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 2418

Special Issue 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
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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

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Keywords

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

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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 1912
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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