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Journal of Grid Computing
基本信息
期刊名称 Journal of Grid Computing
J GRID COMPUT
期刊ISSN 1570-7873
期刊官方网站 http://www.springer.com/computer/communication+networks/journal/10723
是否OA
出版商 Springer Netherlands
出版周期 Quarterly
始发年份
年文章数 34
最新影响因子 5.5(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2区
COMPUTER SCIENCE, THEORY & METHODS 计算机:理论方法2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 3.82 0.688 1.735
Computer Science
Hardware and Architecture
23 / 152 85%
Computer Science
Computer Networks and Communications
45 / 274 83%
Computer Science
Information Systems
47 / 269 82%
Computer Science
Software
72 / 360 80%
补充信息
自引率 30.00%
H-index 41
SCI收录状况 Science Citation Index Expanded
官方审稿时间
Submission to first decision
17 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=1570-7873%5BISSN%5D
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期刊投稿网址 https://www.editorialmanager.com/grid/default.aspx
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Grid computing is an emerging technology that enables large-scale resource sharing and coordinated problem solving within distributed, often loosely coordinated groups-what are sometimes termed "virtual organizations. By providing scalable, secure, high-performance mechanisms for discovering and negotiating access to remote resources, Grid technologies promise to make it possible for scientific collaborations to share resources on an unprecedented scale, and for geographically distributed groups to work together in ways that were previously impossible. Similar technologies are being adopted within industry, where they serve as important building blocks for emerging service provider infrastructures.

Even though the advantages of this technology for classes of applications have been acknowledged, research in a variety of disciplines, including not only multiple domains of computer science (networking, middleware, programming, algorithms) but also application disciplines themselves, as well as such areas as sociology and economics, is needed to broaden the applicability and scope of the current body of knowledge. Topics that fit within this theme include:

Protocols, middleware, and services for security, discovery, sharing, management etc., of computing, storage, data and other resources - within dynamic, distributed communities.
Scaling issues in various dimensions: number of sites, number of users, number of resources, aggregate performance, and amount of data.
Peer-to-peer and internet computing.
Design environments, application development tools, languages and compilation techniques for GRID Computing.
Grid applications and system solutions in science, engineering and commerce.
Novel uses of Grid Computing concepts and technologies, for example in sensor nets and education.
Advanced collaboration technologies for collaborative work, information sharing and problem solving.
The implications of Grid technologies for emerging optical and wireless infrastructures.
The human and/or market dynamics that may influence resource sharing decisions and the choice of collaboration modalities within small and large communities.


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Editor-in-Chief:

Péter Kacsuk, MTA SZTAKI Computer and Automation Research Institute, Budapest, Hungary and the University of Westminster, London, UK


Editorial Board:

David Abramson, Monash University, Melbourne, Vic., Australia

David P. Anderson, Space Sciences Lab, U.C. Berkeley, California, USA

Filipe Araujo, University of Coimbra, Portugal

Malcolm Atkinson, U.K. eScience Center, Glasgow, UK

Henri Bal, Vrije Universiteit, Amsterdam, The Netherlands

Fran Berman, UnCenter for a Digital Society, Rensselaer Polytechnic Institute, New York, USA

Isabel Campos Plasencia, Spanish National Research Council, Spain

Franck Cappello, CNRS, Paris, France

Charles Catlett, Argonne National Laboratory, Illinois, USA

Andrew Chien, University of Chicago, Illinois, USA

Jon Crowcroft, University of Cambridge, UK

David Culler, University of California, California, USA

Ewa Deelman, University of Southern California, California, USA

Jack Dongarra, University of Tennessee, Knoxville, USA

Ian Foster, Argonne National Laboratory and The University of Chicago, Illinois, USA

Fabrizio Gagliardi, Microsoft, USA

Wolfgang Gentzsch, The UberCloud Experiment, Germany

Tony Hey, Microsoft, USA

Bill Johnston, Lawrence Berkeley National Laboratory, California, USA

Attila Kertesz, University of Szeged, Hungary

Carl Kesselman, University of Southern California, Marina del Rey, USA

Tamas Kiss, University of Westminster, UK

Dieter Kranzlmueller, Ludwig-Maximilians-Universitaet Muenchen & Leibniz Supercomputing Centre, Germany

Domenico Laforenza, CNR, Italy

Miron Livny, University of Wisconsin, Wisconsin, USA

Ignacio Martín Llorente, Universidad Complutense de Madrid, Spain

Satoshi Matsuoka, Tokyo Institute of Technology, Japan

Jarek Nabrzyski, Notre Dame University, USA

Pratap Pattnaik, IBM Research, Yorktown, NY, USA

Dana Petcu, West University of Timisoara, Romania

Radu Prodan, University of Klagenfurt, Austria

Alexander Reinefeld, ZIB Berlin and Humboldt Universität zu Berlin, Germany

Ed Seidel, National Science Foundation, USA

Satoshi Sekiguchi, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan

Oxana Smirnova, Lund University, Sweden

Yongwei Wu, Tsinghua University, Beijing, China

Ramin Yahyapour, GWDG, Germany

Zhiwei Zu, Chinese Academy of Sciences, Beijing, China


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