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Continuous Datacenter Consolidation
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Vise andre og tillknytning
2015 (engelsk)Inngår i: 2015 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2015, s. 387-396Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Efficient mapping of Virtual Machines (VMs) onto physical servers is a key problem for cloud infrastructure providers as hardware utilization directly impacts profit. Today, this mapping is commonly only performed when new VMs are created, but as VM workloads fluctuate and server availability varies, any initial mapping is bound to become suboptimal over time. We introduce a set of heuristic methods for continuous optimization of the VM-to-server mapping based on combinations of fundamental management actions, namely suspending and resuming physical machines, migrating VMs, and suspending and resuming VMs. By using these methods, cloud infrastructure providers can continuously optimize their server resources regardless of the predictability of the workload. To verify that our approach is applicable in real-world scenarios, we build a proof-of-concept datacenter management system that implements the proposed algorithms. The feasibility of our approach is evaluated through a combination of simulations and real experiments where our system provisions a workload of benchmark applications. Our results indicate that the proposed algorithms are feasible, that the combined management approach achieves the best results, and that the VM suspend and resume mechanism has the largest impact on provider profit.

sted, utgiver, år, opplag, sider
2015. s. 387-396
Emneord [en]
Cloud Computing, Scheduling, Heuristic Methods, Consolidation, VM Migration, Power Management
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-125614DOI: 10.1109/CloudCom.2015.11ISI: 000380458100051ISBN: 978-1-4673-9560-1 (tryckt)OAI: oai:DiVA.org:umu-125614DiVA, id: diva2:1032957
Konferanse
IEEE 7th International Conference on Cloud Computing Techonology and science, Vancouver, Canada, Nov 30-Dec 03, 2015.
Tilgjengelig fra: 2016-10-05 Laget: 2016-09-13 Sist oppdatert: 2018-06-09bibliografisk kontrollert

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