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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Nov 2017
Next issue: Feb 2018
Avg review time: 105 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
Issue 3/2017

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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

Read More »


    
 

  4/2016 - 2

Speeding Up VM Image Distribution for Cloud Data Centers

LEE, C. See more information about LEE, C. on SCOPUS See more information about LEE, C. on IEEExplore See more information about LEE, C. on Web of Science, LEE, H. See more information about  LEE, H. on SCOPUS See more information about  LEE, H. on SCOPUS See more information about LEE, H. on Web of Science, KIM, E. See more information about KIM, E. on SCOPUS See more information about KIM, E. on SCOPUS See more information about KIM, E. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,353 KB) | Citation | Downloads: 391 | Views: 572

Author keywords
computer networks, content distribution networks, distributed computing, peer-to-peer computing, protocols

References keywords
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

Abstract
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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

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[CrossRef] [SCOPUS Times Cited 73]


[9] 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.
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[CrossRef] [SCOPUS Times Cited 23]


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[14] 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 10] [SCOPUS Times Cited 24]


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[18] 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.
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[19] 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.
[CrossRef]


[20] 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 7]


[21] 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.
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[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 10]


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References Weight

Web of Science® Citations for all references: 52 TCR
SCOPUS® Citations for all references: 1,098 TCR

Web of Science® Average Citations per reference: 2 ACR
SCOPUS® Average Citations per reference: 42 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 2017-12-13 04:15 in 139 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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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.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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