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Rajkumar Buyya and Manzur Murshed

GridSim: “ Java-based Modelling and Simulation of Deadline and Budget-based Scheduling for Grid Computing”. Rajkumar Buyya and Manzur Murshed. Monash University, Melbourne, Australia www.buyya.com/ecogrid. www.gridcomputing.com. Simulation Parameters. Resources

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Rajkumar Buyya and Manzur Murshed

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  1. GridSim:“Java-based Modelling and Simulation of Deadline and Budget-based Scheduling for Grid Computing” Rajkumar Buyya and Manzur Murshed Monash University, Melbourne, Australia www.buyya.com/ecogrid www.gridcomputing.com

  2. Simulation Parameters • Resources • Cost : cheapest: 10, Expensive: 20 (normal distribution for costing. • Speed: 0.5 to 1.5 (1, standard machine. normal distribution for speed). • Users: • Users job contains 20 tasks with variation of +/-2 with random submission. • Users submitted jobs only after completion of previous job. • Jobs = 20 tasks • Each task takes 50units. • Heterogeneous tasks (future) • Simulation Time = 7*60*60 units (approx.7hours). • As the number of users grows, the probability of getting at least one resource per user, throughout the deadline, decreases. • This low probability demands high (>> 1) D_Factor and B_Factor in order to achieve very high job completion rate.

  3. D-Factor • Any jobwith D_Factor < 0 would never be completed • As long as some resources are available throughout the deadline, any job with D_Factor  1 would always be completed

  4. B-Factor • Any jobwith B_Factor < 0 would never be completed • As long as some resources are available throughout the deadline, any job with B_Factor  1 would always be completed

  5. Job Completion & Time Optimise

  6. Time Utilisation & Time Optimise

  7. Budget Utilisation & Time Optimise

  8. Job Completion & Cost Optimise

  9. Time Utilisation & Cost Optimise

  10. Budget Utilisation & Cost Optimise

  11. Job Completion for Optimise Time

  12. Time Utilisation for Optimise Time

  13. Budget Utilisation for Optimise Time

  14. Job Completion for Optimise Cost

  15. Time Utilisation for Optimise Cost

  16. Budget Utilisation for Optimise Cost

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