Worker PC performance measurements using benchmarks for user-PC computing system

Nobuo Funabiki; Yuki Aoyagi; Minora Kuribayashi; Wen Chun Kao

doi:10.1109/ICCE-TW.2016.7521026

Worker PC performance measurements using benchmarks for user-PC computing system

Nobuo Funabiki, Yuki Aoyagi, Minora Kuribayashi, Wen Chun Kao

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

1 Citation (Scopus)

Abstract

The User-PC computing system (UPC) has been studied to provide a parallel computing platform for members in a group using idling computing resources in personal computers (PCs) of them. UPC adopts the master-worker model where we have implemented the programs for the master on Linux and for the worker on Linux and Windows. However, the current job scheduling method does not consider the real performance of a worker PC. In this paper, we implement a function to measure the performance of a worker PC using two benchmark programs. The experiment results for six PCs in our group show that there are three times difference in the CPU performance and eight times difference in the disk performance.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509020737
DOIs	https://doi.org/10.1109/ICCE-TW.2016.7521026
Publication status	Published - Jul 25 2016
Event	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan, Province of China Duration: May 27 2016 → May 30 2016

Other

Other	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Country/Territory	Taiwan, Province of China
City	Nantou County
Period	5/27/16 → 5/30/16

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Media Technology
Computer Networks and Communications
Signal Processing

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10.1109/ICCE-TW.2016.7521026

Cite this

Worker PC performance measurements using benchmarks for user-PC computing system. / Funabiki, Nobuo; Aoyagi, Yuki; Kuribayashi, Minora; Kao, Wen Chun.

2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7521026.

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

Funabiki, N, Aoyagi, Y, Kuribayashi, M & Kao, WC 2016, Worker PC performance measurements using benchmarks for user-PC computing system. in 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016., 7521026, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Nantou County, Taiwan, Province of China, 5/27/16. https://doi.org/10.1109/ICCE-TW.2016.7521026

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abstract = "The User-PC computing system (UPC) has been studied to provide a parallel computing platform for members in a group using idling computing resources in personal computers (PCs) of them. UPC adopts the master-worker model where we have implemented the programs for the master on Linux and for the worker on Linux and Windows. However, the current job scheduling method does not consider the real performance of a worker PC. In this paper, we implement a function to measure the performance of a worker PC using two benchmark programs. The experiment results for six PCs in our group show that there are three times difference in the CPU performance and eight times difference in the disk performance.",

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AB - The User-PC computing system (UPC) has been studied to provide a parallel computing platform for members in a group using idling computing resources in personal computers (PCs) of them. UPC adopts the master-worker model where we have implemented the programs for the master on Linux and for the worker on Linux and Windows. However, the current job scheduling method does not consider the real performance of a worker PC. In this paper, we implement a function to measure the performance of a worker PC using two benchmark programs. The experiment results for six PCs in our group show that there are three times difference in the CPU performance and eight times difference in the disk performance.

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Worker PC performance measurements using benchmarks for user-PC computing system

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