Divide the task, multiply the outcome: cooperative VM consolidation
2014 (English)In: Proceedings of The 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), IEEE conference proceedings, 2014, , 6 p.300-305 p.Conference paper (Refereed)
Efficient resource utilization is one of the mainconcerns of cloud providers, as it has a direct impact onenergy costs and thus their revenue. Virtual machine (VM)consolidation is one the common techniques, used by infrastruc-ture providers to efficiently utilize their resources. However,when it comes to large-scale infrastructures, consolidationdecisions become computationally complex, since VMs aremulti-dimensional entities with changing demand and unknownlifetime, and users often overestimate their actual demand.These uncertainties urges the system to take consolidationdecisions continuously in a real time manner.In this work, we investigate a decentralized approach forVM consolidation using Peer to Peer (P2P) principles. Weinvestigate the opportunities offered by P2P systems, as scalableand robust management structures, to address VM consol-idation concerns. We present a P2P consolidation protocol,considering the dimensionality of resources and dynamicityof the environment. The protocol benefits from concurrencyand decentralization of control and it uses a dimension awaredecision function for efficient consolidation. We evaluate theprotocol through simulation of 100,000 physical machinesand 200,000 VM requests. Results demonstrate the potentialsand advantages of using a P2P structure to make resourcemanagement decisions in large scale data centers. They showthat the P2P approach is feasible and scalable and producesresource utilization of 75% when the consolidation aim is 90%.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. , 6 p.300-305 p.
Cloud computing, Peer to Peer, Gossip protocols, VM consolidation, Resource management
Engineering and Technology
Research subject Computing Science
IdentifiersURN: urn:nbn:se:umu:diva-98898DOI: 10.1109/CloudCom.2014.81OAI: oai:DiVA.org:umu-98898DiVA: diva2:783995
The 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), 15-18 Dec. 2014 Singapore