<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nilabja Roy</style></author><author><style face="normal" font="default" size="100%">Kinnebrew, John S</style></author><author><style face="normal" font="default" size="100%">Shankaran, Nishanth</style></author><author><style face="normal" font="default" size="100%">Biswas, Gautam</style></author><author><style face="normal" font="default" size="100%">Schmidt, Douglas C.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems</style></title><secondary-title><style face="normal" font="default" size="100%">11th IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">adaptive resource management</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed real-time embedded systems</style></keyword><keyword><style  face="normal" font="default" size="100%">fluctuating resource availability</style></keyword><keyword><style  face="normal" font="default" size="100%">middleware</style></keyword><keyword><style  face="normal" font="default" size="100%">middleware framework</style></keyword><keyword><style  face="normal" font="default" size="100%">multicapacity resource allocation</style></keyword><keyword><style  face="normal" font="default" size="100%">of bin-packing algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">QoS</style></keyword><keyword><style  face="normal" font="default" size="100%">real-time systems</style></keyword><keyword><style  face="normal" font="default" size="100%">resource allocation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2008</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/Roy et al - 2008 - ISORC -- Toward Effective Multi-capacity Resource Allocation in DRE Sys.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Orlando, Florida</style></pub-location><pages><style face="normal" font="default" size="100%">124 -128</style></pages><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record></records></xml>