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

van Beek, Vincent; Donkervliet, Jesse; Hegeman, Tim; Hugtenburg, S.; Iosup, Alexandru

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

Journal article (2015)

Authors

Vincent van Beek ASP4ALL Bitbrains

Jesse Donkervliet Student

Tim Hegeman Data-Intensive Systems

S. Hugtenburg Student

Alexandru Iosup Data-Intensive Systems

Research Group

Data-Intensive Systems

To reference this document use:

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

More Info

expand_more

Published Date

2015

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Data-Intensive Systems

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.

No files available

Metadata only record. There are no files for this journal article.