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Evaluating Adaptive Resource Management for Distributed Real-Time Embedded Systems (2005)
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| Venue: | In Proceedings of 4th Workshop on Adaptive and Reflective Middleware |
| Citations: | 3 - 3 self |
BibTeX
@INPROCEEDINGS{Shankaran05evaluatingadaptive,
author = {Nishanth Shankaran and Xenofon Koutsoukos and Douglas C. Schmidt and Aniruddha Gokhale},
title = {Evaluating Adaptive Resource Management for Distributed Real-Time Embedded Systems},
booktitle = {In Proceedings of 4th Workshop on Adaptive and Reflective Middleware},
year = {2005}
}
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Abstract
A challenging problem faced by researchers and developers of distributed real-time and embedded (DRE) systems is devising and implementing effective adaptive resource management strategies that can meet end-to-end quality of service (QoS) requirements in varying operational contexts. This paper presents three contributions to research on adaptive resource management for DRE systems. First, we describe the structure and functionality of the Hybrid Adaptive Resource-management Middleware (HyARM), which provides advanced distributed resource management based on hybrid control theoretic techniques to monitor system utilization and adapt to fluctuations in workload. Second, we present an analytical model of HyARM that formalizes the control theoretic behavior of HyARM and conveys the relationship between the system resource utilization and application QoS. Third, we highlight the adaptive behavior of HyARM via experiments on a DRE multimedia system that distributes video in real-time.
Keyphrases
adaptive resource management distributed real-time embedded system control theoretic behavior challenging problem application qos system resource utilization hybrid control theoretic technique dre multimedia system resource management system utilization analytical model end-to-end quality effective adaptive resource management strategy dre system hybrid adaptive resource-management middleware adaptive behavior operational context
