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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
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Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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APC: 300 EUR


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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  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
 
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Download PDF pdficon (1,353 KB) | Citation | Downloads: 1,084 | Views: 2,961

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.


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