Special Issue "Real-Time Systems in Emerging IoT-Embedded Applications"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 15 June 2021.

Special Issue Editor

Dr. George K. Adam
E-Mail Website
Guest Editor
Department of Digital Systems, University of Thessaly, 41500 Larissa, Greece
Interests: computer systems design; computer architectures; operating systems; real-time systems; computer-based control; robotics; mechatronics, modelling and simulation
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The objective of this Special Issue is the design, development, and implementation of real-time systems for emerging IoT and industrial IoT-embedded systems and their applications. Research on real-time control of time-sensitive systems has attracted great interest in recent years due to the increasing utilization of embedded control systems in the IoT and cloud. Embedded systems have made possible the realization of highly-effective controllers in many domains (smart manufacturing, smart home, smart autonomous vehicles, smart mobile devices, UAVs, etc.). The increase in implementations of such applications and their special timing requirements, in particular, for safety-critical systems, brings new challenges and issues in real-time systems. There is a need to research and propose novel efficient solutions. Therefore, we focus on real-time systems issues (e.g., efficiency, reliability, timely response, energy consumption, cost) from an architectural point of view, as well as from an operating systems perspective (e.g., real-time operating systems). There will be special emphasis on new designs and developments and their applications in various sectors (healthcare, manufacturing, industrial IoT, cloud systems, automotive, aerospace, etc.).

Topics of interest include, but are not limited to, the following:

  • Real-time systems and applications performance issues
  • Real-time system architectures and real-time operating systems
  • Real-time systems and application studies in various environments (e.g., manufacturing, IoT, cloud and edge computing, control systems, mechatronics and robotics, healthcare services)
  • Emerging and future real-time systems.

Dr. George K. Adam
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 papers will be 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. Computers 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 1400 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

  • Real-time systems
  • Internet of things
  • Industrial Internet of things
  • Design methods and tools
  • Real-time performance metrics
  • Efficiency, reliability, and adaptability
  • Embedded real-time systems and applications
  • Real-time control systems
  • Time-sensitive control systems
  • Safety-critical systems
  • Intelligent real-time systems and applications
  • COTS-based real-time systems
  • Distributed, networked, and mobile real-time systems
  • Peripherals and sensors
  • Performance evaluation and testing
  • Verification and validation
  • Modeling and simulation

Published Papers (3 papers)

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Research

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Open AccessArticle
Symptom Tracking and Experimentation Platform for Covid-19 or Similar Infections
Computers 2021, 10(2), 22; https://doi.org/10.3390/computers10020022 - 07 Feb 2021
Viewed by 787
Abstract
Remote symptom tracking is critical for the prevention of Covid-19 spread. The qualified medical staff working in the call centers of primary health care units have to take critical decisions often based on vague information about the patient condition. The congestion and the [...] Read more.
Remote symptom tracking is critical for the prevention of Covid-19 spread. The qualified medical staff working in the call centers of primary health care units have to take critical decisions often based on vague information about the patient condition. The congestion and the medical protocols that are constantly changing often lead to incorrect decisions. The proposed platform allows the remote assessment of symptoms and can be useful for patients, health institutes and researchers. It consists of mobile desktop applications and medical sensors connected to cloud infrastructure. The unique features offered by the proposed solution are: (a) dynamic adaptation of Medical Protocols (MP) is supported (for the definition of alert rules, sensor sampling strategy and questionnaire structure) covering different medical cases (pre- or post-hospitalization, vulnerable population, etc.), (b) anonymous medical data can be statistically processed in the context of the research about an infection such as Covid-19, (c) reliable diagnosis is supported since several factors are taken into consideration, (d) the platform can be used to drastically reduce the congestion in various healthcare units. For the demonstration of (b), new classification methods based on similarity metrics have been tested for cough sound classification with an accuracy in the order of 90%. Full article
(This article belongs to the Special Issue Real-Time Systems in Emerging IoT-Embedded Applications)
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Open AccessArticle
Energy-Efficient Task Partitioning for Real-Time Scheduling on Multi-Core Platforms
Computers 2021, 10(1), 10; https://doi.org/10.3390/computers10010010 - 08 Jan 2021
Cited by 2 | Viewed by 769
Abstract
Multi-core processors have become widespread computing engines for recent embedded real-time systems. Efficient task partitioning plays a significant role in real-time computing for achieving higher performance alongside sustaining system correctness and predictability and meeting all hard deadlines. This paper deals with the problem [...] Read more.
Multi-core processors have become widespread computing engines for recent embedded real-time systems. Efficient task partitioning plays a significant role in real-time computing for achieving higher performance alongside sustaining system correctness and predictability and meeting all hard deadlines. This paper deals with the problem of energy-aware static partitioning of periodic, dependent real-time tasks on a homogenous multi-core platform. Concurrent access of the tasks to shared resources by multiple tasks running on different cores induced a higher blocking time, which increases the worst-case execution time (WCET) of tasks and can cause missing the hard deadlines, consequently resulting in system failure. The proposed blocking-aware-based partitioning (BABP) algorithm aims to reduce the overall energy consumption while avoiding deadline violations. Compared to existing partitioning strategies, the proposed technique achieves more energy-saving. A series of experiments test the capabilities of the suggested algorithm compared to popular heuristics partitioning algorithms. A comparison was made between the most used bin-packing algorithms and the proposed algorithm in terms of energy consumption and system schedulability. Experimental results demonstrate that the designed algorithm outperforms the Worst Fit Decreasing (WFD), Best Fit Decreasing (BFD), and Similarity-Based Partitioning (SBP) algorithms of bin-packing algorithms, reduces the energy consumption of the overall system, and improves schedulability. Full article
(This article belongs to the Special Issue Real-Time Systems in Emerging IoT-Embedded Applications)
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Review

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Open AccessReview
Recent Advancement of the Sensors for Monitoring the Water Quality Parameters in Smart Fisheries Farming
Computers 2021, 10(3), 26; https://doi.org/10.3390/computers10030026 - 27 Feb 2021
Viewed by 534
Abstract
Water quality is the most critical factor affecting fish health and performance in aquaculture production systems. Fish life is mostly dependent on the water fishes live in for all their needs. Therefore, it is essential to have a clear understanding of the water [...] Read more.
Water quality is the most critical factor affecting fish health and performance in aquaculture production systems. Fish life is mostly dependent on the water fishes live in for all their needs. Therefore, it is essential to have a clear understanding of the water quality requirements of the fish. This research discusses the critical water parameters (temperature, pH, nitrate, phosphate, calcium, magnesium, and dissolved oxygen (DO)) for fisheries and reviews the existing sensors to detect those parameters. Moreover, this paper proposes a prospective solution for smart fisheries that will help to monitor water quality factors, make decisions based on the collected data, and adapt more quickly to changing conditions. Full article
(This article belongs to the Special Issue Real-Time Systems in Emerging IoT-Embedded Applications)
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