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Electronics
Special Issues
Parallel Distributed and Real Time Systems
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Parallel Distributed and Real Time Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 1914

Special Issue Editor

Dr. Mais Nijim

E-Mail Website
Guest Editor
Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, TX 78363, USA
Interests: parallel distributed systems; networking; storage systems; cluster and grid computing; real-time systems; fault-tolerant computing; performance evaluation; dynamic resource management; network security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Distributed Systems play an important role in achieving the high-performance storage needed for data-intensive applications. However, a substantial amount of energy is consumed by them. The energy consumption problem has become increasingly serious with data proliferation and large-scale Distributed Systems; therefore, it is a must to extensively investigate energy-conservation software and hardware techniques for Distributed Systems.

Improving the energy efficiency for Distributed Systems, such as Smart Grid, Clouds, Edge Computing and Data Centers, is a key challenge for academic and industrial organizations. The papers accepted for publications for the current Special Issue cover new approaches and solutions that could have a large impact on energy saving and energy efficiency in Distributed Systems.

Prof. Dr. Mais Nijim
Guest Editor

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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.

Keywords

  • Large-scale distributed systems
  • Energy management
  • Power modeling
  • Green data center
  • Energy efficiency

Published Papers (1 paper)

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Research

21 pages, 734 KiB  
Article
Interference-Aware Schedulability Analysis and Task Allocation for Multicore Hard Real-Time Systems
by José María Aceituno, Ana Guasque, Patricia Balbastre, José Simó and Alfons Crespo
Electronics 2022, 11(9), 1313; https://doi.org/10.3390/electronics11091313 - 21 Apr 2022
Cited by 2 | Viewed by 1474
Abstract
There has been a trend towards using multicore platforms for real-time embedded systems due to their high computing performance. In the scheduling of a multicore hard real-time system, there are interference delays due to contention of shared hardware resources. The main sources of [...] Read more.
There has been a trend towards using multicore platforms for real-time embedded systems due to their high computing performance. In the scheduling of a multicore hard real-time system, there are interference delays due to contention of shared hardware resources. The main sources of interference are memory, cache memory, and the shared memory bus. These interferences are a great source of unpredictability and they are not always taken into account. Recent papers have proposed task models and schedulability algorithms to account for this interference delay. The aim of this paper is to provide a schedulability analysis for a task model that incorporates interference delay, for both fixed and dynamic priorities. We assume an implicit deadline task model. We rely on a task model where this interference is integrated in a general way, without depending on a specific type of hardware resource. There are similar approaches, but they consider fixed priorities. An allocation algorithm to minimise this interference (Imin) is also proposed and compared with existing allocators. The results show how Imin has the best rates in terms of percentages of schedulability and increased utilisation. In addition, Imin presents good results in terms of solution times. Full article
(This article belongs to the Special Issue Parallel Distributed and Real Time Systems)
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