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Advances, Systems and Applications

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Table 1 System and Workload Parameters for the Factor-at-a-Time Experiments

From: A resource management technique for processing deadline-constrained multi-stage workflows

Parameter Values Default Value
Workload   
 Type {CyberShake, LIGO, Genome}
 Job arrival rate (job/s) λCS = {1/18, 1/22, 1/30}
λLG = {1/150, 1/180, 1/265}
λGN = {1/1800, 1/2290, 1/3205}
λCS = 1/22
λLG = 1/180
λGN = 1/2290
 Earliest start time of jobs, s j (sec) \( {s}_j=\left\{\begin{array}{c}{at}_j,\kern7.75em x=0\\ {}{at}_j+ DU\left(1,{s}_{max}\right)\kern0.75em x=1\end{array}\right. \)
where at j is the arrival time of job j, x ~ Bernoulli(0.5), and s max  = {1, 5, 25} * 104
s max  = 50,000
 Job Deadline, d j (sec) \( {d}_j=\left\lceil {s}_j+{SET_j^R}^{\ast } em\right\rceil \) where
em ~ U(1, em max ) and em max  = {2, 5, 10}
em max  = 5
System   
 Number of Resources, m m = {40, 50,60} m = 50
 Resource Capacity c r  = 2
Configuration of RM-DCWF   
 Laxity Distribution Algorithm {PD, ED}
 Approach to calculate the job laxity {SL, TL}
 Task Scheduling Policy {TSP1, TSP2}