Hybrid journal (It can contain Open Access articles) ISSN (Print) 1751-6528 - ISSN (Online) 1751-6536 Published by Inderscience Publishers[451 journals]
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Authors:Chawki Benchehida, Mohammed Kamel Benhaoua, Houssam Eddine Zahaf, Giuseppe Lipari Pages: 1 - 11 Abstract: The network-on-chip (NoC) provides a viable solution to bus-contention problems, that occur in classical manycore architectures. However, NoC complex design requires a particular attention to support the execution of real-time workloads. In this paper, we consider task-to-core allocation and inter-task communications, to guarantee the respect of timing constraints. In addition, we address task-to-main-memory communications, as it generates additional traffic. Rather than separating the problems of task-to-core allocation, inter-task communications, and memory-to-task data transfers separately, we tackle these problems at the same time for a set of real-time tasks modeled using directed acyclic graphs (DAGs). We propose an allocation algorithm and sequence of transformations to simplify the problem resolving and handle its combinatorial explosion. We evalaute the effectiveness of the proposed approaches using a large set of synthetic experiments. Keywords: real-time systems; NoC; network-on-chip; SDRAM; partitioned scheduling; task allocation Citation: International Journal of High Performance Systems Architecture, Vol. 11, No. 1 (2022) pp. 1 - 11 PubDate: 2022-04-07T23:20:50-05:00 DOI: 10.1504/IJHPSA.2022.121877 Issue No:Vol. 11, No. 1 (2022)
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Authors:Souad Elhannani, Sidi Mohammed Benslimane, Mohamed Fethi Khalfi, Mostafa Fechfouch Pages: 12 - 25 Abstract: Stress is a serious health problem that affects a large part of humanity. Early stress detection helps preventing stress-related health problems. The Internet of Things (IoT) plays an important role in healthcare monitoring. In this paper, we present an automatic stress detection system (QASIS), to increases the effectiveness and efficiency of healthcare system providing services. QASIS benefits of emerging wearable physiological sensors, specifically, electromyograph (EMG), electrocardiogram (ECG), and nasal/oral airow, to monitors physical, cognitive and emotional stress. Our system uses an Extra Trees Classifier to achieve expected results in the areas like car driving. We also illustrate how the reliability of the contextual information represented by QoC metrics, can enhance the accuracy of the stress detection system. We conducted a stress detection experiment with twenty-six subjects. We confirmed that the proposed system could effectively detect stress, based on the measured breathing rate and the electrical activity of the heart and the muscles. Keywords: QoC; quality of context; healthcare system; situation identification; stress detection; machine learning; extra trees classifier Citation: International Journal of High Performance Systems Architecture, Vol. 11, No. 1 (2022) pp. 12 - 25 PubDate: 2022-04-07T23:20:50-05:00 DOI: 10.1504/IJHPSA.2022.121881 Issue No:Vol. 11, No. 1 (2022)
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Authors:Dallel Nasri, Diab Mokeddem Pages: 26 - 35 Abstract: This paper is concerned in improving the performance of the nature-inspired multi-objective grasshopper optimisation algorithm (MOGOA). The Levy flight technique is used for the first time to boost MOGOA algorithm by providing better solution's diversity. The proposed Levy flight trajectory-based multi-objective grasshopper optimisation algorithm (LMOGOA) benefits from fast convergence speed to the true Pareto-optimal front and thus it overcomes MOGOA drawbacks of premature convergence and local optima stagnation. Then, LMOGOA algorithm is tested on a set of standard multi-objective problems (MOPs) and results proved significantly its out performance compared to MOGOA algorithm. Keywords: MOPs; multi-objective problems; grasshopper optimisation algorithm; Levy flight trajectory; constrained optimisation; Pareto front; genetic algorithm; optimisation; metaheuristic optimisation technique Citation: International Journal of High Performance Systems Architecture, Vol. 11, No. 1 (2022) pp. 26 - 35 PubDate: 2022-04-07T23:20:50-05:00 DOI: 10.1504/IJHPSA.2022.121901 Issue No:Vol. 11, No. 1 (2022)
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Authors:Mahmoud Bersali, Abderrezak Rachedi, Hafida Bouarfa, Mohamed El Amine Badjara Pages: 36 - 46 Abstract: The introduction of the Internet of Things (IoT) has gradually transformed conventional vehicular ad-hoc networks (VANETs) into a new paradigm known as the internet of vehicles (IoV), which has lately been the focus of several researchers. Frequent topological changes and the scalability issue are major problems that affect the performance of IoV. In order to overcome the previous challenges, we propose in this paper a novel cooperative clustering approach based on multi-criteria decision-making (MCDM) methods for IoV named: CMC-IoV, which combines both analytic hierarchy process (AHP) and preference ranking organisation method for enrichment evaluation (PROMETHEE) methods to select the most appropriate leader for each cluster. CMC-IoV supports the cluster stability by selecting a vice cluster leader (VCL) as a complement to the Cluster Leader. We validate the efficiency of the proposed approach by using a realistic scenario from Highway 640 in Knoxville, USA as an input to the NS-3 network simulator. Keywords: VANET; vehicular ad-hoc network; IoV; internet of vehicles; MCDM; multi-criteria decision-making; AHP; PROMETHEE; clustering Citation: International Journal of High Performance Systems Architecture, Vol. 11, No. 1 (2022) pp. 36 - 46 PubDate: 2022-04-07T23:20:50-05:00 DOI: 10.1504/IJHPSA.2022.121923 Issue No:Vol. 11, No. 1 (2022)
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Authors:Shiraz Husain, Namit Gupta Pages: 47 - 58 Abstract: The semiconductor industry is continuously seeking alternatives to complementary metal oxide semiconductor (CMOS) technology for further shrinking and portability in devices. Quantum-dot cellular automata (QCA) is a good nominee and vibrant research topic in nano-regime from last two decades. Since fabrication of QCA is vulnerable to defects, fault tolerant component and circuit design strategies are necessary to circumvent the effects. As majority voter is most basic element in QCA, the reliability of circuits depends on the accurate working of the majority gates. The paper proposes a new five-input majority voter and 2 × 4 decoder with high fault tolerance against several structural defects. An analytical approach is also used for representation of single cell omission defect. The comparative analysis of five input majority voter and decoder is done with previous designs in literature. The proposed designs exhibit high fault tolerance and works equally good in other performance parameters as well. Keywords: decoder; fabrication defects; fault tolerance; majority voter; QCADesigner; QCA; quantum-dot cellular automata Citation: International Journal of High Performance Systems Architecture, Vol. 11, No. 1 (2022) pp. 47 - 58 PubDate: 2022-04-07T23:20:50-05:00 DOI: 10.1504/IJHPSA.2022.121984 Issue No:Vol. 11, No. 1 (2022)
Hybrid journal (It can contain Open Access articles)
[451 journals]
