2006 27th IEEE International Real-Time Systems Symposium (RTSS'06) 2006
DOI: 10.1109/rtss.2006.21
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Diverse Soft Real-Time Processing in an Integrated System

Abstract: The simple notion of soft real-time processing has fractured into a spectrum of diverse soft real-time types with a variety of different resource and time constraints. Schedulers have been developed for each of these types, but these are essentially point solutions in the space of soft real-time and no detailed unified definition of soft real-time has previously been provided that includes all types of soft realtime processing. We present a complete real-time taxonomy covering the spectrum of processes from be… Show more

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Cited by 15 publications
(12 citation statements)
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“…While our model treats it as dead processor time, that "dead time" can actually be employed for a number of purposes, including load balancing , improving performance (Andersson and Tovar 2006;Lin and Brandt 2005), creating a work-conserving scheduler (Funaoka et al 2008b(Funaoka et al , 2008a, or running nonreal-time tasks in a hybrid system (Lin et al 2006).…”
Section: Theoremmentioning
confidence: 99%
“…While our model treats it as dead processor time, that "dead time" can actually be employed for a number of purposes, including load balancing , improving performance (Andersson and Tovar 2006;Lin and Brandt 2005), creating a work-conserving scheduler (Funaoka et al 2008b(Funaoka et al , 2008a, or running nonreal-time tasks in a hybrid system (Lin et al 2006).…”
Section: Theoremmentioning
confidence: 99%
“…While our model treats it as dead processor time, that "dead time" can actually be employed for a number of purposes, including load balancing [4], improving performance [3,19], creating a work-conserving scheduler [12,13], or running non-real-time tasks in a hybrid system [20].…”
Section: Dp-fair Conditions For Periodic Tasksmentioning
confidence: 99%
“…Other techniques that could possibly be used as a basis for adaptive scheduling of legacy applications have been proposed in the past [12], [13], but to the best knowledge of the authors the first technique developed explicitly to this purpose is in [5], where a feedback scheme for legacy applications was proposed (by almost the same authors of this paper) that uses a simple multiplicative/additive scheme to identify the resource requirements by using a coarsely quantised feedback variable.…”
Section: Related Workmentioning
confidence: 99%