Design and Evaluation of a Portfolio Scheduler for Business-Critical Workloads Hosted in Cloud Datacenters

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Abstract

Virtualized multi-cluster, multi-datacenter datacenters are central to the digital economy, but require new techniques to address increasing scales, changing architectures, and dynamic workloads. Especially the introduction of new Business-Critical workloads that we characterize, create new resource management challenges. We propose a resource management and scheduling architecture that uses resources efficiently and reduces the risk of low performance. For this we create and evaluate a portfolio scheduler that is adapted to support multi-cluster, multi-datacenter architectures.

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