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Cluster Computing
基本信息
期刊名称 Cluster Computing
CLUSTER COMPUT
期刊ISSN 1386-7857
期刊官方网站 http://www.springer.com/computer/communication+networks/journal/10586
是否OA 混合
出版商 Springer Nature
出版周期 季刊
始发年份 1998
年文章数 141
最新影响因子 4.4(2022)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术3区 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统4区
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法3区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.85 0.338 0.981
Computer Science
Computer Networks and Communications
113 / 274 58%
Computer Science
Software
175 / 360 51%
补充信息
自引率 6.40%
H-index 27
SCI收录状况 Science Citation Index Expanded
官方审稿时间
Submission to first decision
48 days
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1386-7857%5BISSN%5D
投稿指南
期刊投稿网址 https://www.editorialmanager.com/clus/default.aspx
收稿范围

Cluster Computing: the Journal of Networks, Software Tools and Applications will provide a forum for presenting the latest research and technology that unify the fields of parallel processing, distributed computing systems and high performance computer networks. The current advances in computing, networking technology and software have spurred a lot of research interest in cluster and internet computing, as demonstrated in Cloud and Grid computing, and distributed high performance data centers.

In the last few years, we have seen an increased interest in developing applications, software tools, communications protocols and high performance data centers, Grids and cloud computing sites to capitalize on these advances and initiatives. Publications about these developments currently appear in several journals that either focus on the communications field, or on parallel and distributed computing with a strong emphasis on the parallel algorithms. Cluster Computing Journal will uniquely address the latest results in integrating these three fields to support the development of high performance parallel distributed computing systems and their applications. The journal will be an important source of information for the growing number of researchers, developers and users of High Performance Parallel and Distributed Computing environments. In these environments, parallel and/or distributed computing techniques are applied to the solution of large-scale scientific and engineering applications running on clusters, cloud computing and/or distributed data centers.

  • Presents the latest research and applications in parallel and distributed algorithms, high performance distributed computing systems that include Clouds, Grids, and Data Centers

  • Discusses distributed computing techniques as applied to the solution of large-scale scientific and engineering applications running on high performance parallel and distributed computing systems

  • An important source of information for the growing number of researchers, developers and users of parallel and distributed computing systems


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投稿指南 https://www.springer.com/journal/10586/submission-guidelines
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编辑信息

Editor-in-Chief:

Salim Hariri
Electrical & Computer Engineering Dept., The University of Arizona, Tucson, USA

Editorial Board:

Haider Abbas, National University of Sciences & Technology (NUST); Youssif Al-Nashif, University of Arizona; Mark Baker,The University of Reading; S. Balamurugan, Quants IS & Consultancy Services; Ioana Banicescu, Mississippi State University; Adam Barker,University of St Andrews; Arindam Biswas, Kazi Nazrul University; Ali R. Butt,Virginia Polytechnic Institute;Franck Cappello,INRIA; Abhishek Chandra,University of Minnesota; Kim-Kwang Raymond Choo,University of South Australia;Jeffrey J Evans,Purdue University; Gilles Fedak, INRIA; Marco Guazzone, University of Piemonte Orientale; Bin Hu, Birmingham City University; Atta ur Rehman Khan, King Saud University;Mohammad S Khan, East Tennessee State University; Samee Ullah Khan, North Dakota State University;Thilo Kielmann, Vrije Universiteit; Yoonhee Kim, Sookmyung Women's University;Tevfik Kosar, SUNY University at Buffalo; Naoya Maruyama, RIKEN Advanced Institute for Computational Science;Gabriele Mencagli, University of Pisa; ManishParashar,Rutgers University; Jin H. Park, California State University, Fresno; Jean-Marc Pierson,Institut de Recherche en Informatique de Toulouse;Ioan Raicu, Illinois Institute of Technology; Matei Ripeanu, University of British Columbia; Ivan Rodero, Rutgers University; Sherif Sakr,University of New South Wales; Mohammad Shojafar, Universityof Rome; Alireza Souri, Islamic Azad University; Vaidy Sunderam, Emory University; Haluk Topcuoglu,Marmara University; Athanasios Vasilakos,University of Western Macedonia;Lizhe Wang,Earth Observation Chinese Academy of Science; Rui Zhang, IBM Research - Almaden;Yeliang Zhang,Google Inc.


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