[DMANET] Special Issue on Parallel and Distributed Computing

Journal: Future Internet
Special Issue Title: Parallel and Distributed Computing
Special Issue Editor: Prof. Massimo Cafaro
Deadline: 30 April 2021

https://www.mdpi.com/journal/futureinternet/special_issues/PDGCP2P_C

Summary

Dear Colleagues,

recent years have witnessed the growing interest for 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, there are (but the Special Issue is not strictly limited to these):

- 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. Massimo Cafaro
Prof. Italo Epicoco
Dr. Marco Pulimeno

Guest Editors

Keywords: parallel computing, distributed computing, grid computing, cloud computing, P2P.




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Massimo Cafaro, Ph.D.
Associate Professor of Parallel Algorithms and Data Mining
Dept. of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web http://sara.unisalento.it/~cafaro
Web
https://www.unisalento.it/people/massimo.cafaro
E-mail massimo.cafaro@unisalento.it
E-mail cafaro@ieee.org
E-mail cafaro@acm.org

CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro@cmcc.it

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