Distributed Computing and Storage Challenges for Emerging Applications
This special issue belongs to the section "Computer Science & Engineering".
Special Issue Information
Dear Colleagues,
This Special Issue explores new research on distributed computing and storage for emerging applications such as artificial intelligence, big data, blockchain, and metaverse. Given the growing size of data and the increasing complexity of applications, it is becoming crucial to develop applications and systems on a distributed platform instead of relying on a single node. As a result, for the efficient development of emerging applications, there are numerous design challenges and optimization issues that need to be addressed.
In this Special Issue, contributions that highlight novel ideas about distributed algorithms and system optimization techniques for developing future emerging applications will be considered. This Special Issue aims to bring together community research in the areas of emerging applications and computer systems, and curate a selection of articles.
Prof. Dr. Sungyong Park
Dr. Gordon Euhyun Moon
Guest Editors
Manuscript Submission Information
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Keywords
- distributed algorithms and optimization issues in emerging applications such as AI, big data, block chain, meta verse, and so on
- scalable IO techniques for emerging applications
- resource management in emerging applications
- big data platforms and streaming analytics
- storage systems for data-intensive computing
- distributed deep learning approaches: data parallelism and model parallelism
- high-performance computing for emerging applications
- federating learning applications and algorithms
- convergence of high-performance computing, cloud, edge, and other distributed computing resources
- distributed systems and storage for AI, and AI for distributed systems and storage
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Published Papers
Electronics - ISSN 2079-9292