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The prosperity of cloud computing offers commoninfrastructures to a wide range of applications. Understandingthese applications’ workload behaviors is the premise of designing,managing, and optimizing cloud systems. Considering theheterogeneity and diversity of cloud workloads, for the sake offairness, cloud benchmarks must be able to accurately replicatetheir behaviors in cloud systems, including...
The scheduling of multitask jobs on clouds is an NP-hard problem. The problem becomes even worse when complex workflows are executed on elastic clouds, such as Amazon EC2 or IBM RC2. The main difficulty lies in the large search space and high overhead of generating optimal schedules, especially for real-time applications with dynamic workloads. In this work, a new iterative ordinal optimization (IOO)...
Elastic compute clouds are best represented by the virtual clusters in Amazon EC2 or in IBM RC2. This paper proposes a simulation based approach to scheduling scientific workflows onto elastic clouds. Scheduling multitask workflows in virtual clusters is a NP-hard problem. Excessive simulations in months of time may be needed to produce the optimal schedule using Monte Carlo simulations. To reduce...
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