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Modular Performance Analysis of Energy-Harvesting Real-Time Networked Systems
Northeastern Univ, Shenyang, Heping, Peoples R China..
City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China..
City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China..
Tsinghua Univ, Beijing, Peoples R China..
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2015 (English)In: 2015 IEEE 36Th Real-Time Systems Symposium (RTSS 2015), 2015, 65-74 p.Conference paper (Refereed)Text
Abstract [en]

This paper studies the performance analysis problem of energy-harvesting real-time network systems in the Real-Time Calculus (RTC) framework. The behavior of an energy-harvesting node turns out to be a generalization of two known components in RTC: it behaves like an AND connector if the capacitor used to temporally store surplus energy has unlimited capacity and there is no energy loss, while it behaves like a greedy processing component (GPC) if the size of the capacitor is zero and thus surplus energy is lost or passed to other nodes immediately. In this paper, methods are developed to analyze the worst-case performance, in terms of delay and backlog, of energy-harvesting nodes as well as compute upper/lower bounds of their data and energy outputs. Moreover, with the proposed analysis methods, we disclose some interesting properties of the worst-case behaviors of energy-harvesting systems, which provide useful information to guide system design. Experiments are conducted to evaluate our theoretical contributions and also confirm that the disclosed properties are not just the result of our analysis, but indeed hold in realistic system behaviors.

Place, publisher, year, edition, pages
2015. 65-74 p.
Series
, Real-Time Systems Symposium-Proceedings, ISSN 1052-8725
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:uu:diva-301469DOI: 10.1109/RTSS.2015.14ISI: 000380424600007ISBN: 9781467395076OAI: oai:DiVA.org:uu-301469DiVA: diva2:954753
Conference
IEEE 36th Real-Time Systems Symposium (RTSS), DEC 01-04, 2015, San Antonio, TX
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2016-08-23Bibliographically approved

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Wang, Yi
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