Abstract
In this paper we are concerned with real-time operating system services which provide for deadlock-free and starvation-free access to distributed resources that may be replicated or exist in different versions. We define and discuss novel distributed resource scheduling algorithms which provide the support for efficient real-time operations on replicated distributed files, realizing them in the manner of distributed atomic real-time transactions. After constructing a base line algorithm, called Simultaneous Enqueuing, we state formally its relevant properties: starvation-freeness and a minimal message overhead. We then enhance this algorithm by mechanisms whichallow for promoting tasks ahead of resource competitors, e.g. because of an earlier deadline. This leads to the Hurry-Up version of Simultaneous Enqueuing. We performed a first series of simulation experiments under varying resource contention and with varying upper bounds for the task laxity, using Partial Ordering resource scheduling as a benchmark. The results are very favorable for the new algorithms which are implemented as part of the kernel services of the real-time version of the distributed operating system DRAGON SLAYER, designed to support its distributed and adaptive replicated file system MELODY.
This work was partially supported by IBM Endicott (Research Agreement No. 6073-86 and 9018-89), by the State of Michigan (IMR-89-146751), and by General Dynamics Land Systems (#DEY-605089).
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© 1991 Springer-Verlag Berlin Heidelberg
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Wedde, H.F., Daniels, D.C., Huizinga, D. (1991). Efficient distributed resource scheduling for adaptive real-time operation support. In: Dehne, F., Fiala, F., Koczkodaj, W.W. (eds) Advances in Computing and Information — ICCI '91. ICCI 1991. Lecture Notes in Computer Science, vol 497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54029-6_210
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DOI: https://doi.org/10.1007/3-540-54029-6_210
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