@conference {4519569,
	title = {Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems},
	booktitle = {11th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC)},
	year = {2008},
	month = {05/2008},
	pages = {124 -128},
	address = {Orlando, Florida},
	abstract = {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.},
	keywords = {adaptive resource management, distributed real-time embedded systems, fluctuating resource availability, middleware, middleware framework, multicapacity resource allocation, of bin-packing algorithms, QoS, real-time systems, resource allocation},
	doi = {10.1109/ISORC.2008.72},
	attachments = {https://archive.isis.vanderbilt.edu/sites/default/files/Roy et al - 2008 - ISORC -- Toward Effective Multi-capacity Resource Allocation in DRE Sys.pdf},
	author = {Nilabja Roy and Kinnebrew, John S and Shankaran, Nishanth and Biswas, Gautam and Schmidt, Douglas C.}
}
