<i>Special Issue</i>
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Special Issue

Special Issue: Parallel, Distributed and Grid/Cloud/Edge/Fog/P2P Computing

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Special Issue "Parallel, Distributed and Grid/Cloud/Edge/Fog/P2P Computing"


Guest Editors:

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

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the design and implementation of parallel and distributed algorithms. Parallelizing an algorithm in order to achieve good performance and scalability is not trivial, requiring a good data organization and decomposition strategy to balance the workload while minimizing data dependencies. Additional issues are related to minimizing synchronization and communication overhead, as well as I/O costs. Creating breakthrough parallel algorithms requires addressing several key computing problems by providing novel and clever solutions.

When the data are spread among different geographically distributed sites, centralized processing is very inefficient and expensive; however, it is often impractical and subject to security risks. Therefore, we face the challenge of processing the data and minimizing the amount of data being exchanged, whilst simultaneously guaranteeing correctness and efficiency. Distributed algorithms, including Grid/Cloud/Edge/Fog/P2P computing, perform distributed data processing, paying careful attention to resource constraints: in particular, bandwidth limitation, privacy concerns, and computing power.

The aim of this 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 are the following:

Scalable parallel algorithms using message-passing, shared-memory, or hybrid programming paradigms.
Exploiting modern parallel architectures including FPGA, GPU, and many-core accelerators for parallel applications.
Middleware for high-performance applications on grid and cloud environments.
Benchmarking and performance studies of high-performance applications.
Novel programming paradigms to support high-performance computing.
Performance models for high-performance applications and middleware.
Programming models, tools, and environments for high-performance computing.
Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing.
Novel distributed algorithms minimizing data communication.
Distributed algorithms for Grid/Cloud/Edge/Fog/P2P environments.

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


parallel computing
distributed computing
grid computing
cloud computing
edge computing
fog computing
P2P networks

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