Evaluating adaptive resource management for distributed real-time embedded systems

Authors:
Nishanth Shankaran;Xenofon Koutsoukos;Douglas C. Schmidt;Aniruddha Gokhale
Affiliations:
Vanderbilt University, Nashville;Vanderbilt University, Nashville;Vanderbilt University, Nashville;Vanderbilt University, Nashville
Venue:
ARM '05 Proceedings of the 4th workshop on Reflective and adaptive middleware systems
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 conditions. This paper presents two contributions to research in adaptive resource management for DRE systems. First, we describe the structure and functionality of the Hybrid Adaptive Resource management Middleware (HyARM), which provides adaptive resource management using hybrid control techniques for adapting to workload fluctuations and resource availability. Second, we evaluate the adaptive behavior of HyARM via experiments on a DRE multimedia system that distributes video in real-time. Our results indicate that HyARM yields predictable, stable, and high system performance, even in the face of fluctuating workload and resource availability.