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Game Theoretic approach to energy efficiency

Game Theoretic approach to energy efficiency. Socially-aware Management of New Overlay Application Traffic combined with Energy Efficiency in the Internet European Seventh Framework STREP FP7-2012-ICT-317846. http://www.smartenit.eu. Mateusz Wielgosz, Krzysztof Wajda, AGH

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Game Theoretic approach to energy efficiency

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  1. GameTheoreticapproach to energy efficiency Socially-aware Management of New Overlay Application Traffic combined with Energy Efficiency in the Internet European Seventh Framework STREP FP7-2012-ICT-317846 http://www.smartenit.eu Mateusz Wielgosz, Krzysztof Wajda, AGH KrakowMeeting, June3, 2013

  2. Goal • Reduction of energy consumption via loadaggregation and turningoffphysicalmachines. • Savingsareconsiderable as idleserver(in stand-by mode) canuseup to 66% energy of fully-loadedmachine. • MainstakeholdersherearetheIaaSproviders,potentialinterference forusersshould be keptto a minimum.

  3. Assumptions • We consideronly single resourcetype on PhysicalMachines (PM) and allVirtualMachines (VM) seekthisresource (e.g. processingpower). • VMsare independent. • Cloud hassufficientcapacity to satisfyalldemands. • VM is to be hosted on single PM (VM/demandis not divisible) • Proposedsolutionisdecentralized, but we show howitcould be integratedwithS-Box

  4. Model and game • P = {P1, P2,…, Pj,…, P|P|}, PjcansupplyCj resources. • V = {V1, V2,…, Vi,…, V|V|}, Videmands Di resources. • Lj – totalresourceutilization of Pj. • PM energy consumptionWj= ΣWiDi + Widle • VM „energy efficiency” A(Pj)=Di/Lj • Players: VM Strategy:pick PM Utility:„Energy efficiency”

  5. Procedure • PhysicalMachines (PM): • TrackyourLj (sum currentDi’s) • PrompthousedVMs to check random PM whenever VM leav6es orjoinsthis PM (alt. onlywhenleaves) • (alt) SendLjto S-Box • VirtualMachines (VM): • Initialpick (random by default, alt. recommended by S-Box) • Check random PM whenprompted by PM. (alt. checkS-Box) • Migrate to another PM ifenergy efficiencythereislower by giventhreshold. • Thresholdisused not only to aviodunnecessarymigrations, but also to balancepowersavings and delaycaused by migration.

  6. Chainmigration • Migrationdecreases energy efficiencycostat a local PM and increasesefficiencyattheremote PM. • Di/Lloc < Di/(Lloc- Dx) Di/Lrem > Di/(Lrem+ Dx) • Thereforemigrating VM canleavenew PM addressbehind, for nextVMs. Addressiswipedwhen first VM usesit, otherVMscheck random PM. • Ifremote PM stillhasenough resources it’saddress will be leftbehindagain by second VM. • Ifremote PM is „full”, thenitispossiblethatotherprobingVMs will find PM withlowerpowercost.

  7. Pros and Cons for S-Boxinvolvement • Pros • Better performance • Betterallocationfrom start of theprocedure • Cons • Decentralized • No additionalinfrastructure • No synchronisation

  8. To be adressed • Dynamics – potentialarea for socialawareness. • Migrationcost – powersavingsvs. userdelay.

  9. References • H. Khani, N. Yazdani, S. Mohammadi “Power-AwareGame for Cloud Computing” 6th International Symposium on Telecommunications, 2012. • D. Vesick, D. Tavangarian „Reducing Energy Consumption by LoadAggregationwith an OptimizedDynamic Live Migration of VirtualMachines” 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2010. • A. Gandhi, R. Das, M. Harchol-Balter, C. Lefurgy „Optimal Power Allocationin Server Farms” SIGMETRICS/Performance’09, 2009. • M. Harchol-Balter „Power Management in Data Centers” PROBE 2011.

  10. Thankyou ! Questions?

  11. Backup slides 2

  12. Backup slides 1

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