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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 55 days
Avg accept to publ: 60 days
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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Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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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.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

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  1/2023 - 7

On Proposing a Novel SDN-Caching Mechanism for Optimizing Distribution in ICN Networks

NASCIMENTO, E. B. See more information about NASCIMENTO, E. B. on SCOPUS See more information about NASCIMENTO, E. B. on IEEExplore See more information about NASCIMENTO, E. B. on Web of Science, MORENO, E. D. See more information about  MORENO, E. D. on SCOPUS See more information about  MORENO, E. D. on SCOPUS See more information about MORENO, E. D. on Web of Science, MACEDO, D. D. J. See more information about  MACEDO, D. D. J. on SCOPUS See more information about  MACEDO, D. D. J. on SCOPUS See more information about MACEDO, D. D. J. on Web of Science, CARLOS ERPEN de BONA, L. See more information about  CARLOS ERPEN de BONA, L. on SCOPUS See more information about  CARLOS ERPEN de BONA, L. on SCOPUS See more information about CARLOS ERPEN de BONA, L. on Web of Science, RIGHI, R. R. See more information about  RIGHI, R. R. on SCOPUS See more information about  RIGHI, R. R. on SCOPUS See more information about RIGHI, R. R. on Web of Science, MESSINA, F.
 
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Download PDF pdficon (1,972 KB) | Citation | Downloads: 618 | Views: 1,002

Author keywords
cache, content, network, software, system

References keywords
networking(24), software(12), information(12), defined(12), centric(12), networks(8), network(8), communications(8), architecture(6), management(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2023-02-28
Volume 23, Issue 1, Year 2023, On page(s): 61 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.01007
Web of Science Accession Number: 000937345700007
SCOPUS ID: 85150227637

Abstract
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Traffic reduction in network segments through cache implementations has become an important research topic due to the exponential increase in data requests through the Internet. To support these activities, high-power computing and massive storage must support the creation, retrieval, update, and deletion of large amounts of data. Duplicate requests in the segment from the same clients challenge developing flexible networks. Studies about Information-Centric Networks (ICN) propose to improve the performance of content-based networks because there is a content handling of requests for content, leading to an independent flow from each user. Such as a unicast content delivery ignores identical requests of the other users made to the same service. Therefore, many approaches use Software-Defined Networks (SDN) to provide improved network management to develop a flexible content-based network. This article proposes the PROMID architecture, characterized as an information-centric network through SDN that optimizes the bandwidth consumption in dynamic request-response connections. From the experimental results, we observed that our approach allows us to optimize 84.61% on a total of 32.000 request responses and 34.25% in latency optimization. Moreover, our method measured an increase in the transfer rate from 19.99 Mbps to 164.74 Mbps.


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Cited-By CrossRef

[1] Survey on the scheme evaluation, opportunities and challenges of software definedā€information centric network, Ai, Zhengyang, Zhang, Ming, Zhang, Weiting, Kang, Jiawen, Tong, Lingling, Duan, Yunqiang, IET Communications, ISSN 1751-8628, Issue 20, Volume 17, 2023.
Digital Object Identifier: 10.1049/cmu2.12694
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