2006 27th IEEE International Real-Time Systems Symposium (RTSS'06) 2006
DOI: 10.1109/rtss.2006.24
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Generalized Elastic Scheduling

Abstract: The elastic task model [9]

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Cited by 38 publications
(31 citation statements)
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References 29 publications
(54 reference statements)
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“…Therefore, we can either have all the constraints in (4) be active or all are inactive. If all the constraints in (4) are active, we have (13) which contradicts the assumption that the resultant task set is schedulable. If all the constraints in (4) are inactive, (12) requires that µ 0 > 0, which contradicts the assumption that constraint (2) is inactive.…”
Section: Period Selection For the Basic Task Modelmentioning
confidence: 93%
See 1 more Smart Citation
“…Therefore, we can either have all the constraints in (4) be active or all are inactive. If all the constraints in (4) are active, we have (13) which contradicts the assumption that the resultant task set is schedulable. If all the constraints in (4) are inactive, (12) requires that µ 0 > 0, which contradicts the assumption that constraint (2) is inactive.…”
Section: Period Selection For the Basic Task Modelmentioning
confidence: 93%
“…Based on our previous findings in [13], this paper generalizes the existing elastic scheduling approach in several directions. First, we re-examine the problem of period determination in the elastic task model and show that the task compression algorithm in [10] in fact solves a quadratic programming (QP) problem.…”
mentioning
confidence: 99%
“…With respect to controller design, the literature does offer quite a few works that perform offline timing and control analysis together (e.g., [4,5,6,7,25]). However, as the name suggests, offline methods lead to overly conservative designs, and they are unsuitable to be employed in real-time as well as in conjunction with the MPC design [13,19].These are usually performed using computer simulations for all time stamps based on the employed scheduling algorithm.…”
Section: Review Of Literaturementioning
confidence: 99%
“…However, the current current approaches have significant drawbacks. They either perform joint offline design on timing and control, hence inapplicable for online employment [7,11]; or rely on precise knowledge on the timing information of software tasks in the remote sender node, which is ill-suited for CAN where nodes are unsynchronized [19].…”
Section: Introductionmentioning
confidence: 99%
“…The work by Buttazzo et al [15] and its generalization in [16] present an elastic work model based on a tasks defined using a tuple (C, T, T min , T max , e) where T is the period that the task requires, while T min and T max define the max and min periods that a task can accept. Our transformations allows us to serve workloads under completely different (C, T ) server supplied resources.…”
Section: Related Workmentioning
confidence: 99%