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Adapting Server-Resource Assignments in Data Centers Based on Time-Interval Clustering (Abstract Only)


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Setzer, Thomas:
Adapting Server-Resource Assignments in Data Centers Based on Time-Interval Clustering (Abstract Only).
In: Multikonferenz Wirtschaftsinformatik (MKWI), Paderborn, Germany, 26.-28. Februar 2014. - Paderborn, 2014. - S. 2005
ISBN 978-3-00-045311-3


In today's virtualized data centers, energy consumption of running servers is one of the key cost drivers. Typically, enterprise applications are hosted in virtual machines (VM), which are co-hosted on the same physical server to reduce the server count. Live-migration of VMs can lead to additional savings by temporarily shrinking the server park. For example, at night time workloads of most applications are lower and a smaller number of servers would be sufficient to host the applications. On the other hand, migrations require a significant amount of CPU and memory resources on the physical servers and administrators prefer stable allocations, which require reassignments only in a prespecified number of time-periods. We cluster features from large volumes of workload traces, which allows for determining (near-) optimal time periods where reassignments are beneficial. The approach is evaluated in numerical experiments based on workload data from a professional data center.

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Publikationsform:Aufsatz in einem Buch
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik
Titel an der KU entstanden:Nein
Eingestellt am:23. Sep 2020 14:26
Letzte Änderung:06. Okt 2020 15:16
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/25196/