|4/2016 - 2|
Speeding Up VM Image Distribution for Cloud Data CentersLEE, C. , LEE, H. , KIM, E.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,353 KB) | Citation | Downloads: 436 | Views: 961|
computer networks, content distribution networks, distributed computing, peer-to-peer computing, protocols
cloud(15), virtual(9), computing(8), data(7), machine(6), chen(6), systems(5), performance(5), network(5), usenix(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 9 - 14
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04002
Web of Science Accession Number: 000390675900002
SCOPUS ID: 85007597186
An efficient scheme of virtual machine image dissemination, which takes up a major portion of VM provisioning time, is key to ensuring that the service can be provisioned and delivered to clients in a timely manner. This paper presents a novel peer-to-peer protocol to efficiently distribute virtual machine images in a cloud data center. The primary idea of our proposal is to expedite the peer-to-peer content delivery by taking advantage of a high level of similarity that oftentimes exists among different VM images. The efficacy of our protocol is validated through an evaluation that demonstrates substantial performance gains over existing approaches.
|References|||||Cited By «-- Click to see who has cited this paper|
| M. Mao and M. Humphrey, "A performance study on the VM startup time in the cloud," in Proc. 5th IEEE International Conference on Cloud Computing (CLOUD), Honolulu, HI, USA, Jun. 2012, pp.423-430. |
[CrossRef] [SCOPUS Times Cited 239]
 W. Xiong and L. Chen, "HiGIS: An open framework for high performance geographic information system," Advances in Electrical and Computer Engineering, vol.15, no.3, pp.123-132, August 2015,
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]
 N. Stojanovic and D. Stojanovic, "High performance processing and analysis of geospatial data using CUDA on GPU," Advances in Electrical and Computer Engineering, vol.14, no.4, pp.109-114, November 2014,
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 5]
 M. Al-Fares, A. Loukissas, and A. Vahdat, "A scalable, commodity data center network architecture," in Proc. ACM SIGCOMM 2008 Conference on Data Communication, Seattle, WA, USA, Aug. 2008, pp.63-74.
 C. Lee, S. Kim, and E. Kim, "Expediting P2P video delivery through a hybrid push-pull protocol," Advances in Electrical and Computer Engineering, vol.15, no.4, pp.3-8, November 2015,
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]
 C. Ashwin, R. Bharambe, and V. Padmanabhan, "Analyzing and improving a BitTorrent network's performance mechanisms," in Proc. 25th IEEE International Conference on Computer Communications (INFOCOM), Barcelona, Spain, Apr. 2006, pp.1-12.
[CrossRef] [SCOPUS Times Cited 275]
 A. Muthitacharoen, B. Chen, and D. Mazieres, "A low-bandwidth network file system," in Proc. 18th ACM Symposium on Operating Systems Principles (SOSP), Banff, Canada, Oct. 2001, pp.174-187.
 C. Peng, M. Kim, Z. Zhang, and H. Lei, "VDN: virtual machine image distribution network for cloud data centers," in Proc. 31st IEEE International Conference on Computer Communications (INFOCOM), Orlando, FL, USA, Mar. 2012, pp.181-189.
[CrossRef] [SCOPUS Times Cited 83]
 C. Lee, S. Kim, and E. Kim, "A deduplication-enabled P2P protocol for VM image distribution," IEICE Transactions on Information and Systems, vol.E98-D, no.5, pp.1108-1111, May 2015.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]
 J. Reich, O. Laadan, E. Brosh, A. Sherman, V. Misra, J. Nieh, and D. Rubenstein, "VMTorrent: scalable P2P virtual machine streaming," in Proc. 8th ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Nice, France, Dec. 2012, pp.189-300.
[CrossRef] [SCOPUS Times Cited 28]
 X. Leon, R. Chaabouni, M. Sanchez-Artigas, and P. Garcia-Lopez, "Smart cloud seeding for BitTorrent in datacenters," IEEE Internet Computing, vol.18, no.4, pp.47-54, Jul.-Aug. 2014.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 9]
 C. Raiciu, M. Ionescu, and D. Niculescu, "Opening up black box networks with CloudTalk," in Proc. 4th USENIX Conference on Hot Topics in Cloud Computing, Boston, MA, USA, Jun. 2012.
 S. Bazarbayev, M. Hiltunen, K. Joshi, W. H. Sanders and R. Schlichting, "Content-based scheduling of virtual machines (VMs) in the cloud," in Proc. 33th IEEE International Conference on Distributed Computing Systems (ICDCS), Philadelphia, PA, USA, Jul. 2013, pp.93-101.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 19]
 U. Deshpande, B. Schlinker, E. Adler, and K. Gopalan, "Gang migration of virtual machines using cluster-wide deduplication," in Proc. 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Delft, Netherlands, May 2013, pp.394-401.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 28]
 D. Reimer, A. Thomas, G. Ammons, T. Mummert, B. Alpern, and V. Bala, "Opening black boxes: using semantic information to combat virtual machine image sprawl," in Proc. 4th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, Seattle, WA, USA, Mar. 2008, pp.111-120.
[CrossRef] [SCOPUS Times Cited 56]
 K. Kin and E. Miller, "The effectiveness of deduplication on virtual machine disk images," in Proc. 2009 Israeli Experimental Systems Conference, Haifa, Israel, May 2009.
 K. R. Jayaram, C. Peng, Z. Zhang, M. Kim, H. Chen, and H. Lei, "An empirical analysis of similarity in virtual machine images," in Proc. 12th ACM/IFIP/USENIX International Middleware Conference, Lisbon, Portugal, Dec. 2011.
[CrossRef] [SCOPUS Times Cited 54]
 Z. Shen, Z. Zhang, A. Kochut, A. Karve, H. Chen, M. Kimand, and H. Lei, "VMAR: optimizing I/O performance and resource utilization in the cloud," in Proc. 14th ACM/IFIP/USENIX International Middleware Conference, Beijing, China, Dec. 2013.
[CrossRef] [SCOPUS Times Cited 10]
 Z. Chen, Y. Zhao, X. Miao, Y. Chen, and Q. Wang, "Rapid provisioning of cloud infrastructure leveraging peer-to-peer networks," in Proc. 29th IEEE International Conference on Distributed Computing Systems (ICDCS) Workshops, Montreal, Canada, Jun. 2009, pp.324-329.
 D. Wu, Y. Zeng, J. He, Y. Liang, and Y. Wen, "On P2P mechanisms for VM image distribution in cloud data centers: modeling, analysis, and improvement," in Proc. 4th IEEE International Conference on Cloud Computing Technology and Science, Taipei, Taiwan, Dec. 2012, pp.50-57.
[CrossRef] [SCOPUS Times Cited 8]
 B. Nicolae, A. Kochut, and A. Karve, "Discovering and leveraging content similarity to optimize collective on-demand data access to IaaS cloud storage," in Proc. 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Shenzhen, China, May 2015, pp.211-220.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 5]
 R. C. Merkle, "A digital signature based on a conventional encryption function," Lecture Notes in Computer Science, vol.293, pp.369-378, 1988.
[CrossRef] [SCOPUS Times Cited 366]
 H. Lai, Y. Wu, and Y. Cheng, "Exploiting neighborhood similarity for virtual machine migration over wide-area network," in Proc. 7th IEEE International Conference on Software Security and Reliability, Washington, D.C., USA, Jun. 2013, pp.149-158.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 9]
 J. Barreto, L. Veiga, and P. Ferreira, "Hash challenges: stretching the limits of compare-by-hash in distributed data deduplication," Information Processing Letters, vol.112, no.10, pp.380-385, May 2012.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 10]
 N. Jain, M. Dahlin, and R. Tewari, "TAPER: tiered approach for eliminating redundancy in replica synchronization," in Proc. 4th USENIX Conference on File and Storage Technologies (FAST), San Francisco, CA, USA, Dec. 2005, pp.281-294.
Web of Science® Citations for all references: 65 TCR
SCOPUS® Citations for all references: 1,211 TCR
Web of Science® Average Citations per reference: 3 ACR
SCOPUS® Average Citations per reference: 47 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2018-09-15 01:50 in 151 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.