Autonomous decentralized load tracking techniques and evaluation

Tetsuya Masuishi; Yasuyuki Oki; Koichi Shibata; Kinji Mori

doi:10.1109/DASC.2006.26

Autonomous decentralized load tracking techniques and evaluation

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

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Techniques to improve tracking ability are presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The total system can be designed as a stable system to converge measurement errors. This paper proposes some techniques to improve tracking ability, including a feed forward technique and a nonlinear technique. The techniques are evaluated by two kinds of criteria by simulation.

Original language	English
Title of host publication	Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006
Pages	69-76
Number of pages	8
DOIs	https://doi.org/10.1109/DASC.2006.26
Publication status	Published - 2006
Externally published	Yes
Event	2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 - Indianapolis, IN Duration: 2006 Sept 29 → 2006 Oct 1

Other

Other	2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006
City	Indianapolis, IN
Period	06/9/29 → 06/10/1

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering

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10.1109/DASC.2006.26

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Masuishi, T, Oki, Y, Shibata, K & Mori, K 2006, Autonomous decentralized load tracking techniques and evaluation. in Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006., 4030868, pp. 69-76, 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006, Indianapolis, IN, 06/9/29. https://doi.org/10.1109/DASC.2006.26

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abstract = "Techniques to improve tracking ability are presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The total system can be designed as a stable system to converge measurement errors. This paper proposes some techniques to improve tracking ability, including a feed forward technique and a nonlinear technique. The techniques are evaluated by two kinds of criteria by simulation.",

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

year = "2006",

doi = "10.1109/DASC.2006.26",

language = "English",

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booktitle = "Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006",

note = "2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 ; Conference date: 29-09-2006 Through 01-10-2006",

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AB - Techniques to improve tracking ability are presented for autonomous decentralized load tracking system. We propose a load tracking mechanism based on incomplete management of load information from subsystems. The system employs autonomous decentralized architecture, which enables online expansion and fault tolerance. Each subsystem asynchronously broadcasts load information to the data field shared by the subsystems. Load information in the data field is measured for a limited period of time to make the tracking ability efficient. The total system can be designed as a stable system to converge measurement errors. This paper proposes some techniques to improve tracking ability, including a feed forward technique and a nonlinear technique. The techniques are evaluated by two kinds of criteria by simulation.

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Autonomous decentralized load tracking techniques and evaluation

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