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Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems
May 05-May 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISORC.2008.722008 11th IEEE Symposium on Object Or ...
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Effective resource management for distributed real-time embedded (DRE) systems is hard due to their unique characteristics, including (1) constraints in multiple resources and (2) highly fluctuating resource availability and input workload. DRE systems can benefit from a middleware framework that enables adaptive resource management algorithms to ensure application QoS requirements are met. This paper identifies key challenges in designing and extending resource allocation algorithms for DRE systems. We present an empirical study of bin-packing algorithms enhanced to meet these challenges. Our analysis identifies input application patterns that help generate appropriate heuristics for using these algorithms effectively in DRE systems.
Index Terms:
DRE Systems, Bin Packing, Resource Allocation
Citation:
Nilabja Roy, John S. Kinnebrew, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt, "Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems," isorc, pp.124-128, 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC), 2008
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