Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 3/2013

01.12.2013

Analysis of virtual machine live-migration as a method for power-capping

verfasst von: Jinkyu Jeong, Sung-Hun Kim, Hwanju Kim, Joonwon Lee, Euiseong Seo

Erschienen in: The Journal of Supercomputing | Ausgabe 3/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

To reduce the construction cost of the power-supplying infrastructure in data centers and to increase the utilization of the existing one, many researchers have introduced software-based or hardware-based power-capping schemes. In servers with consolidated virtual machines, which can be easily found in cloud systems, exporting virtual machines to other light-loaded servers through live-migration is one of the key approaches to impose power-capping on servers. Up until now, most researchers who have tried to achieve power-capping through live-migration assumed that exporting a virtual machine instantly reduces the server power consumption. However, our analysis introduced in this paper reveals that the power consumption remains high or increases for a few seconds during a migration instance. This behavior contradicts the aim of power-capping, and may endanger the stability of servers. Based on this observation, we also propose and evaluate two power-suppressing live-migration schemes to resolve the power overshooting issue. Our evaluation shows that both approaches immediately limit the power consumption after live-migration is initiated.
Vorheriger Artikel Light-weight kernel instrumentation framework using dynamic binary translation
Nächster Artikel Measurement study on P2P streaming systems

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Ackaouy E (2006) The Xen Credit CPU scheduler. In: Proceedings of 2006 Fall Xen Summit
2.
Armbrust M, Fox A, Griffith R, Joseph AD, Katz RH, Konwinski A, Lee G, Patterson DA, Rabkin A, Stoica I, Zaharia M (2009) Above the clouds: a Berkeley view of cloud computing. Technical report UCB/EECS-2009-28, UC Berkeley
3.
Barham P, Dragovic B, Fraser K, Hand S, Harris T, Ho A, Neugebauer R, Pratt I, Warfield A (2003) Xen and the art of virtualization. In: Proceedings of the nineteenth ACM symposium on operating systems principles
4.
Choi J, Govindan S, Jeong J, Urgaonkar B, Sivasubramaniam A (2010) Power consumption prediction and power-aware packing in consolidated environments. IEEE Trans Comput 59:1640–1654 MathSciNetCrossRef
5.
Choi J, Govindan S, Urgaonkar B, Sivasubramaniam A (2008) Profiling, prediction, and capping of power consumption in consolidated environments. In: IEEE international symposium on modeling, analysis and simulation of computers and telecommunication systems, MASCOTS 2008.
6.
Clark C, Fraser K, Hand S, Hansen JG, Jul E, Limpach C, Pratt I, Warfield A (2005) Live migration of virtual machines. In: Proceedings of the 2nd conference on symposium on networked systems design & implementation, NSDI’05, Berkeley, CA, USA. USENIX Association, Berkeley, pp 273–286
7.
Cochran R, Hankendi C, Coskun AK, Reda S (2011) Pack & cap: adaptive DVFS and thread packing under power caps. In: Proceedings of the 44th annual IEEE/ACM international symposium on microarchitecture
8.
Das T, Padala P, Padmanabhan V, Ramjee R, Shin KG (2010) Litegreen: saving energy in networked desktops using virtualization. In: Proceedings of USENIX annual technical conference, Usenix ATC’10
9.
Fan X, Weber W-D, Barroso LA (2007) Power provisioning for a warehouse-sized computer. In: Proceedings of the 34th annual international symposium on computer architecture, ISCA’07
10.
Gandhi A, Harchol-Balter M, Das R, Kephart JO, Lefurgy C (2009) Power capping via forced idleness. In: Proceedings of workshop on energy-efficient design, WEED’09
11.
Gove D (2007) Cpu2006 working set size. Comput Archit News 35(1):90–96 CrossRef
12.
Govindan S, Choi J, Urgaonkar B, Sivasubramaniam A, Baldini A (2009) Statistical profiling-based techniques for effective power provisioning in data centers. In: Proceedings of the 4th ACM European conference on computer systems, EuroSys’09. ACM, New York, pp 317–330 CrossRef
13.
14.
Hewlett-Packard Development Company, LP (2011) HP power capping and HP dynamic power capping for ProLiant servers, 2nd edn. Technology brief TC110107TB, Hewlett-Packard Development Company, LP
15.
Hines MR, Gopalan K (2009) Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning. In: Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on virtual execution environments, VEE’09. ACM, New York, pp 51–60 CrossRef
16.
Hirofuchi T, Nakada H, Itoh S, Sekiguchi S (2010) Enabling instantaneous relocation of virtual machines with a lightweight vmm extension. In: 10th IEEE/ACM international conference on cluster, cloud and grid computing, CCGrid’10, pp 73–83 CrossRef
17.
Hirofuchi T, Nakada H, Itoh S, Sekiguchi S (2011) Making VM consolidation more energy-efficient by postcopy live migration. In: Proceedings of the second international conference on cloud computing, GRIDs, and virtualization
18.
Huang Q, Gao F, Wang R, Qi Z (2011) Power consumption of virtual machine live migration in clouds. In: Third international conference on communications and mobile computing, CMC’11, pp 122–125 CrossRef
19.
Jenkins D (2009) Intel intelligent power node manager. White paper 322705-002US, Intel Corporation
20.
Jin H, Gao W, Wu S, Shi X, Wu X, Zhou F (2011) Optimizing the live migration of virtual machine by CPU scheduling. J Netw Comput Appl 34(4):1088–1096 CrossRef
21.
Kansal A, Zhao F, Liu J, Kothari N, Bhattacharya AA (2010) Virtual machine power metering and provisioning. In: Proceedings of the 1st ACM symposium on cloud computing
22.
Kozuch M, Satyanarayanan M (2002) Internet suspend/resume. In: Proceedings of the fourth IEEE workshop on mobile computing systems and applications
23.
Lagar-Cavilla HA, Whitney JA, Scannell AM, Patchin P, Rumble SM, de Lara E, Brudno M, Satyanarayanan M (2009) Snowflock: rapid virtual machine cloning for cloud computing. In: Proceedings of the 4th ACM European conference on computer systems
24.
Lee Y, Zomaya A (2012) Energy efficient utilization of resources in cloud computing systems. J Supercomput 60:268–280 CrossRef
25.
Lefèvre L, Orgerie A-C (2010) Designing and evaluating an energy efficient cloud. J Supercomput 51:352–373 CrossRef
26.
Lefurgy C, Wang X, Allen-Ware M (2007) Server-level power control. In: Proceedings of the fourth international conference on autonomic computing
27.
Lefurgy C, Wang X, Allen-Ware M (2008) Power capping: a prelude to power shifting. Clust Comput 11:183–195 CrossRef
28.
Lim H, Kansal A, Liu J (2011) Power budgeting for virtualized data centers. In: Proceedings of the 2011 USENIX conference on USENIX annual technical conference, USENIXATC’11. USENIX Association, Berkeley, p 5
29.
Liu H, Jin H, Liao X, Hu L, Yu C (2009) Live migration of virtual machine based on full system trace and replay. In: Proceedings of the 18th ACM international symposium on high performance distributed computing
30.
Liu H, Xu C-Z, Jin H, Gong J, Liao X (2011) Performance and energy modeling for live migration of virtual machines. In: Proceedings of the 20th international symposium on high performance distributed computing, HPDC’11. ACM, New York, pp 171–182
31.
Mitchell-Jackson J, Koomey J, Nordman B, Blazek M (2003) Data center power requirements: measurements from silicon valley. Energy 28(8):837–850 CrossRef
32.
Nathuji R, Schwan K (2008) VPM tokens: virtual machine-aware power budgeting in datacenters. In: Proceedings of the 17th international symposium on high performance distributed computing, HPDC’08, pp 119–128 CrossRef
33.
Nelson M, Lim B-H, Hutchins G (2005) Fast transparent migration for virtual machines. In: Proceedings of Usenix annual technical conference, Usenix ATC’05
34.
Raghavendra R, Ranganathan P, Talwar V, Wang Z, 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 XIII. ACM, New York, pp 48–59 CrossRef
35.
Rasmussen N (2010) Implementing energy efficient data centers. APC white paper, no 114, rev 1
36.
Sapuntzakis CP, Chandra R, Pfaff B, Chow J, Lam MS, Rosenblum M (2002) Optimizing the migration of virtual computers. Oper Syst Rev 36:377–390 CrossRef
37.
Seo E, Jeong J, Park S, Lee J (2008) Energy efficient scheduling of real-time tasks on multicore processors. IEEE Trans Parallel Distrib Syst 19:1540–1552 CrossRef
38.
Sharifi M, Salimi H, Najafzadeh M (2012) Power-efficient distributed scheduling of virtual machines using workload-aware consolidation techniques. J Supercomput 61:46–66 CrossRef
39.
Verma A, Kumar G, Koller R, Sen A (2011) Cosmig: modeling the impact of reconfiguration in a cloud. In: Proceedings of the 2011 IEEE 19th annual international symposium on modelling, analysis, and simulation of computer and telecommunication systems, MASCOTS’11. IEEE Comput Soc, Washington, pp 3–11 CrossRef
40.
Voorsluys W, Broberg J, Venugopal S, Buyya R (2009) Cost of virtual machine live migration in clouds: a performance evaluation. In: Proceedings of the 1st international conference on cloud computing
41.
Wang Z, Zhu X, McCarthy C, Ranganathan P, Talwar V (2008) Feedback control algorithms for power management of servers. In: Proceedings of the third international workshop on feedback control implementation and design in computing systems and networks
42.
Ware M, Rajamani K, Floyd M, Brock B, Rubio JC, Rawson F, Carter JB (2010) Architecting for power management: the IBM® Power7™ approach. In: Proceedings of the 16th international symposium on high performance computer architecture
Metadaten
Titel
Analysis of virtual machine live-migration as a method for power-capping
verfasst von
Jinkyu Jeong
Sung-Hun Kim
Hwanju Kim
Joonwon Lee
Euiseong Seo
Publikationsdatum
01.12.2013
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 3/2013
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-013-0956-1

Weitere Artikel der Ausgabe 3/2013

The Journal of Supercomputing 3/2013 Zur Ausgabe

OriginalPaper

Semi-sparse algorithm based on multi-layer optimization for recommender system

OriginalPaper

Adapting grid computing environments dependable with virtual machines: design, implementation, and evaluations

OriginalPaper

Architecture and design of high-throughput, low-latency, and fault-tolerant routing algorithm for 3D-network-on-chip (3D-NoC)

OriginalPaper

Petri net based Grid workflow verification and optimization

OriginalPaper

Negotiation strategies considering market, time and behavior functions for resource allocation in computational grid

OriginalPaper

Data center selection based on neuro-fuzzy inference systems in cloud computing environments

Premium Partner

    Bildnachweise