A high scalability P2P simulation framework with measured realistic network layer support

Guangyu Shi; Youshui Long; Hao Gong; Changqing Wan; Chuanliang Yu; Xianqing Yang; Hongli Zhang

doi:10.1109/PCCC.2008.4745130

A high scalability P2P simulation framework with measured realistic network layer support

Guangyu Shi^*
, Youshui Long
, Hao Gong
, Changqing Wan
, Chuanliang Yu
, Xianqing Yang
, Hongli Zhang

^*Corresponding author for this work

Faculty of Computing

Huawei Technologies Co., Ltd.
Harbin Institute of Technology

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

4 Scopus citations

Abstract

The Peer-to-Peer (P2P) technology being widely adopted in today's both academic research and practical service providing, has many potential advantages, including high scalability and cost-effectiveness. However, the behavior of these P2P systems under large scale and complex interactions is still poorly understood and many challenges in improving their performance remain. A fundamental problem in studying peer-to-peer networks is the evaluation of new protocols. So the technology of P2P network simulation has become a main method for understanding, researching and evaluating the P2P network algorithms and protocols. In this paper, we present a novel large-scale parallel Peer-to-Peer Simulation Framework with High Scalability (HiFiP2P) which uses message-level parallel process. By performing the comparison experiments, we show that HiFiP2P outperforms the existing simulation platform in both aspects of scalability and efficiency. And we show that with HiFiP2P simulations of networks with up to 500,000 nodes are feasible.

Original language	English
Title of host publication	2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008
Pages	311-318
Number of pages	8
DOIs	https://doi.org/10.1109/PCCC.2008.4745130
State	Published - 2008
Event	2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008 - Austin, TX, United States Duration: 7 Dec 2008 → 9 Dec 2008

Publication series

Name	Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference

Conference

Conference	2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008
Country/Territory	United States
City	Austin, TX
Period	7/12/08 → 9/12/08

Keywords

P2P
Parallel
Simulator
Synchronization
Underlying network

Access to Document

10.1109/PCCC.2008.4745130

Cite this

Shi, G., Long, Y., Gong, H., Wan, C., Yu, C., Yang, X., & Zhang, H. (2008). A high scalability P2P simulation framework with measured realistic network layer support. In 2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008 (pp. 311-318). Article 4745130 (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference). https://doi.org/10.1109/PCCC.2008.4745130

@inproceedings{35cc4072e861442d97d7269505105078,

title = "A high scalability P2P simulation framework with measured realistic network layer support",

abstract = "The Peer-to-Peer (P2P) technology being widely adopted in today's both academic research and practical service providing, has many potential advantages, including high scalability and cost-effectiveness. However, the behavior of these P2P systems under large scale and complex interactions is still poorly understood and many challenges in improving their performance remain. A fundamental problem in studying peer-to-peer networks is the evaluation of new protocols. So the technology of P2P network simulation has become a main method for understanding, researching and evaluating the P2P network algorithms and protocols. In this paper, we present a novel large-scale parallel Peer-to-Peer Simulation Framework with High Scalability (HiFiP2P) which uses message-level parallel process. By performing the comparison experiments, we show that HiFiP2P outperforms the existing simulation platform in both aspects of scalability and efficiency. And we show that with HiFiP2P simulations of networks with up to 500,000 nodes are feasible.",

keywords = "P2P, Parallel, Simulator, Synchronization, Underlying network",

author = "Guangyu Shi and Youshui Long and Hao Gong and Changqing Wan and Chuanliang Yu and Xianqing Yang and Hongli Zhang",

year = "2008",

doi = "10.1109/PCCC.2008.4745130",

language = "英语",

isbn = "9781424433674",

series = "Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference",

pages = "311--318",

booktitle = "2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008",

note = "2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008 ; Conference date: 07-12-2008 Through 09-12-2008",

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Shi, G, Long, Y, Gong, H, Wan, C, Yu, C, Yang, X & Zhang, H 2008, A high scalability P2P simulation framework with measured realistic network layer support. in 2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008., 4745130, Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, pp. 311-318, 2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008, Austin, TX, United States, 7/12/08. https://doi.org/10.1109/PCCC.2008.4745130

A high scalability P2P simulation framework with measured realistic network layer support. / Shi, Guangyu; Long, Youshui; Gong, Hao et al.
2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008. 2008. p. 311-318 4745130 (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference).

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

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AU - Shi, Guangyu

AU - Long, Youshui

AU - Gong, Hao

AU - Wan, Changqing

AU - Yu, Chuanliang

AU - Yang, Xianqing

AU - Zhang, Hongli

PY - 2008

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N2 - The Peer-to-Peer (P2P) technology being widely adopted in today's both academic research and practical service providing, has many potential advantages, including high scalability and cost-effectiveness. However, the behavior of these P2P systems under large scale and complex interactions is still poorly understood and many challenges in improving their performance remain. A fundamental problem in studying peer-to-peer networks is the evaluation of new protocols. So the technology of P2P network simulation has become a main method for understanding, researching and evaluating the P2P network algorithms and protocols. In this paper, we present a novel large-scale parallel Peer-to-Peer Simulation Framework with High Scalability (HiFiP2P) which uses message-level parallel process. By performing the comparison experiments, we show that HiFiP2P outperforms the existing simulation platform in both aspects of scalability and efficiency. And we show that with HiFiP2P simulations of networks with up to 500,000 nodes are feasible.

AB - The Peer-to-Peer (P2P) technology being widely adopted in today's both academic research and practical service providing, has many potential advantages, including high scalability and cost-effectiveness. However, the behavior of these P2P systems under large scale and complex interactions is still poorly understood and many challenges in improving their performance remain. A fundamental problem in studying peer-to-peer networks is the evaluation of new protocols. So the technology of P2P network simulation has become a main method for understanding, researching and evaluating the P2P network algorithms and protocols. In this paper, we present a novel large-scale parallel Peer-to-Peer Simulation Framework with High Scalability (HiFiP2P) which uses message-level parallel process. By performing the comparison experiments, we show that HiFiP2P outperforms the existing simulation platform in both aspects of scalability and efficiency. And we show that with HiFiP2P simulations of networks with up to 500,000 nodes are feasible.

KW - P2P

KW - Parallel

KW - Simulator

KW - Synchronization

KW - Underlying network

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ER -

Shi G, Long Y, Gong H, Wan C, Yu C, Yang X et al. A high scalability P2P simulation framework with measured realistic network layer support. In 2008 IEEE International Performance Computing and Communications Conference, IPCCC 2008. 2008. p. 311-318. 4745130. (Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference). doi: 10.1109/PCCC.2008.4745130

A high scalability P2P simulation framework with measured realistic network layer support

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Keywords

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