Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters

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Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters

Journal Article (2015)

Author(s)

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)

DOI related publication

https://doi.org/10.1109/MC.2015.206 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:8bc1439c-d776-4f11-9e36-c107a1a093ec

More Info

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Publication Year

2015

Language

English

Issue number

7

Volume number

48

Pages (from-to)

46-54

Downloads counter

185

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.