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Abstract: this paper we take a di#erent approach. While the choice of cost function for a particular system is often ad hoc, it is more natural to associate an average response time objective with each class and consider its performance relative to the objective. Specically, let # # be the response time objective and let # denote the long-run average response time (assuming it exists) of class # customers under a scheduling policy #. Attention is restricted to the class # of non-idling,... (Update)
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...the themes used for achieving the minimization. For a discussion of a transposed version of the first approach, the reader is referred to [1]. The results given in [1] apply mutatis mutandis to some extent to our situation, because user classes may be interpreted as cost...
...of goals. Some results are available on this direction in the simple case of a single CPU server with multiple classes of work, see [BGTV92]. Another approach is to endow units of work or classes of them, or even sets of classes (for example, representing work emanating from a...
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BibTeX entry: (Update)
P.P. Bhattacharya, L. Georgiadis, P. Tsoucas, and I. Viniotis. Adaptive lexicographic optimization in multi-class M/GI/1 queues. Mathematics of Operations Research, 18(3):705--740, August 1993. http://citeseer.ist.psu.edu/710153.html More
@misc{ bhattacharya93adaptive,
author = "P.P. Bhattacharya and L. Georgiadis and P. Tsoucas and et al.",
title = "Adaptive Lexicographic Optimization in Multi-Class M/GI/1 Queues",
text = "P.P. Bhattacharya, L. Georgiadis, P. Tsoucas, and I. Viniotis. Adaptive
lexicographic optimization in multi-class M/GI/1 queues. Mathematics of
Operations Research, 18(3):705--740, August 1993.",
year = "1993",
url = "citeseer.ist.psu.edu/710153.html" }
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