- Page 1: Lecture Notes in Computer Science 2
- Page 5 and 6: Preface This volume contains the pa
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- Page 9 and 10: 2 M.E. Crovella 2 Evidence The evid
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- Page 19 and 20: 12 M. Harchol-Balter et al. indepen
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- Page 29 and 30: 22 A.B. Yoo and M.A. Jette componen
- Page 31 and 32: 24 A.B. Yoo and M.A. Jette The DCS
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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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60 F. Giné etal. 5/64 5/32 5/16 5/
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62 F. Giné etal. 30000 25000 20000
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64 F. Giné etal. In this paper, a
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The Influence of Communication on t
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68 A.I.D. Bucur and D.H.J. Epema th
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70 A.I.D. Bucur and D.H.J. Epema by
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72 A.I.D. Bucur and D.H.J. Epema ut
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74 A.I.D. Bucur and D.H.J. Epema In
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76 A.I.D. Bucur and D.H.J. Epema Ta
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78 A.I.D. Bucur and D.H.J. Epema ba
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80 A.I.D. Bucur and D.H.J. Epema Av
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82 A.I.D. Bucur and D.H.J. Epema ex
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84 A.I.D. Bucur and D.H.J. Epema fr
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86 A.I.D. Bucur and D.H.J. Epema 2.
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88 D. Jackson, Q. Snell, and M. Cle
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90 D. Jackson, Q. Snell, and M. Cle
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92 D. Jackson, Q. Snell, and M. Cle
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94 D. Jackson, Q. Snell, and M. Cle
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96 D. Jackson, Q. Snell, and M. Cle
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98 D. Jackson, Q. Snell, and M. Cle
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100 D. Jackson, Q. Snell, and M. Cl
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102 D. Jackson, Q. Snell, and M. Cl
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104 B.B. Zhou and R.P. Brent divide
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106 B.B. Zhou and R.P. Brent though
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108 B.B. Zhou and R.P. Brent s l o
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110 B.B. Zhou and R.P. Brent It is
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112 B.B. Zhou and R.P. Brent s l o
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114 B.B. Zhou and R.P. Brent simult
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Effects of Memory Performance on Pa
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118 G.E. Suh, L. Rudolph, and S. De
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120 G.E. Suh, L. Rudolph, and S. De
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122 G.E. Suh, L. Rudolph, and S. De
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124 G.E. Suh, L. Rudolph, and S. De
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126 G.E. Suh, L. Rudolph, and S. De
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128 G.E. Suh, L. Rudolph, and S. De
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130 G.E. Suh, L. Rudolph, and S. De
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132 G.E. Suh, L. Rudolph, and S. De
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134 Y. Zhang et al. We analyze thre
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136 Y. Zhang et al. Our modeling pr
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138 Y. Zhang et al. Total CPU time
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140 Y. Zhang et al. 3 The Impact of
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142 Y. Zhang et al. Average job wai
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144 Y. Zhang et al. 4. FillMatrix:
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146 Y. Zhang et al. not violate any
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148 Y. Zhang et al. Average job slo
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150 Y. Zhang et al. Average job slo
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152 Y. Zhang et al. The migration f
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154 Y. Zhang et al. improvement is
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156 Y. Zhang et al. Loss of capacit
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158 Y. Zhang et al. 10. B. Gorda an
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160 S.-H. Chiang and M.K. Vernon sc
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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