Parallel, Distributed and Grid/Cloud/P2P Computing
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 8734
Special Issue Editors
2. Euro-Mediterranean Centre on Climate Change, Foundation, 73100 Lecce, Italy
Interests: parallel; distributed; grid/cloud/P2P computing; data mining; machine learning; deep learning; security and cryptography
Special Issues, Collections and Topics in MDPI journals
Interests: parallel; distributed; grid/cloud/P2P computing; data mining and security
Special Issues, Collections and Topics in MDPI journals
Interests: parallel computing; distributed computing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent years have witnessed a growing interest in parallel and distributed computing not just for large-scale processing of big data, but also in the context of several research trends, such as Artificial Intelligence and machine learning, data mining, wireless sensor networks, Internet of Things, green computing in data centers, etc. The aim of the Special Issue is to address current research and trends in the field by focusing on theory, technologies, and applications, highlighting both challenges and opportunities. The scope of the Special Issue is very broad, taking into account the interdisciplinarity of parallel and distributed computing. Among the topics of interest, though not exclusively, there are:
- Parallel algorithms;
- Distributed algorithms, including P2P algorithms;
- Fault-tolerant algorithms;
- Cloud and grid computing;
- Architectures for parallel and distributed computing;
- Green computing and data centers;
- Middleware and libraries for parallel and distributed computing;
- Scheduling and resource allocation.
Prof. Dr. Massimo Cafaro
Dr. Italo Epicoco
Dr. Marco Pulimeno
Guest Editors
Manuscript Submission Information
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Keywords
- parallel computing
- distributed computing
- grid computing
- cloud computing
- P2P
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