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)
T.M. Hegeman (TU Delft - Data-Intensive Systems)
S. Hugtenburg (Student TU Delft)
A Iosup (TU Delft - Data-Intensive Systems)
Research Group
Data-Intensive Systems
DOI related publication
https://doi.org/10.1109/MC.2015.206
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
Research Group
Data-Intensive Systems
Issue number
7
Volume number
48
Pages (from-to)
46-54
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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