26",

doi = "10.1109/EDGE.2018.00018",

language = "English",

series = "Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services",

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Nguyen, TD & Huh, EN 2018, ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing. in Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services., 8473380, Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services, Institute of Electrical and Electronics Engineers Inc., pp. 80-86, 2018 IEEE International Conference on Edge Computing, EDGE 2018, San Francisco, United States, 2/07/18. https://doi.org/10.1109/EDGE.2018.00018

ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing. / Nguyen, Tien Dung; Huh, Eui Nam.
Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers Inc., 2018. p. 80-86 8473380 (Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ECSim++

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AU - Nguyen, Tien Dung

AU - Huh, Eui Nam

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N2 - As the overwhelming growth of smart devices and massive arrival of new application, network traffic volume has been growing rapidly. The traditional centralized network architecture, such as locating services at core cloud, causes a heavy burden on the backhaul link and long latency. Edge Cloud Computing has been introduced to reduce traffic bottlenecks in the core, backhaul network and service delay by pushing data intensive tasks towards the edge and locally processing data in proximity to the users. This paper introduces a new simulation framework, so-called ECSim++, based on the OMNeT++ simulator [15] and INET framework [2] to enable exploration of computing, caching, communication or energy efficiency related issues in Edge Cloud Computing. ECSim++ is designed not only to allow researchers to customize caching protocols, edge services, but also to analyze, debug and evaluate easily for Edge Cloud Computing environment. In addition, ECSim++ also provides an energy consumption model so that researchers could deploy and evaluate their energy strategies.

AB - As the overwhelming growth of smart devices and massive arrival of new application, network traffic volume has been growing rapidly. The traditional centralized network architecture, such as locating services at core cloud, causes a heavy burden on the backhaul link and long latency. Edge Cloud Computing has been introduced to reduce traffic bottlenecks in the core, backhaul network and service delay by pushing data intensive tasks towards the edge and locally processing data in proximity to the users. This paper introduces a new simulation framework, so-called ECSim++, based on the OMNeT++ simulator [15] and INET framework [2] to enable exploration of computing, caching, communication or energy efficiency related issues in Edge Cloud Computing. ECSim++ is designed not only to allow researchers to customize caching protocols, edge services, but also to analyze, debug and evaluate easily for Edge Cloud Computing environment. In addition, ECSim++ also provides an energy consumption model so that researchers could deploy and evaluate their energy strategies.

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KW - Energy efficiency model

KW - INET

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M3 - Conference contribution

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T3 - Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services

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BT - Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Nguyen TD, Huh EN. ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing. In Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers Inc. 2018. p. 80-86. 8473380. (Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services). doi: 10.1109/EDGE.2018.00018

ECSim++: An INET-based simulation tool for modeling and control in edge cloud computing

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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Cite this