The Grid is a rapidly developing computing structure that allows components of our information technology infrastructure, computational capabilities, databases, sensors, and people to be shared flexibly as true collaborative tools. Over the last 3 years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed computing systems. After the advances made in distributed system design, collaborative environments, high performance computing and high throughput computing, the Grid is the logical next step.

The new Aims and Scope of FGCS will cover new developments in:

[1] Grid Applications and application support:

    Novel applications
    eScience and eBusiness applications
    Problem solving environments and virtual laboratories
    Grid economy
    Semantic and knowledge based grids
    Collaborative Grids and virtual organizations
    High Performance and high throughput computing on grids
    Complex application workflows
    Scientific, industrial and social implications
    Grids in education

[2] Grid methods and middleware:

    Tools for grid development: monitoring and scheduling
    Distributed dynamic resource management
    Grid- and web-services
    Information management
    Protocols and emerging standards
    Peer to peer and internet computing
    Pervasive computing
    Grid Security

[3] Grid Theory:

    Process specification; program and algorithm design
    Theoretical aspects of wide area communication and computation
    Scaling and performance theory
    Protocol verification

Special Issue on Harnessing the Convergence of HPC and AI in Bioinformatics: Challenges and Opportunities
Submission Date: 2024-06-30

High-performance computing (HPC) is of utmost importance in the field of bioinformatics due to the vast amount of data generated and the complex computational tasks involved. HPC offers parallel processing capabilities, large memory resources, and high-speed interconnects, enabling researchers to execute complex algorithms and simulations efficiently. In bioinformatics, HPC plays a crucial role in various applications. For instance, it facilitates genome sequencing and assembly, where massive amounts of DNA sequences need to be aligned, compared, and reconstructed. HPC also aids in protein structure prediction, molecular dynamics simulations, and drug discovery, where complex calculations and simulations are performed to understand protein-ligand interactions and predict drug efficacy.

For the last decade, the development of AI models in bioinformatics is rapidly evolving. For example, the development of AlphaFold2 for proteins structure prediction and large language models (LLMs) such as BioBert for bio-medical research. The success of AI in bioinformatics heavily relies on the availability of computing power and development of efficient training algorithms. These enable the efficient training and execution of AI models. The combination of AI and HPC has opened up new possibilities in genomics, drug discovery, and precision medicine, leading to ground breaking advancements in the understanding and treatment of diseases.

In this special issue, we invite research articles and review articles aiming at presenting the most recent development and trend of HPC and AI algorithms/technologies for biomedical and biological research.

Topics of interest include, but are not limited to algorithm and system development in the following areas:
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Guest Editors

Yanjie WeiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, P.R. Chinayj.wei@siat.ac.cn

Weiguo LiuSchool of Software, Shandong University, P.R. Chinaweiguo.liu@sdu.edu.cn

Bertil SchmidtInstitute of Computer Science, Johannes Gutenberg-Universität Mainz, Germanybertil.schmidt@uni-mainz.de  

Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology, P.R. Chinazouquan@nclab.net 

Limin JiangDepartment of Public Health Sciences, University of Miami, United Stateslxj423@med.miami.edu 

Special Issue on Next-Generation Web 3.0 for Digitalized Industrial Applications in the 5G/6G Era
Submission Date: 2024-07-15

With the rapid development of 5G/6G communication networks, billions of IoT devices are being connected to the network, thus generating a large amount of data. The collection, processing, and analysis of this vast amount of data are essential to help people and enterprises gain valuable information, make sensible decisions, and improve people’s lives. However, the underlying communication networks also face many new challenges. Managing these large number of devices in a scalable and secure manner brings significant challenges to the infrastructure construction, maintenance, and management of the communication networks. Recurring data privacy breaches and the lack of control make Internet users and enterprises less willing to provide valuable data for processing and analysis.

In the context of the rapidly evolving 5G/6G era, the relevance of Web 3.0 to digital industrial applications is multifaceted and transformative. By emphasizing enhanced security and decentralized data management, Web 3.0 technologies offer robust solutions to safeguard sensitive industrial information and ensure resilient data infrastructure. These technologies enable streamlined supply chain and asset management through transparent and tamper-resistant data exchange, while the integration of smart contracts facilitates automated agreements, expediting operational efficiency. Furthermore, the implementation of self-sovereign identity systems empowers users to manage and authorize data access, ensuring heightened privacy compliance. The compatibility of Web 3.0 with advanced 5G/6G network capabilities enables seamless integration, promoting efficient communication, computation, and data processing within the industrial landscape. Overall, the integration of Web 3.0 technologies fosters a dynamic, secure, and interconnected industrial ecosystem poised for sustainable growth and innovation.

Authors are invited to submit high-quality papers containing original work from either academia or industry reporting novel advances in (but not limited to) the following topics on Web 3.0 for digitalized industrial applications in the 5G/6G era:

Guest Editors
Qingqi PeiXidian University, Chinaqqpei@mail.xidian.edu.cn
F. Richard YuCarleton University, Canadarichard.yu@carleton.ca 
Kaou OtaMuroran Institute of Technology, Japan ota@csse.muroran-it.ac.jp
Mohammed AtiquzzamanUniversity of Oklahoma, USAatiq@ou.edu
Youshui LuXi’an Jiaotong University, Xi’an, Chinayolu6176@uni.sydney.edu.au

Important Dates
Submission portal opens: January 15, 2024
Deadline for paper submission: July 15, 2024
Latest acceptance deadline for all papers: November 15, 2024