期刊信息

Future Generation Computer Systems (FGCS)

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影响因子:
6.1
出版商:
Elsevier
ISSN:
0167-739X
浏览:
158957
关注:
183

征稿

Future Generation Computer Systems (FGCS) is an academic journal published by Elsevier. (ISSN 0167-739X, impact factor 6.1, CCF C).

The International Journal of eScience Computing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative. Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning. FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT). The Aims and Scope of FGCS cover new developments in: [1] Applications and application support: Novel applications for novel e-infrastructures Complex workflow applications Big Data registration, processing and analyses Problem solving environments and virtual laboratories Semantic and knowledge based systems Collaborative infrastructures and virtual organizations Methods for high performance and high throughput computing Urgent computing Scientific, industrial, social and educational implications Education [2] Methods and tools: Tools for infrastructure development and monitoring Distributed dynamic resource management and scheduling Information management Protocols and emerging standards Methods and tools for internet computing Security aspects [3] Theory: Process specification; Program and algorithm design Theoretical aspects of large scale communication and computation Scaling and performance theory Protocols and their verification
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Special Issues

Special Issue on Digital Twins and Emerging Technologies for Industrial and Cyber-Physical Systems: From IoT to Decentralized Intelligence 截稿日期: 2026-05-31 Motivation and Scope Overview section: Industrial and cyber-physical systems are undergoing a profound transformation enabled by the convergence of Digital Twin (DT) paradigms, Industrial IoT (IIoT), edge/fog computing, and decentralized intelligence techniques such as federated learning, blockchain coordination, and gossip protocols. These technologies support high-fidelity simulations, real-time monitoring, and secure, data-driven decision-making aacross manufacturing, logistics, energy, and infrastructure networks. This Special Issue aims to gather cutting-edge research exploring both theoretical advances and applied solutions, with particular emphasis on secure, robust, and intelligent digital infrastructures. While the primary focus remains on industrial domains, we also explicitly welcome contributions addressing complex cyber-physical environments —including urban mobility, city-scale infrastructures, and smart energy systems —when these are treated with approaches transferable to, or interoperable with, industrial and mission-critical settings. Guest editors: Dr. Marcello Pietri (Executive Guest Editor), Department of Sciences and Methods for Engineering (DISMI) - University of Modena and Reggio Emilia, Reggio nell’Emilia, Italy, marcello.pietri@unimore.it Dr. Matteo Martinelli, Department of Sciences and Methods for Engineering (DISMI) - University of Modena and Reggio Emilia, Reggio nell’Emilia, Italy, matteo.martinelli@unimore.it Prof. Andreas Wortmann, Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) - University of Stuttgart, Germany, andreas.wortmann@isw.uni-stuttgart.de Prof. JaeSeung Song, Department of Computer and Information Security - Sejong University, Sejong, South Korea, jssong@sejong.ac.kr Manuscript submission information: Important Dates Submission portal opens: January 15th, 2026 Deadline for paper submission: May 31st, 2026 Latest acceptance deadline for all papers: 30th Nov, 2026 Manuscript Submission Instructions Must have article type/name in EM The FGCS’s submission system (Editorial Manager®) will be open for submissions to our Special Issue from January 15th, 2026. When submitting your manuscript please select the article type VSI: DT-CPS. All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue. Keywords: Industrial IoT; Digital Twins; Cyber-Physical Systems; Edge Computing; Federated Learning; Secure Distributed Intelligence https://www.sciencedirect.com/special-issue/328906/digital-twins-and-emerging-technologies-for-industrial-and-cyber-physical-systems-from-iot-to-decentralized-intelligence
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Special Issue on High-Performance Scientific Workflows in the Compute Continuum 截稿日期: 2026-07-31 Motivation and scope: The convergence of High-Performance Computing (HPC), Cloud, and Edge infrastructures, such as Compute Continuum, is transforming eScience by enabling scientific workflows to run across heterogeneous, distributed environments, from exascale systems to edge devices. This paradigm shift raises new challenges in interoperability, scalability, performance, and reproducibility. This Special Issue focuses on high-performance scientific workflows designed for the Compute Continuum with topics including workflow models and description languages, orchestration and resource-aware scheduling, resilience and adaptive execution, data streaming and in-transit processing, energy- and cost-aware policies, and performance monitoring. Emphasis is placed on FAIR-compliant methodologies that support interoperability, provenance, security, and the reusability of data and services. The Special Issue welcomes both foundational research and practical contributions, including algorithms, middleware, open frameworks, and reproducible case studies demonstrating next-generation Compute-Continuum-aware eScience workflows. Guest editors: Dr. Raffaele Montella Department of Science and Technology, University of Naples “Parthenope”, Naples, Italy, raffaele.montella@uniparthenope.it Dr. Iacopo Colonnelli Department of Computer Science, University of Turin, Turin, Italy, iacopo.colonnelli@unito.it Dr. Daniela Cassol DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, dcassol@lbl.gov Dr. Diana Di Luccio Department of Science and Technology, University of Naples “Parthenope”, Naples, Italy, diana.diluccio@uniparthenope.it Manuscript submission information: Important dates: Submission portal opens: February 16, 2026Deadline for paper submission: July 31, 2026 Latest acceptance deadline for all papers: March 31st, 2027 The FUTURE's submission system (Editorial Manager®) will be open for submissions to our Special Issue from February 16, 2026. When submitting your manuscript, please select the article type VSI: HPSWCC. All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue. Keywords: Compute Continuum; High-Performance Scientific Workflows; eScience; Workflow Orchestration; FAIR Principles https://www.sciencedirect.com/special-issue/330423/special-issue-on-high-performance-scientific-workflows-in-the-compute-continuum
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