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vGreen: A System for Energy-Efficient Management of Virtual Machines

Authors:

Giacomo Marchetti,

Tajana RosingAuthors Info & Claims

ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 16, Issue 1

Article No.: 6, Pages 1 - 27

https://doi.org/10.1145/1870109.1870115

Published: 01 November 2010 Publication History

Abstract

In this article, we present vGreen, a multitiered software system for energy-efficient virtual machine management in a clustered virtualized environment. The system leverages the use of novel hierarchical metrics that work across the different abstractions in a virtualized environment to capture power and performance characteristics of both the virtual and physical machines. These characteristics are then used to implement policies for scheduling and power management of virtual machines across the cluster. We show through real implementation of the system on a state-of-the-art testbed of server machines that vGreen improves both average performance and system-level energy savings by close to 40% across benchmarks with varying characteristics.

References

[1]

Abdelsalam, H. S., Maly, K., Mukkamala, R., Zubair, M., and Kaminsky, D. 2009. Analysis of energy efficiency in clouds. In Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World, 416--421.

Digital Library

[2]

Amazon. 2008. Amazon Elastic Compute Cloud (Amazon EC2). http://aws.amazon.com/ec2/.

[3]

Ayoub, R., Sherifi, S., and Rosing, T. 2010. Gentlecool: Cooling aware proactive workload scheduling in multi-machine systems. In Proceedings of the IEEE Design, Automation Test in Europe (DATE’10).

Digital Library

[4]

Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., Neugebauer, R., Pratt, I., and Warfield, A. 2003. Xen and the art of virtualization. In Proceedings of the 19th ACM Symposium on Operating Systems Principles (SOSP’03). ACM, New York, 164--177.

Digital Library

[5]

Bobroff, N., Kochut, A., and Beaty, K. 2007. Dynamic placement of virtual machines for managing sla violations. In Integrated Network Management. IEEE, 119--128.

[6]

Chase, J. S., Anderson, D. C., Thakar, P. N., Vahdat, A. M., and Doyle, R.P. 2001. Managing energy and server resources in hosting centers. In Proceedings of the 18th ACM Symposium on Operating Systems Principles (SOSP’01). ACM, New York, 103--116.

Digital Library

[7]

Clark, C., Fraser, K., Hand, S., Hansen, J. G., Jul, E., Limpach, C., Pratt, I., and Warfield, A. 2005. Live migration of virtual machines. In Proceedings of the 2nd Conference on Symposium on Networked Systems Design & Implementation (NSDI’’05). USENIX Association, 273--286.

Digital Library

[8]

Dhiman, G., Marchetti, G., and Rosing, T. 2009. vGreen: A system for energy efficient computing in virtualized environments. In Proceedings of the International Symposium on Lower Power Electronics and Design (ISLPED’09). ACM, New York.

Digital Library

[9]

Dhiman, G., Mihic, K., and Rosing, T. 2010. A system for online power prediction in virtualized environments using gaussian mixture models. In Proceedings of the 47th Design Automation Conference (DAC’10). ACM, New York, 807--812.

Digital Library

[10]

Dhiman, G., Pusukuri, K., and Rosing, T. S. 2008. Analysis of dynamic voltage scaling for system level energy management. In Proceedings of the Workshop on Power Aware Computing and Systems (HotPower’08).

Digital Library

[11]

Dhiman, G. and Rosing, T. S. 2007. Dynamic voltage frequency scaling for multi-tasking systems using online learning. In Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED’07). ACM, New York, 207--212.

Digital Library

[12]

Fan, X., Weber, W.-D., and Barroso, L. A. 2007. Power provisioning for a warehouse-sized computer. In Proceedings of the 34th Annual International Symposium on Computer Architecture (ISCA’07). ACM, New York, 13--23.

Digital Library

[13]

Ge, R., Feng, X., Feng, W.-C., and Cameron, K. W. 2007. Cpu miser: A performance-directed, run-time system for power-aware clusters. In Proceedings of the International Conference on Parallel Processing (ICPP’07). IEEE Computer Society, 18.

Digital Library

[14]

Haletky, E. L. 2008. VMware ESX Server in the Enterprise: Planning and Securing Virtualization Servers. Prentice Hall.

Digital Library

[15]

Hermenier, F., Lorca, X., Menaud, J.-M., Muller, G., and Lawall, J. 2009. Entropy: a consolidation manager for clusters. In Proceedings of the ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE’09). ACM, New York, 41--50.

Digital Library

[16]

IPMI. 2004. Intelligent platform management interface v2.0 specification. http://www.intel.com/design/servers/impi.

[17]

Isci, C., Contreras, G., and Martonosi, M. 2006. Live, runtime phase monitoring and prediction on real systems with application to dynamic power management. In Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO’39). IEEE Computer Society, 359--370.

Digital Library

[18]

Kansal, A., Zhao, F., Liu, J., Kothari, N., and Bhattacharya, A. A. 2010. Virtual machine power metering and provisioning. In Proceedings of the 1st ACM Symposium on Cloud Computing (SoCC’10). ACM, New York, 39--50.

Digital Library

[19]

Knauerhase, R. C., Brett, P., Hohlt, B., Li, T., and Hahn, S. 2008. Using os observations to improve performance in multicore systems. IEEE Micro 28, 3, 54--66.

Digital Library

[20]

Koller, R., Verma, A., and Neogi, A. 2010. Wattapp: An application aware power meter for shared data centers. In Proceeding of the 7th International Conference on Autonomic Computing (ICAC’10). ACM, New York, 31--40.

Digital Library

[21]

Liu, L., Wang, H., Liu, X., Jin, X., He, W. B., Wang, Q. B., and Chen, Y. 2009. Greencloud: a new architecture for green data center. In Proceedings of the 6th International Conference Industry Session on Autonomic Computing and Communications Industry Session (ICAC-INDST’09). ACM, New York, 29--38.

Digital Library

[22]

McNett, M., Gupta, D., Vahdat, A., and Voelker, G. M. 2007. Usher: An extensible framework for managing custers of virtual machines. In Proceedings of the 21st Conference on Large Installation System Administration Conference (LISA’07). USENIX Association, 1--15.

Digital Library

[23]

Meisner, D., Gold, B., and Thomas, W. 2009. Powernap: Eliminating server idle power. In Proceedings of the 14th International Conference on Architectural Support for Programming Languages and Operating Systems.

Digital Library

[24]

Merkel, A. and Bellosa, F. 2006. Balancing power consumption in multiprocessor systems. SIGOPS Oper. Syst. Rev. 40, 4, 403--414.

Digital Library

[25]

Merkel, A., Stoess, J., and Bellosa, F. 2010. Resource-conscious scheduling for energy efficiency on multicore processors. In Proceedings of the 5th European Conference on Computer Systems (EuroSys’10). ACM, New York, 153--166.

Digital Library

[26]

Moore, J., Chase, J., Ranganathan, P., and Sharma, R. 2005. Making scheduling “cool”: Temperature-aware workload placement in data centers. In Proceedings of the Annual Conference on USENIX Annual Technical Conference (ATEC’05). USENIX Association, 5--5.

Digital Library

[27]

Nathuji, R., England, P., Sharma, P., and Singh, A. 2009. Feedback driven qos-aware power budgeting for virtualized servers. In Proceedings of the 4th International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks (FeBID’09).

[28]

Nathuji, R., Kansal, A., and Ghaffarkhah, A. 2010. Q-clouds: Managing performance interference effects for qos-aware clouds. In Proceedings of the 5th European Conference on Computer Systems (EuroSys’10). ACM, New York, 237--250.

Digital Library

[29]

Nathuji, R. and Schwan, K. 2007. Virtualpower: Coordinated power management in virtualized enterprise systems. In Proceedings of 21st ACM SIGOPS Symposium on Operating Systems Principles (SOSP’07). ACM, New York, 265--278.

Digital Library

[30]

Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., and Zagorodnov, D. 2008. The eucalyptus open-source cloud-computing system. In Proceedings of Cloud Computing and Its Applications.

[31]

OpenNebula. Opennebula homepage. http://dev.opennebula.org/

[32]

Pakbaznia, E. and Pedram, M. 2009. Minimizing data center cooling and server power costs. In Proceedings of the International Symposium on Lower Power Electronics and Design (ISLPED’09). ACM, 145--150.

Digital Library

[33]

Raghavendra, R., Ranganathan, P., Talwar, V., Wang, Z., and Zhu, X. 2008. No “power” struggles: Coordinated multi-level power management for the data center. In Proceedings of the 13th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’08). ACM, New York, 48--59.

Digital Library

[34]

Ranganathan, P., Leech, P., Irwin, D., and Chase, J. 2006. Ensemble-level power management for dense blade servers. In Proceedings of the 33rd Annual International Symposium on Computer Architecture (ISCA’06). IEEE Computer Society, 66--77.

Digital Library

[35]

Snavely, A. and Tullsen, D. M. 2000. Symbiotic jobscheduling for a simultaneous mutlithreading processor. SIGPLAN Not. 35, 11, 234--244.

Digital Library

[36]

Stoess, J., Lang, C., and Bellosa, F. 2007. Energy management for hypervisor-based virtual machines. In Proceedings of the USENIX Annual Technical Conference (ATC’07). USENIX Association, 1--14.

Digital Library

[37]

Verma, A., Ahuja, P., and Neogi, A. 2008. Power-Aware dynamic placement of hpc applications. In Proceedings of the 22nd Annual International Conference on supercomputing (ICS’08). ACM, New York, 175--184.

Digital Library

[38]

VMware. 2009. Vmware distributed resource scheduler. http://www.vmware.com/products/drs/

[39]

Wang, L., von Laszewski, G., Tao, J., and Kunze, M. 2009. Grid virtualization engine: design, implementation and evaluation. IEEE Syst. J. 3, 4, 477--488.

[40]

Wang, R. and Kandasamy, N. 2009. A distributed control framework for performance management of virtualized computing environments: Some preliminary results. In Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds (ACDC’09). ACM, New York, 7--12.

Digital Library

[41]

Wood, T., Shenoy, P., and Arun. 2007. Black-Box and gray-box strategies for virtual machine migration. In Proceedings of the ACM Symposium on Networked Systems Design and Implementation (NSDI’07). 229--242.

Digital Library

Cited By

Çağlar İAltılar D(2022)Look-ahead energy efficient VM allocation approach for data centersJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00281-x11:1Online publication date: 19-Mar-2022
https://dl.acm.org/doi/10.1186/s13677-022-00281-x
Mukwevho MCelik T(2021)Toward a Smart Cloud: A Review of Fault-Tolerance Methods in Cloud SystemsIEEE Transactions on Services Computing10.1109/TSC.2018.281664414:2(589-605)Online publication date: 1-Mar-2021
https://doi.org/10.1109/TSC.2018.2816644
Abera SBalakrishnan MKumar A(2020)Performance-Energy Trade-off in Modern CMPsACM Transactions on Architecture and Code Optimization10.1145/342709218:1(1-26)Online publication date: 30-Dec-2020
https://dl.acm.org/doi/10.1145/3427092
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Index Terms

vGreen: A System for Energy-Efficient Management of Virtual Machines
1. Software and its engineering
  1. Software creation and management
    1. Designing software
  2. Software organization and properties
    1. Contextual software domains
      1. Operating systems

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Published In

cover image ACM Transactions on Design Automation of Electronic Systems

ACM Transactions on Design Automation of Electronic Systems Volume 16, Issue 1

November 2010

255 pages

ISSN:1084-4309

EISSN:1557-7309

DOI:10.1145/1870109

Issue’s Table of Contents

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 01 November 2010

Accepted: 01 September 2010

Revised: 01 September 2010

Received: 01 March 2010

Published in TODAES Volume 16, Issue 1

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Cited By

Çağlar İAltılar D(2022)Look-ahead energy efficient VM allocation approach for data centersJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-022-00281-x11:1Online publication date: 19-Mar-2022
https://dl.acm.org/doi/10.1186/s13677-022-00281-x
Mukwevho MCelik T(2021)Toward a Smart Cloud: A Review of Fault-Tolerance Methods in Cloud SystemsIEEE Transactions on Services Computing10.1109/TSC.2018.281664414:2(589-605)Online publication date: 1-Mar-2021
https://doi.org/10.1109/TSC.2018.2816644
Abera SBalakrishnan MKumar A(2020)Performance-Energy Trade-off in Modern CMPsACM Transactions on Architecture and Code Optimization10.1145/342709218:1(1-26)Online publication date: 30-Dec-2020
https://dl.acm.org/doi/10.1145/3427092
Ghiasian ALiu PWang XCollier M(2019)Energy‐efficient operation of a network of OpenFlow switches featuring hardware acceleration and frequency scalingTransactions on Emerging Telecommunications Technologies10.1002/ett.361930:6Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1002/ett.3619
Fraternali FBartolini ACavazzoni CBenini L(2018)Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green SupercomputerIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.276615129:7(1575-1588)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.1109/TPDS.2017.2766151
Vasques TMoura Pde Almeida A(2018)A review on energy efficiency and demand response with focus on small and medium data centersEnergy Efficiency10.1007/s12053-018-9753-212:5(1399-1428)Online publication date: 29-Nov-2018
https://doi.org/10.1007/s12053-018-9753-2
Rani APeddoju S(2017)A workload-aware vm placement algorithm for performance improvement and energy efficiency in OpenStack cloud2017 International Conference on Computing, Communication and Automation (ICCCA)10.1109/CCAA.2017.8229913(841-846)Online publication date: May-2017
https://doi.org/10.1109/CCAA.2017.8229913
Entezari-Maleki RSousa LMovaghar A(2017)Performance and power modeling and evaluation of virtualized servers in IaaS cloudsInformation Sciences: an International Journal10.1016/j.ins.2017.02.024394:C(106-122)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.ins.2017.02.024
Gahlawat MSharma P(2016)Green, Energy-Efficient Computing and Sustainability Issues in CloudManaging and Processing Big Data in Cloud Computing10.4018/978-1-4666-9767-6.ch014(206-217)Online publication date: 2016
https://doi.org/10.4018/978-1-4666-9767-6.ch014
Liu DXiao P(2016)An energy-efficient adaptive resource provision framework for cloud platformsInternational Journal of Computational Science and Engineering10.1504/IJCSE.2016.08021113:4(346-354)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJCSE.2016.080211
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