Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters
Vincent van Beek (ASP4ALL Bitbrains)
Jesse Donkervliet (Student TU Delft)
Tim Hegeman (TU Delft - Data-Intensive Systems)
Stefan Hugtenburg (Student TU Delft)
Alexandru Iosup: (TU Delft - Data-Intensive Systems)
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Abstract
The Mnemos resource management and scheduling architecture uses portfolio scheduling, topology-aware virtual-resource management, and state information to self-adapt to significant workload changes and to analyze risks. Simulations with real-world workload traces reveal the potential for significant cost savings.
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