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Journal articles on the topic 'Low-Power Priority-Based Real-Time Scheduling'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Dhanesh, Lavanya, and P. Murugesan. "A Novel Approach in Scheduling Of the Real- Time Tasks In Heterogeneous Multicore Processor with Fuzzy Logic Technique For Micro-grid Power Management." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 1 (2018): 80. http://dx.doi.org/10.11591/ijpeds.v9.i1.pp80-88.

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Scheduling of tasks based on real time requirement is a major issue in the heterogeneous multicore systemsfor micro-grid power management . Heterogeneous multicore processor schedules the serial tasks in the high performance core and parallel tasks are executed on the low performance cores. The aim of this paper is to implement a scheduling algorithm based on fuzzy logic for heterogeneous multicore processor for effective micro-grid application. Real – time tasks generally have different execution time and dead line. The main idea is to use two fuzzy logic based scheduling algorithm, first is

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Wu, Jie Chang, Jia Hao, and Chao You Guo. "Research on Real-Time Simulation of CAN Bus with Priority Promotion Algorithm." Advanced Materials Research 433-440 (January 2012): 5167–71. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5167.

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In order to analyze and evaluate real-time performance of CAN bus with priority promotion algorithm (PPA), the OPNET model of CAN bus with PPA has been set up in this paper. Based on simulation experiments, the performances of average delay of PPA and Fixed Priority Scheduling (FPS) and Earliest Deadline First (EDF) algorithm are analyzed and the experiments also indicate that in a slight overload condition FPS algorithm makes the transmission delay of low priority data frame increased significantly, and even occurs the phenomenon that low priority data frame can not be sent at any times; EDF

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3

Zhang, Yi-wen, and Chu-gui Xu. "Low power fixed priority scheduling sporadic task with shared resources in hard real time systems." Microprocessors and Microsystems 45 (August 2016): 164–75. http://dx.doi.org/10.1016/j.micpro.2016.04.010.

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4

Shi, Ke, Lin Zhang, Zhiying Qi, Kang Tong, and Hongsheng Chen. "Transmission Scheduling of Periodic Real-Time Traffic in IEEE 802.15.4e TSCH-Based Industrial Mesh Networks." Wireless Communications and Mobile Computing 2019 (September 22, 2019): 1–12. http://dx.doi.org/10.1155/2019/4639789.

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Time-slotted channel hopping (TSCH) is a part of an emerging IEEE 802.15.4e standard to enable deterministic low-power mesh networking, which offers high reliability and low latency for wireless industrial applications. Nonetheless, the standard only provides a framework, but it does not mandate a specific scheduling mechanism for time and frequency slot allocation. This paper focuses on a centralized scheme to schedule multiple concurrent periodic real-time flows in TSCH networks with mesh topology. In our scheme, each flow is assigned a dynamic priority based on its deadline and the hops rem

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Martin, K. M., and B. Seetha Ramanjaneyulu. "Priority Based Centralized Scheduling for Time Slotted Channel Hopping Based Multihop IEEE 802.15.4 Networks." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 363–72. http://dx.doi.org/10.1166/jctn.2020.8676.

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To meet the growing demands of low power and determinism in Industrial Wireless applications, IEEE defined IEEE 802.15.4e amendment that includes many channel access methods. Time Slotted Channel Hopping protocol is one of the most popular MAC protocols under IEEE 802.15.4e. However, scheduling of time slots for time slotted channel hopping, was not part of the protocol and so different scheduling algorithms were proposed by researchers. A new time slotted channel hopping scheduling mechanism that considers priorities to meet the time critical industrial applications is proposed in this work.

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Awadalla, Medhat H. A. "Hybrid Scheduling Scheme for Real Time Systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 6 (2016): 6838–49. http://dx.doi.org/10.24297/ijct.v15i6.1584.

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Systems as asymmetric multiprocessor platforms are considered power-efficient multiprocessor architectures, efficient task partitioning (assignment) and play a crucial role in achieving more energy efficiency at these multiprocessor platforms. This paper addresses the problem of energy-aware static partitioning of periodic real time tasks on heterogeneous multiprocessor platforms. A hybrid approach of Particle Swarm Optimization variant and priority assignment based Min-Min algorithm for task partitioning is proposed. The proposed approach aims to minimize the overall energy consumption, meanw

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Hu, Bo, Xin Liu, Jinghong Zhao, et al. "A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network." Wireless Communications and Mobile Computing 2020 (November 1, 2020): 1–13. http://dx.doi.org/10.1155/2020/8869898.

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With the development of the energy Internet, power communication services are heterogeneous, and different power communication services have different business priorities. The power communication services with different priorities have different requirements for network bandwidth and real-time performance. For traditional unified service, a scheduling method cannot meet these service requirements at the same time, and electric power communication network cannot guarantee the quality of service. Therefore, how to make full use of the time-varying characteristics of communication resources to me

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Wu, Jie Chang, Jia Hao, and Chao You Guo. "Simulation Research on EDF Scheduling Algorithm of CAN Network Based on OPNET." Advanced Materials Research 433-440 (January 2012): 5102–6. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5102.

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In order to analyze and evaluate real-time performance of CAN network, the OPNET models of CAN network with Fixed Priority Scheduling (FPS) and Earliest Deadline First (EDF) have been set up in this paper. Based on simulation experiments, the performances of average delay and transmission success ratio in the two models are analyzed and the experiments also indicate that under normal load condition the two scheduling algorithm both can send data frame successfully before the deadline. In a slight overload condition FPS algorithm makes the transmission delay of low priority data frame significa

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Galván, Luis, Juan Navarro, Eduardo Galván, Juan Carrasco, and Andrés Alcántara. "Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method." Energies 12, no. 4 (2019): 579. http://dx.doi.org/10.3390/en12040579.

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This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications,

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10

Wang, Guan, Yuxin Wang, Hui Liu, and He Guo. "HSIP: A Novel Task Scheduling Algorithm for Heterogeneous Computing." Scientific Programming 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/3676149.

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High-performance heterogeneous computing systems are achieved by the use of efficient application scheduling algorithms. However, most of the current algorithms have low efficiency in scheduling. Aiming at solving this problem, we propose a novel task scheduling algorithm for heterogeneous computing named HSIP (heterogeneous scheduling algorithm with improved task priority) whose functionality relies on three pillars: (1) an improved task priority strategy based on standard deviation with improved magnitude as computation weight and communication cost weight to make scheduling priority more re

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11

Nisar, Kashif. "Fourth Stage of Voice Priority Queue for VoIP over WLANs." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 2 (2012): 48–63. http://dx.doi.org/10.4018/jitn.2012040104.

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Voice over Internet Protocol (VoIP) is growing rapidly during this decade. VoIP is seen as a short-term and long-term transmission for voice and audio traffic and is moving on Wireless Local Area Networks (WLANs) based on IEEE 802.11 standards. Currently, packet scheduling algorithms like Weighted Fair Queuing (WFQ), was mainly designed to provide the bandwidth reservation. The Strict Priority (SP) is low-cost to maintain the delay sensitive voice traffic. Also, a number of research scheduling solutions have been proposed like General processor sharing (GPS), Deficit Round Robin (DRR), Content

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12

Joy, Vijo M., and S. Krishnakumar. "Optimal design of adaptive power scheduling using modified ant colony optimization algorithm." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 738. http://dx.doi.org/10.11591/ijece.v10i1.pp738-745.

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For generating and distributing an economic load scheduling approach, artificial neural network (ANN) has been introduced, because power generation and power consumption are economically non-identical. An efficient load scheduling method is suggested in this paper. Normally the power generation system fails due to its instability at peak load time. Traditionally, load shedding process is used in which low priority loads are disconnected from sources. The proposed method handles this problem by scheduling the load based on the power requirements. In many countries the power systems are facing l

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13

Gharbi, Ibrahim, Hamza Gharsellaoui, and Sadok Bouamama. "A New Hybrid Genetic Algorithm-based Approach for Critical Multiprocessor Real-Time Scheduling with Low Power Optimization." Procedia Computer Science 159 (2019): 1547–57. http://dx.doi.org/10.1016/j.procs.2019.09.325.

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Iacovelli, Saverio, and Raimund Kirner. "A Lazy Bailout Approach for Dual-Criticality Systems on Uniprocessor Platforms." Designs 3, no. 1 (2019): 10. http://dx.doi.org/10.3390/designs3010010.

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A challenge in the design of cyber-physical systems is to integrate the scheduling of tasks of different criticality, while still providing service guarantees for the higher critical tasks in the case of resource-shortages caused by faults. While standard real-time scheduling is agnostic to the criticality of tasks, the scheduling of tasks with different criticalities is called mixed-criticality scheduling. In this paper, we present the Lazy Bailout Protocol (LBP), a mixed-criticality scheduling method where low-criticality jobs overrunning their time budget cannot threaten the timeliness of h

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15

Baek, Jaemin, Jeonghyun Baek, Jeeheon Yoo, and Hyeongboo Baek. "An N-Modular Redundancy Framework Incorporating Response-Time Analysis on Multiprocessor Platforms." Symmetry 11, no. 8 (2019): 960. http://dx.doi.org/10.3390/sym11080960.

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A timing constraint and a high level of reliability are the fundamental requirements for designing hard real-time systems. To support both requirements, the N modular redundancy (NMR) technique as a fault-tolerant real-time scheduling has been proposed, which executes identical copies for each task simultaneously on multiprocessor platforms, and a single correct one is voted on, if any. However, this technique can compromise the schedulability of the target system during improving reliability because it produces N identical copies of each job that execute in parallel on multiprocessor platform

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16

Nisar, Kashif, and Suhaidi Hassan. "Mobility of Mobile Station in Voice Priority Queue Scheduler for VoIPWLANs." Journal of Communications and Computer Engineering 2, no. 3 (2011): 28. http://dx.doi.org/10.20454/jcce.2012.249.

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Voice over Internet Protocol (VoIP) is growing rapidly during this decade. VoIP is seen as a short-term and long-trem transmission for voice and audio traffic. Meanwhile, VoIP is moving on Wireless Local Area Networks (WLANs) based on IEEE 802.11 standards. Currently, many packet scheduling algorithms like Weighted Fair Queuing (WFQ), was mainly designed to provide the bandwidth reservation. The Strict Priority (SP) is low-cost to maintain the delay sensitive voice traffic. Also, a number of research scheduling solutions have been proposed like General processor sharing (GPS), Deficit Round Ro

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17

Chen, Jingfeng, Ping Yang, Jiajun Peng, Yuqi Huang, Yaosheng Chen, and Zhiji Zeng. "An Improved Multi-Timescale Coordinated Control Strategy for Stand-Alone Microgrid with Hybrid Energy Storage System." Energies 11, no. 8 (2018): 2150. http://dx.doi.org/10.3390/en11082150.

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A scientific and effective coordinated control strategy is crucial to the safe and economic operation of a microgrid (MG). With the continuous improvement of the renewable energy source (RES) penetration rate in MG, the randomness and intermittency of its output lead to the increasing regulation pressure of the conventional controllable units, the increase of the operating risk of MG and the difficulty in improving the operational economy. To solve the mentioned problems and take advantage of hybrid energy storage system (HESS), this study proposes a multi-time scale coordinated control scheme

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18

Liu, Peng, Jongwon Yoon, Ha Ryung Kim, and Suman Banerjee. "VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System." Wireless Communications and Mobile Computing 2018 (June 5, 2018): 1–13. http://dx.doi.org/10.1155/2018/7470234.

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Video streaming is one of the killer applications in recent years. Video transcoding plays an important role in the video streaming service to cope with the various purposes. Specifically, content owners and publishers heavily utilize video transcoders to reconfigure source video in a variety of formats, video qualities, and bitrate to provide end users with the best possible quality of service. In this paper, we present VideoCoreCluster, a low-cost and energy-efficient transcoder cluster that is suitable for live streaming services. We designed and implemented real-time video transcoder clust

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19

Asuti, Manjunath G., and Prabhugoud I. Basarkod. "Efficiency enhancement using optimized static scheduling technique in TSCH networks." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1952. http://dx.doi.org/10.11591/ijece.v10i2.pp1952-1962.

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In recent times, the reliable and real-time data transmission becomes a mandatory requirement for various industries and organizations due to the large utilization of Internet of Things (IoT) devices. However, the IoT devices need high reliability, precise data exchange and low power utilization which cannot be achieved by the conventional Medium Access Control (MAC) protocols due to link failures and high interferences in the network. Therefore, the Time-Slotted Channel Hopping (TSCH) networks can be used for link scheduling under the IEEE 802.15.4e standard. In this paper, we propose an Opti

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20

Qian, Ping, Ying Zhen Zhang, and Yu Li. "Design of Voice Control System for Smart Home Based on STM32." Applied Mechanics and Materials 734 (February 2015): 369–74. http://dx.doi.org/10.4028/www.scientific.net/amm.734.369.

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The application of embedded speech recognition technology in the smart home is researched, combining of the Internet of Things, the voice control system for smart home has been designed. The core processor chooses the high-performance Cortex-M4 MCU STM32F407VGT6 produced by STMicroelectronics. The system contains a hardware unit based on LD3320 for speaker-independent speech recognition. RF wireless communication uses ultra-low power chip CC1101 and GSM employ SIM900A. Real-time operating system FreeRTOS is used for multitask scheduling and the operation of household devices. The practical app

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21

Zhang, Yujian, Fei Tong, Chuanyou Li, and Yuwei Xu. "Bi-Objective Workflow Scheduling on Heterogeneous Computing Systems Using a Memetic Algorithm." Electronics 10, no. 2 (2021): 209. http://dx.doi.org/10.3390/electronics10020209.

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Due to the high power bills and the negative environmental impacts, workflow scheduling with energy consciousness has been an emerging need for modern heterogeneous computing systems. A number of approaches have been developed to find suboptimal schedules through heuristics by means of slack reclamation or trade-off functions. In this article, a memetic algorithm for energy-efficient workflow scheduling is proposed for a quality-guaranteed solution with high runtime efficiency. The basic idea is to retain the advantages of population-based, heuristic-based, and local search methods while avoid

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22

Zhang, Zheng, Shouqi Cao, and Yuntengyao Wang. "A Long-Range 2.4G Network System and Scheduling Scheme for Aquatic Environmental Monitoring." Electronics 8, no. 8 (2019): 909. http://dx.doi.org/10.3390/electronics8080909.

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Wireless communications for applications of inshore fishery and large area aquatic environmental monitoring are really challenging, due to the characteristics of a long monitoring period, large coverage area, and adverse transmission conditions. Recently, LPWAN (low-power wide-area network) became the new solution to address these challenges, due to its long transmission distance and low power consumption of end-nodes. In this paper, we designed a novel network system for aquatic environmental monitoring, based on long-range 2.4G technology, which consisted of a low cost dual-channel gateway a

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Khan, Mahnoor, Nadeem Javaid, Sajjad, et al. "Game Theoretical Demand Response Management and Short-Term Load Forecasting by Knowledge Based Systems on the basis of Priority Index." Electronics 7, no. 12 (2018): 431. http://dx.doi.org/10.3390/electronics7120431.

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Demand Response Management (DRM) is considered one of the crucial aspects of the smart grid as it helps to lessen the production cost of electricity and utility bills. DRM becomes a fascinating research area when numerous utility companies are involved and their announced prices reflect consumer’s behavior. This paper discusses a Stackelberg game plan between consumers and utility companies for efficient energy management. For this purpose, analytical consequences (unique solution) for the Stackelberg equilibrium are derived. Besides this, this paper presents a distributed algorithm which conv

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Chéour, Rym, Mohamed Wassim Jmal, and Mohamed Abid. "New combined method for low energy consumption in Wireless Sensor Network applications." SIMULATION 94, no. 10 (2018): 873–85. http://dx.doi.org/10.1177/0037549718759432.

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Over the past few years the applications for Wireless Sensor Networks (WSNs) have grown at an ever-increasing rate. However, the evolution of those networks has been reduced by the energy scarcity. It retards the development of the WSN performances required while exploring new applications and improving the WSN potential. Besides, in order to design energy-efficient solutions, it is important to take into account the power dissipation due to noncompliance with time constraints. As a result, we will provide a model of power management that will be simulated and validated by the STORM Simulator

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Günzel, Mario, Christian Hakert, Kuan-Hsun Chen, and Jian-Jia Chen. "HEART: H ybrid Memory and E nergy- A ware R eal- T ime Scheduling for Multi-Processor Systems." ACM Transactions on Embedded Computing Systems 20, no. 5s (2021): 1–23. http://dx.doi.org/10.1145/3477019.

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Dynamic power management (DPM) reduces the power consumption of a computing system when it idles, by switching the system into a low power state for hibernation. When all processors in the system share the same component, e.g., a shared memory, powering off this component during hibernation is only possible when all processors idle at the same time. For a real-time system, the schedulability property has to be guaranteed on every processor, especially if idle intervals are considered to be actively introduced. In this work, we consider real-time systems with hybrid shared-memory architectures,

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Khalid, Zubair, Ghulam Abbas, Muhammad Awais, Thamer Alquthami, and Muhammad Babar Rasheed. "A Novel Load Scheduling Mechanism Using Artificial Neural Network Based Customer Profiles in Smart Grid." Energies 13, no. 5 (2020): 1062. http://dx.doi.org/10.3390/en13051062.

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In most demand response (DR) based residential load management systems, shifting a considerable amount of load in low price intervals reduces end user cost, however, it may create rebound peaks and user dissatisfaction. To overcome these problems, this work presents a novel approach to optimizing load demand and storage management in response to dynamic pricing using machine learning and optimization algorithms. Unlike traditional load scheduling mechanisms, the proposed algorithm is based on finding suggested low tariff area using artificial neural network (ANN). Where the historical load dem

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Hannon, Christopher, Jiaqi Yan, and Dong Jin. "Distributed Virtual Time-Based Synchronization for Simulation of Cyber-Physical Systems." ACM Transactions on Modeling and Computer Simulation 31, no. 2 (2021): 1–24. http://dx.doi.org/10.1145/3446237.

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Our world today increasingly relies on the orchestration of digital and physical systems to ensure the successful operations of many complex and critical infrastructures. Simulation-based testbeds are useful tools for engineering those cyber-physical systems and evaluating their efficiency, security, and resilience. In this article, we present a cyber-physical system testing platform combining distributed physical computing and networking hardware and simulation models. A core component is the distributed virtual time system that enables the efficient synchronization of virtual clocks among di

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Shahryari, Om-Kolsoom, Amjad Anvari-Moghaddam, and Shadi Shahryari. "Demand side management using the internet of energy based on LoRaWAN technology." Kurdistan Journal of Applied Research 2, no. 3 (2017): 112–19. http://dx.doi.org/10.24017/science.2017.3.35.

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The smart grid, as a communication network, allows numerous connected devices such as sensors, relays and actuators to interact and cooperate with each other. An Internet-based solution for electricity that provides bidirectional flow of information and power is internet of energy (IoE) which is an extension of smart grid concept. A large number of connected devices and the huge amount of data generated by IoE and issues related to data transmission, process and storage, force IoE to be integrated by cloud computing. Furthermore, in order to enhance the performance and reduce the volume of tra

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Et al., Paryati. "Project Delivery of Goods With Limited Resources and Minimum Time Using Fuzzy Logic Method." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 1729–40. http://dx.doi.org/10.17762/turcomat.v12i6.3380.

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In solving the problem of fuzzy application for scheduling delivery of goods with a limited power source and minimal time, the problems that are still not considered in the RCPS problem modeling are the uncertainty characteristics of the parameters of the timing of activities in the delivery project. Even though this can be solved by using the PERT (Project Evaluation and Review Technoloque) method with a probabilistic approach, this technique still ignores the limitations of the supply of resources. Actually, a probabilistic approach can be used, if previously provided data about the experien

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Najoui, Mohamed, Anas Hatim, Said Belkouch, and Noureddine Chabini. "Novel Implementation Approach with Enhanced Memory Access Performance of MGS Algorithm for VLIW Architecture." Journal of Circuits, Systems and Computers 29, no. 12 (2020): 2050200. http://dx.doi.org/10.1142/s021812662050200x.

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Modified Gram–Schmidt (MGS) algorithm is one of the most-known forms of QR decomposition (QRD) algorithms. It has been used in many signal and image processing applications to solve least square problem and linear equations or to invert matrices. However, QRD is well-thought-out as a computationally expensive technique, and its sequential implementation fails to meet the requirements of many real-time applications. In this paper, we suggest a new parallel version of MGS algorithm that uses VLIW (Very Long Instruction Word) resources in an efficient way to get more performance. The presented pa

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Mahmood, Basharat, Naveed Ahmad, Majid Iqbal Khan, and Adnan Akhunzada. "Dynamic Priority Real-Time Scheduling on Power Asymmetric Multicore Processors." Symmetry 13, no. 8 (2021): 1488. http://dx.doi.org/10.3390/sym13081488.

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The use of real-time systems is growing at an increasing rate. This raises the power efficiency as the main challenge for system designers. Power asymmetric multicore processors provide a power-efficient platform for building complex real-time systems. The utilization of this efficient platform can be further enhanced by adopting proficient scheduling policies. Unfortunately, the research on real-time scheduling of power asymmetric multicore processors is in its infancy. In this research, we have addressed this problem and added new results. We have proposed a dynamic-priority semi-partitioned

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Visconti, Paolo, Roberto de Fazio, Ramiro Velázquez, Carolina Del-Valle-Soto, and Nicola Ivan Giannoccaro. "Development of Sensors-Based Agri-Food Traceability System Remotely Managed by a Software Platform for Optimized Farm Management." Sensors 20, no. 13 (2020): 3632. http://dx.doi.org/10.3390/s20133632.

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The huge spreading of Internet of things (IoT)-oriented modern technologies is revolutionizing all fields of human activities, leading several benefits and allowing to strongly optimize classic productive processes. The agriculture field is also affected by these technological advances, resulting in better water and fertilizers’ usage and so huge improvements of both quality and yield of the crops. In this manuscript, the development of an IoT-based smart traceability and farm management system is described, which calibrates the irrigations and fertigation operations as a function of crop typo

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Wang, Yue, David Infield, and Simon Gill. "Smart charging for electric vehicles to minimise charging cost." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 231, no. 6 (2017): 526–34. http://dx.doi.org/10.1177/0957650916688409.

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This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available. Based on this information, an aggregator with access to this data can be employed to minimise electric vehicles charging costs to the owner whilst maintaining acceptable distribution system voltages. In this study, electric vehicle charging is assumed to take place only in the home. A single-phase Low Voltage (LV) distribution network is invest

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Zhao, Yanchao, Jie Wu, Wenzhong Li, and Sanglu Lu. "Efficient Interference Estimation with Accuracy Control for Data-Driven Resource Allocation in Cloud-RAN." Sensors 18, no. 9 (2018): 3000. http://dx.doi.org/10.3390/s18093000.

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The emerging edge computing paradigm has given rise to a new promising mobile network architecture, which can address a number of challenges that the operators are facing while trying to support growing end user’s needs by shifting the computation from the base station to the edge cloud computing facilities. With such powerfully computational power, traditional unpractical resource allocation algorithms could be feasible. However, even with near optimal algorithms, the allocation result could still be far from optimal due to the inaccurate modeling of interference among sensor nodes. Such a di

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Lei, Zhenyang, Xiangdong Lei, and Jun Long. "Memory-Aware Scheduling Parallel Real-Time Tasks for Multicore Systems." International Journal of Software Engineering and Knowledge Engineering 31, no. 04 (2021): 613–34. http://dx.doi.org/10.1142/s0218194021400106.

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Shared resources on the multicore chip, such as main memory, are increasingly becoming a point of contention. Traditional real-time task scheduling policies focus on solely on the CPU, and do not take in account memory access and cache effects. In this paper, we propose parallel real-time tasks scheduling (PRTTS) policy on multicore platforms. Each set of tasks is represented as a directed acyclic graph (DAG). The priorities of tasks are assigned according to task periods Rate Monotonic (RM). Each task is composed of three phases. The first phase is read memory stage, the second phase is execu

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Zhang, Yi-wen, and Rui-feng Guo. "Power-aware fixed priority scheduling for sporadic tasks in hard real-time systems." Journal of Systems and Software 90 (April 2014): 128–37. http://dx.doi.org/10.1016/j.jss.2013.12.032.

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Luo, Yulong. "Application of Reinforcement Learning Algorithm Model in Gas Path Fault Intelligent Diagnosis of Gas Turbine." Computational Intelligence and Neuroscience 2021 (September 17, 2021): 1–10. http://dx.doi.org/10.1155/2021/3897077.

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Gas turbine is widely used because of its advantages of fast start and stop, no pollution, and high thermal efficiency. However, the working environment of high temperature, high pressure, and high speed makes the gas turbine prone to failure. The traditional gas path fault intelligent diagnosis scheme of the gas turbine has the problems of poor control effect and low scheduling accuracy. Experiment studies the application of neural network and reinforcement learning algorithm in gas path fault intelligent diagnosis of the gas turbine. The accurate control of fault diagnosis planning is realiz

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Siddiqui, Mushran, Farhana Akther, Gazi M. E. Rahman, Mohammad Mamun Elahi, Raqibul Mostafa, and Khan A. Wahid. "Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation." Sensors 21, no. 18 (2021): 6040. http://dx.doi.org/10.3390/s21186040.

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Water, one of the most valuable resources, is underutilized in irrigated rice production. The yield of rice, a staple food across the world, is highly dependent on having proper irrigation systems. Alternate wetting and drying (AWD) is an effective irrigation method mainly used for irrigated rice production. However, unattended, manual, small-scale, and discrete implementations cannot achieve the maximum benefit of AWD. Automation of large-scale (over 1000 acres) implementation of AWD can be carried out using wide-area wireless sensor network (WSN). An automated AWD system requires three diffe

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Seol, Ye-In, and Young-Kuk Kim. "Applying Dynamic Priority Scheduling Scheme to Static Systems of Pinwheel Task Model in Power-Aware Scheduling." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/587321.

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Power-aware scheduling reduces CPU energy consumption in hard real-time systems through dynamic voltage scaling (DVS). In this paper, we deal with pinwheel task model which is known as static and predictable task model and could be applied to various embedded or ubiquitous systems. In pinwheel task model, each task’s priority is static and its execution sequence could be predetermined. There have been many static approaches to power-aware scheduling in pinwheel task model. But, in this paper, we will show that the dynamic priority scheduling results in power-aware scheduling could be applied t

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Prasad Arya, Govind, Kumar Nilay, and Devendra Prasad. "An Improved Round Robin CPU Scheduling Algorithm based on Priority of Process." International Journal of Engineering & Technology 7, no. 4.5 (2018): 238. http://dx.doi.org/10.14419/ijet.v7i4.5.20077.

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The most important and integral part of a computer system is its operating system. Scheduling various resources is one of the most critical tasks an operating system needs to perform. Process scheduling being one of those tasks, involves various techniques that define how more than one processes can be executed simultaneously. The primary aim here is to the system more efficient and faster. The fundamental scheduling algorithms are: First Come First Serve (FCFS), Round Robin, Priority Based Scheduling, and Shortest Job First (SJF). This paper focuses on Round Robin Scheduling algorithm and var

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Han, Meiling, Tianyu Zhang, Yuhan Lin, Zhiwei Feng, and Qingxu Deng. "Global Fixed Priority Scheduling with Constructing Execution Dependency in Multiprocessor Real-Time Systems." Journal of Circuits, Systems and Computers 27, no. 10 (2018): 1850165. http://dx.doi.org/10.1142/s0218126618501657.

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The increasing demands for processor performance are driving system designers to adopt multiprocessors. In this paper, we study global fixed priority scheduling in multiprocessor real-time systems and introduce a technique for improving the schedulability. The key idea is to construct execution dependency for selected tasks to leverage slack time and reduce the interference between high-priority and low-priority tasks. Thus, more lower-priority tasks are enabled to be scheduled. Further, we provide a response time analysis method which takes the execution constraint of tasks into consideration

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Vasiliadis, D. C., G. E. Rizos, and C. Vassilakis. "Class-Based Weighted Fair Queuing Scheduling on Dual-Priority Delta Networks." Journal of Computer Networks and Communications 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/859694.

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Contemporary networks accommodate handling of multiple priorities, aiming to provide suitable QoS levels to different traffic classes. In the presence of multiple priorities, a scheduling algorithm is employed to select each time the next packet to transmit over the data link. Class-based Weighted Fair Queuing (CBWFQ) scheduling and its variations is widely used as a scheduling technique, since it is easy to implement and prevents the low-priority queues from being completely neglected during periods of high-priority traffic. By using this scheduling, low-priority queues have the opportunity t

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ABDEL MAKSOUD, EHAB Y. "EFFICIENT COMBINED SCHEDULING OF HARD AND SOFT REAL-TIME TASKS IN MULTIPROCESSOR SYSTEMS UNDER A PROCESSING POWER-SHARE STRATEGY." Parallel Processing Letters 19, no. 01 (2009): 23–38. http://dx.doi.org/10.1142/s0129626409000043.

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Increasingly, real-time systems are being used in applications that contain tasks that have deadlines and require predictable performance. Many complex real-time applications require modern operating systems capable of scheduling multiple classes of tasks in an integrated way. These applications require scheduling that result in high utilization of available processing power to accommodate as many tasks as possible while satisfying the required deadlines of each task. In this paper, we propose a combined heuristic approach to schedule a set of independent soft and hard real-time tasks in multi

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Rodriguez-Zurrunero, Roberto, Ramiro Utrilla, Elena Romero, and Alvaro Araujo. "An Adaptive Scheduler for Real-Time Operating Systems to Extend WSN Nodes Lifetime." Wireless Communications and Mobile Computing 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/4185650.

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Wireless Sensor Networks (WSNs) are a growing research area as a large of number portable devices are being developed. This fact makes operating systems (OS) useful to homogenize the development of these devices, to reduce design times, and to provide tools for developing complex applications. This work presents an operating system scheduler for resource-constraint wireless devices, which adapts the tasks scheduling in changing environments. The proposed adaptive scheduler allows dynamically delaying the execution of low priority tasks while maintaining real-time capabilities on high priority

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Wu, Peng, and Minsoo Ryu. "Best Speed Fit EDF Scheduling for Performance Asymmetric Multiprocessors." Mathematical Problems in Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/1237438.

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In order to improve the performance of a real-time system, asymmetric multiprocessors have been proposed. The benefits of improved system performance and reduced power consumption from such architectures cannot be fully exploited unless suitable task scheduling and task allocation approaches are implemented at the operating system level. Unfortunately, most of the previous research on scheduling algorithms for performance asymmetric multiprocessors is focused on task priority assignment. They simply assign the highest priority task to the fastest processor. In this paper, we propose BSF-EDF (b

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Liu, Peng-Fei, Qun-tai Shen, and Qiu-feng Chen. "Optimization of Power Plant Generating Capacity Scheduling Based On Markov Model." Open Electrical & Electronic Engineering Journal 9, no. 1 (2015): 610–16. http://dx.doi.org/10.2174/1874129001509010610.

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In this paper, we introduced the basic principles of energy saving generation dispatching, generated sorting table and implementation processes, implemented energy-saving generation dispatching optimal electric power industry structure and layout. From the terms of the pilot provinces, energy-saving generation dispatching pilots achieved remarkable results. The article proposed full process energy power scheduling of new concept which covered annual, monthly, recently and real-time full process of energy power scheduling. We established monthly plans range within optimization boot way and impr

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Jiang, Xu, and Xiang Long. "Improved Decomposition-Based Global EDF Scheduling of DAGs." Journal of Circuits, Systems and Computers 27, no. 07 (2018): 1850101. http://dx.doi.org/10.1142/s0218126618501013.

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Recently, an increasing number of real-time systems are implemented on multicore systems. To fully utilize the computation power of multicore systems, the scheduling problem of the real-time parallel task model is receiving more attention. Different types of scheduling algorithms and analysis techniques have been proposed for parallel real-time tasks modeled as directed acyclic graphs (DAG). In this paper, we study the scheduling problem for DAGs under the decomposition paradigm. We propose a new schedulability test and corresponding decomposition strategy. We show that this new decomposition

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Shin, Youngsoo, Kiyoung Choi, and Takayasu Sakurai. "Power-conscious Scheduling for Real-time Embedded Systems Design." VLSI Design 12, no. 2 (2001): 139–50. http://dx.doi.org/10.1155/2001/23925.

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Power efficient design of real-time embedded systems based on programmable processors becomes more important as system functionality is increasingly realized through software. We address a power optimization method for real-time embedded applications on a variable speed processor. The method combines off-line and on-line components. The off-line component determines the lowest possible maximum processor speed while guaranteeing deadlines of all tasks. The on-line component dynamically varies the processor speed or bring a processor into a power-down mode to exploit execution time variations an

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Yuan, Shao Guang, Yong Li Zhu, Guo Liang Zhou, and Ming Kun Wang. "Research on Dynamic Scheduling of Grid Monitoring Data Processing Tasks Based Storm." Applied Mechanics and Materials 651-653 (September 2014): 1051–55. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1051.

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Development of smart grid spawned the big data in electric power industry, the cloud computing platform provided the solution for the big data in electric power industry, it has a significant effect for batch jobs, but its real-time is not guaranteed. For the real-time problem of cloud computing platform, the Storm platform will be introduced to monitor the grid power. This paper studies the fair share scheduling algorithm under the Storm platform. It introduced the concept of Storm framework briefly, then, proposed the fair share scheduling algorithm according to the lack of current Storm sch

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HAAwadalla, Medhat. "Power Efficient Scheduling Scheme based on PSO for Real Time Systems." International Journal of Computer Applications 111, no. 4 (2015): 24–30. http://dx.doi.org/10.5120/19526-1157.

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