Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment

Peng Lu; Antonio Barbalace; Roberto Palmieri; Binoy Ravindran

doi:10.1007/978-3-642-54420-0_12

Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment

Peng Lu, Antonio Barbalace, Roberto Palmieri, Binoy Ravindran

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

Load balancing is one of the main challenges in a Virtual Machine (VM) Environment in order to ensure equal utilization of all the available resources while avoiding overloading a subset of machines. In this paper, we propose an efficient load balancing strategy based on VM live migration. Unlike previous work, our strategy records the history of mappings to inform future placement decisions. We also apply a workload-adaptive live migration algorithm in order to minimize VM downtime and improve the user experience. The evaluation shows that our load balancing technique is faster than previous approaches, thus reducing the decision generating latency by as much as 79%. Furthermore, the results also show that we provide minimal downtime. Compared with competitors, our proposed migration mechanism reduces the downtime by up to 73%.

Original language	English
Title of host publication	Euro-Par 2013: Parallel Processing Workshops
Editors	Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario Cannataro, Carsten Clauss, Alexandru Costan, Gabor Kecskemeti, Christine Morin, Laura Ricci, Julio Sahuquillo, Martin Schulz, Vittorio Scarano, Stephen L. Scott, Josef Weidendorfer
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	116-125
Number of pages	10
ISBN (Electronic)	978-3-642-54420-0
ISBN (Print)	978-3-642-54419-4
DOIs	https://doi.org/10.1007/978-3-642-54420-0_12
Publication status	Published - 10 Apr 2014
Event	19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013 - Aachen, Germany Duration: 26 Aug 2013 → 27 Aug 2013

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Publisher	Springer, Berlin, Heidelberg
Volume	8374
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013
Country/Territory	Germany
City	Aachen
Period	26/08/13 → 27/08/13

Access to Document

10.1007/978-3-642-54420-0_12Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007/978-3-642-54420-0_12Licence: All Rights Reserved

Cite this

Lu, P., Barbalace, A., Palmieri, R., & Ravindran, B. (2014). Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment. In D. an Mey, M. Alexander, P. Bientinesi, M. Cannataro, C. Clauss, A. Costan, G. Kecskemeti, C. Morin, L. Ricci, J. Sahuquillo, M. Schulz, V. Scarano, S. L. Scott, & J. Weidendorfer (Eds.), Euro-Par 2013: Parallel Processing Workshops (pp. 116-125). (Lecture Notes in Computer Science (LNCS); Vol. 8374). Springer. https://doi.org/10.1007/978-3-642-54420-0_12

Lu, Peng ; Barbalace, Antonio ; Palmieri, Roberto et al. / Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment. Euro-Par 2013: Parallel Processing Workshops. editor / Dieter an Mey ; Michael Alexander ; Paolo Bientinesi ; Mario Cannataro ; Carsten Clauss ; Alexandru Costan ; Gabor Kecskemeti ; Christine Morin ; Laura Ricci ; Julio Sahuquillo ; Martin Schulz ; Vittorio Scarano ; Stephen L. Scott ; Josef Weidendorfer. Berlin, Heidelberg : Springer, 2014. pp. 116-125 (Lecture Notes in Computer Science (LNCS)).

@inproceedings{ec720f5bda944f2fb398c4be1768d3cb,

title = "Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment",

abstract = "Load balancing is one of the main challenges in a Virtual Machine (VM) Environment in order to ensure equal utilization of all the available resources while avoiding overloading a subset of machines. In this paper, we propose an efficient load balancing strategy based on VM live migration. Unlike previous work, our strategy records the history of mappings to inform future placement decisions. We also apply a workload-adaptive live migration algorithm in order to minimize VM downtime and improve the user experience. The evaluation shows that our load balancing technique is faster than previous approaches, thus reducing the decision generating latency by as much as 79%. Furthermore, the results also show that we provide minimal downtime. Compared with competitors, our proposed migration mechanism reduces the downtime by up to 73%.",

author = "Peng Lu and Antonio Barbalace and Roberto Palmieri and Binoy Ravindran",

year = "2014",

month = apr,

day = "10",

doi = "10.1007/978-3-642-54420-0_12",

language = "English",

isbn = "978-3-642-54419-4",

series = "Lecture Notes in Computer Science (LNCS)",

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pages = "116--125",

editor = "{an Mey}, Dieter and Michael Alexander and Paolo Bientinesi and Mario Cannataro and Carsten Clauss and Alexandru Costan and Gabor Kecskemeti and Christine Morin and Laura Ricci and Julio Sahuquillo and Martin Schulz and Vittorio Scarano and Scott, {Stephen L.} and Josef Weidendorfer",

booktitle = "Euro-Par 2013: Parallel Processing Workshops",

address = "United Kingdom",

note = "19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013 ; Conference date: 26-08-2013 Through 27-08-2013",

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Lu, P, Barbalace, A, Palmieri, R & Ravindran, B 2014, Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment. in D an Mey, M Alexander, P Bientinesi, M Cannataro, C Clauss, A Costan, G Kecskemeti, C Morin, L Ricci, J Sahuquillo, M Schulz, V Scarano, SL Scott & J Weidendorfer (eds), Euro-Par 2013: Parallel Processing Workshops. Lecture Notes in Computer Science (LNCS), vol. 8374, Springer, Berlin, Heidelberg, pp. 116-125, 19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, 26/08/13. https://doi.org/10.1007/978-3-642-54420-0_12

Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment. / Lu, Peng; Barbalace, Antonio; Palmieri, Roberto et al.
Euro-Par 2013: Parallel Processing Workshops. ed. / Dieter an Mey; Michael Alexander; Paolo Bientinesi; Mario Cannataro; Carsten Clauss; Alexandru Costan; Gabor Kecskemeti; Christine Morin; Laura Ricci; Julio Sahuquillo; Martin Schulz; Vittorio Scarano; Stephen L. Scott; Josef Weidendorfer. Berlin, Heidelberg: Springer, 2014. p. 116-125 (Lecture Notes in Computer Science (LNCS); Vol. 8374).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment

AU - Lu, Peng

AU - Barbalace, Antonio

AU - Palmieri, Roberto

AU - Ravindran, Binoy

PY - 2014/4/10

Y1 - 2014/4/10

N2 - Load balancing is one of the main challenges in a Virtual Machine (VM) Environment in order to ensure equal utilization of all the available resources while avoiding overloading a subset of machines. In this paper, we propose an efficient load balancing strategy based on VM live migration. Unlike previous work, our strategy records the history of mappings to inform future placement decisions. We also apply a workload-adaptive live migration algorithm in order to minimize VM downtime and improve the user experience. The evaluation shows that our load balancing technique is faster than previous approaches, thus reducing the decision generating latency by as much as 79%. Furthermore, the results also show that we provide minimal downtime. Compared with competitors, our proposed migration mechanism reduces the downtime by up to 73%.

AB - Load balancing is one of the main challenges in a Virtual Machine (VM) Environment in order to ensure equal utilization of all the available resources while avoiding overloading a subset of machines. In this paper, we propose an efficient load balancing strategy based on VM live migration. Unlike previous work, our strategy records the history of mappings to inform future placement decisions. We also apply a workload-adaptive live migration algorithm in order to minimize VM downtime and improve the user experience. The evaluation shows that our load balancing technique is faster than previous approaches, thus reducing the decision generating latency by as much as 79%. Furthermore, the results also show that we provide minimal downtime. Compared with competitors, our proposed migration mechanism reduces the downtime by up to 73%.

U2 - 10.1007/978-3-642-54420-0_12

DO - 10.1007/978-3-642-54420-0_12

M3 - Conference contribution

SN - 978-3-642-54419-4

T3 - Lecture Notes in Computer Science (LNCS)

SP - 116

EP - 125

BT - Euro-Par 2013: Parallel Processing Workshops

A2 - an Mey, Dieter

A2 - Alexander, Michael

A2 - Bientinesi, Paolo

A2 - Cannataro, Mario

A2 - Clauss, Carsten

A2 - Costan, Alexandru

A2 - Kecskemeti, Gabor

A2 - Morin, Christine

A2 - Ricci, Laura

A2 - Sahuquillo, Julio

A2 - Schulz, Martin

A2 - Scarano, Vittorio

A2 - Scott, Stephen L.

A2 - Weidendorfer, Josef

PB - Springer

CY - Berlin, Heidelberg

T2 - 19th International Conference on Parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013

Y2 - 26 August 2013 through 27 August 2013

ER -

Lu P, Barbalace A, Palmieri R, Ravindran B. Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment. In an Mey D, Alexander M, Bientinesi P, Cannataro M, Clauss C, Costan A, Kecskemeti G, Morin C, Ricci L, Sahuquillo J, Schulz M, Scarano V, Scott SL, Weidendorfer J, editors, Euro-Par 2013: Parallel Processing Workshops. Berlin, Heidelberg: Springer. 2014. p. 116-125. (Lecture Notes in Computer Science (LNCS)). doi: 10.1007/978-3-642-54420-0_12

Adaptive Live Migration to Improve Load Balancing in Virtual Machine Environment

Abstract / Description of output

Publication series

Conference

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