Autonomous decentralized load tracking systems and evaluation criteria for response stability

Tetsuya Masuishi; Yasuyuki Oki; Koichi Shibata; Kinji Mori

doi:10.1109/ISADS.2007.22

Autonomous decentralized load tracking systems and evaluation criteria for response stability

Tetsuya Masuishi^*, Yasuyuki Oki, Koichi Shibata, Kinji Mori

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper proposes autonomous decentralized load tracking system to adapt computing resource to unpredictably fluctuating load. Autonomous measurement technology is proposed to achieve better response time, by communicating load difference among subsystems and normalized integral to estimate total load using limited information gathered within a measurement period. Autonomous controlled decision technology is proposed. Characteristics for the system to maintain are clarified and a decision mechanism by binary functions with uniformly distributed thresholds is proposed. Evaluation criteria for response and stability are proposed to measure response satisfaction for end users and stability satisfaction for system administrators. A trade-off relationship is shown between the two criteria. Comparisons with existent technologies are done using the criteria.

Original language	English
Title of host publication	Proceedings - Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007
Pages	255-262
Number of pages	8
DOIs	https://doi.org/10.1109/ISADS.2007.22
Publication status	Published - 2007
Externally published	Yes
Event	8th International Symposium on Autonomous Decentralized Systems, ISADS 2007 - Sedona, AZ Duration: 2007 Mar 21 → 2007 Mar 23

Other

Other	8th International Symposium on Autonomous Decentralized Systems, ISADS 2007
City	Sedona, AZ
Period	07/3/21 → 07/3/23

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Software

Access to Document

10.1109/ISADS.2007.22

Cite this

Masuishi, T, Oki, Y, Shibata, K & Mori, K 2007, Autonomous decentralized load tracking systems and evaluation criteria for response stability. in Proceedings - Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007., 4144678, pp. 255-262, 8th International Symposium on Autonomous Decentralized Systems, ISADS 2007, Sedona, AZ, 07/3/21. https://doi.org/10.1109/ISADS.2007.22

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title = "Autonomous decentralized load tracking systems and evaluation criteria for response stability",

abstract = "This paper proposes autonomous decentralized load tracking system to adapt computing resource to unpredictably fluctuating load. Autonomous measurement technology is proposed to achieve better response time, by communicating load difference among subsystems and normalized integral to estimate total load using limited information gathered within a measurement period. Autonomous controlled decision technology is proposed. Characteristics for the system to maintain are clarified and a decision mechanism by binary functions with uniformly distributed thresholds is proposed. Evaluation criteria for response and stability are proposed to measure response satisfaction for end users and stability satisfaction for system administrators. A trade-off relationship is shown between the two criteria. Comparisons with existent technologies are done using the criteria.",

author = "Tetsuya Masuishi and Yasuyuki Oki and Koichi Shibata and Kinji Mori",

year = "2007",

doi = "10.1109/ISADS.2007.22",

language = "English",

isbn = "076952804X",

pages = "255--262",

booktitle = "Proceedings - Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007",

note = "8th International Symposium on Autonomous Decentralized Systems, ISADS 2007 ; Conference date: 21-03-2007 Through 23-03-2007",

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AU - Masuishi, Tetsuya

AU - Oki, Yasuyuki

AU - Shibata, Koichi

AU - Mori, Kinji

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Y1 - 2007

N2 - This paper proposes autonomous decentralized load tracking system to adapt computing resource to unpredictably fluctuating load. Autonomous measurement technology is proposed to achieve better response time, by communicating load difference among subsystems and normalized integral to estimate total load using limited information gathered within a measurement period. Autonomous controlled decision technology is proposed. Characteristics for the system to maintain are clarified and a decision mechanism by binary functions with uniformly distributed thresholds is proposed. Evaluation criteria for response and stability are proposed to measure response satisfaction for end users and stability satisfaction for system administrators. A trade-off relationship is shown between the two criteria. Comparisons with existent technologies are done using the criteria.

AB - This paper proposes autonomous decentralized load tracking system to adapt computing resource to unpredictably fluctuating load. Autonomous measurement technology is proposed to achieve better response time, by communicating load difference among subsystems and normalized integral to estimate total load using limited information gathered within a measurement period. Autonomous controlled decision technology is proposed. Characteristics for the system to maintain are clarified and a decision mechanism by binary functions with uniformly distributed thresholds is proposed. Evaluation criteria for response and stability are proposed to measure response satisfaction for end users and stability satisfaction for system administrators. A trade-off relationship is shown between the two criteria. Comparisons with existent technologies are done using the criteria.

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DO - 10.1109/ISADS.2007.22

M3 - Conference contribution

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SN - 076952804X

SN - 9780769528045

SP - 255

EP - 262

BT - Proceedings - Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007

T2 - 8th International Symposium on Autonomous Decentralized Systems, ISADS 2007

Y2 - 21 March 2007 through 23 March 2007

ER -

Autonomous decentralized load tracking systems and evaluation criteria for response stability

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