A balanced scheduler with data reuse and replication for scientific workflows in cloud computing systems
Cloud computing provides substantial opportunities to researchers who demand pay-as-you-go computing systems. Although cloud provider (e.g., Amazon Web Services) and application provider (e.g., biologists, physicists, and online gaming companies) both have specific performance requirements (e.g. application response time), it is the cloud scheduler’s responsibility to map the application to underlying cloud resources. This article presents a Balanced and file Reuse–Replication Scheduling...[Show more]
|Collections||ANU Research Publications|
|Source:||Future Generation Computer Systems|
|01_Casas_A_balanced_scheduler_with_data_2017.pdf||2.2 MB||Adobe PDF||Request a copy|
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