Pay-as-you-go is a popular billing model based on users’ resource usage in the cloud. A user’s demand is often changing over time, indicating that it is difficult to keep the high resource utilization all the time for cost efficiency. Resource sharing is an effective approach for high resource utilization. In view of the heterogeneous resource demands of workloads in the cloud, multi-resource allocation fairness is a must for resource sharing in cloud computing. MRYARN is proposed for multi-resource fair allocation on the cloud. It ensures that each user in cloud computing can at least get the amount of total resources as that under the exclusively non-sharing environment in the long term. Moreover, MRYARN can guarantee that no users can get more amount of total allocated resources over time by lying their demands. Finally, MRYARN has a mechanism to discourage users to submit cost-inefficient workloads, especially when there are some idle resources they truly do not need.
MRYARN
Multi-Resource YARN (MRYARN) Fair Scheduler for Cloud Computing
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