DocumentCode
18956
Title
Self-Expressive Management of Business-Critical Workloads in Virtualized Datacenters
Author
van Beek, Vincent ; Donkervliet, Jesse ; Hegeman, Tim ; Hugtenburg, Stefan ; Iosup, Alexandru
Volume
48
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
46
Lastpage
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.
Keywords
business data processing; computer centres; resource allocation; risk analysis; virtualisation; Mnemos resource management; portfolio scheduling; scheduling architecture; self-expressive business-critical workload management; state information; topology-aware virtual-resource management; virtualized data centers; workload changes; Big data; Computer architecture; Data centers; Dynamic scheduling; Monitoring; Processor scheduling; Resource management; Mnemos; business-critical workloads; job scheduling; resource management; self-awareness; self-expressive computing; self-expressive scheduling; virtualized datacenters; workload scheduling;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2015.206
Filename
7163252
Link To Document