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Lecture Notes in Computer Science 2
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Dror G. Feitelson Larry Rudolph (Ed
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Preface This volume contains the pa
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Agrawal, M., 11 Bansal, N., 11 Bren
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2 M.E. Crovella 2 Evidence The evid
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4 M.E. Crovella when X is a heavy t
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6 M.E. Crovella delay [43] although
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8 M.E. Crovella 6. Andrei Broder, R
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10 M.E. Crovella 43. R. W. Weber. O
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12 M. Harchol-Balter et al. indepen
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14 M. Harchol-Balter et al. - Given
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16 M. Harchol-Balter et al. Since t
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18 M. Harchol-Balter et al. - There
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20 M. Harchol-Balter et al. 31. S.
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22 A.B. Yoo and M.A. Jette componen
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24 A.B. Yoo and M.A. Jette The DCS
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26 A.B. Yoo and M.A. Jette report o
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28 A.B. Yoo and M.A. Jette A few ne
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30 A.B. Yoo and M.A. Jette The task
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32 A.B. Yoo and M.A. Jette if (the
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34 A.B. Yoo and M.A. Jette Mean Job
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36 A.B. Yoo and M.A. Jette executio
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38 A.B. Yoo and M.A. Jette one of t
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40 A.B. Yoo and M.A. Jette 24. S. P
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42 F. Giné etal. be made taking im
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44 F. Giné etal. Execution time(s)
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46 F. Giné etal. nization grows mo
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48 F. Giné etal. Some studies [24,
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50 F. Giné etal. every time a page
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52 F. Giné etal. Local RQ[∞]:=ta
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54 F. Giné etal. tasks, small and
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56 F. Giné etal. - Slowdown: It is
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58 F. Giné etal. Fig. 6 shows the
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162 S.-H. Chiang and M.K. Vernon Ta
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Table 4. Total Monthly Processor an
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166 S.-H. Chiang and M.K. Vernon be
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168 S.-H. Chiang and M.K. Vernon to
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170 S.-H. Chiang and M.K. Vernon Pr
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172 S.-H. Chiang and M.K. Vernon cu
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174 S.-H. Chiang and M.K. Vernon me
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176 S.-H. Chiang and M.K. Vernon cu
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178 S.-H. Chiang and M.K. Vernon ac
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180 S.-H. Chiang and M.K. Vernon cu
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182 S.-H. Chiang and M.K. Vernon pe
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184 S.-H. Chiang and M.K. Vernon pr
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186 S.-H. Chiang and M.K. Vernon ch
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Metrics for Parallel Job Scheduling
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190 D.G. Feitelson cummulative prob
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192 D.G. Feitelson Downey has propo
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194D.G. Feitelson LANL-CM5: jobs pe
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196 D.G. Feitelson average response
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198 D.G. Feitelson with very long j
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200 D.G. Feitelson avg bnd-sld 600
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202 D.G. Feitelson 95% confidence i
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204D.G. Feitelson faster convergenc
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Agrawal, M., 11 Bansal, N., 11 Bren