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Journal articles on the topic 'Heterogenous scheduling'

Author: Grafiati

Published: 11 March 2023

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1

Patil, Shailesh. "Measurement-Based Opportunistic Scheduling for Heterogenous Wireless Systems." IEEE Transactions on Communications 57, no. 9 (2009): 2745–53. http://dx.doi.org/10.1109/tcomm.2009.09.0800902.

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2

Al-Saqabi, Khaled, Syed Sarwar, and Kassem Saleh. "Distributed gang scheduling in networks of heterogenous workstations." Computer Communications 20, no. 5 (1997): 338–48. http://dx.doi.org/10.1016/s0140-3664(97)00020-0.

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3

Sun, Donglai, Yang Liu, Jianhua Li, and Yue Wu. "Collaborative Opportunistic Scheduling in Heterogeneous Networks: A Distributed Approach." Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/414689.

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We consider a collaborative opportunistic scheduling problem in a decentralized network with heterogeneous users. While most related researches focus on solutions for optimizing decentralized systems’ total performance, we proceed in another direction. Two problems are specifically investigated. (1) With heterogenous users having personal demands, is it possible to have it met by designing distributed opportunistic policies? (2) With a decentralized mechanism, how can we prevent selfish behaviors and enforce collaboration? In our research, we first introduce a multiuser network model along wit

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Ponsy. "Balanced Scheduling of Independent File-Sharing Tasks in Heterogenous Environment." Journal of Computer Science 7, no. 12 (2011): 1793–97. http://dx.doi.org/10.3844/jcssp.2011.1793.1797.

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5

Lai, Shouwen, Binoy Ravindran, and Hyeonjoong Cho. "Heterogenous Quorum-Based Wake-Up Scheduling in Wireless Sensor Networks." IEEE Transactions on Computers 59, no. 11 (2010): 1562–75. http://dx.doi.org/10.1109/tc.2010.20.

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6

Chraibi, Amine, Said Ben Alla, and Abdellah Ezzati. "An efficient cloudlet scheduling via bin packing in cloud computing." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (2022): 3226. http://dx.doi.org/10.11591/ijece.v12i3.pp3226-3237.

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<p>In this ever-developing technological world, one way to manage and deliver services is through cloud computing, a massive web of heterogenous autonomous systems that comprise adaptable computational design. Cloud computing can be improved through task scheduling, albeit it being the most challenging aspect to be improved. Better task scheduling can improve response time, reduce power consumption and processing time, enhance makespan and throughput, and increase profit by reducing operating costs and raising the system reliability. This study aims to improve job scheduling by transferr

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Incrocci, Luca, Paolo Marzialetti, Giorgio Incrocci, et al. "Substrate water status and evapotranspiration irrigation scheduling in heterogenous container nursery crops." Agricultural Water Management 131 (January 2014): 30–40. http://dx.doi.org/10.1016/j.agwat.2013.09.004.

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Hamdi, S., E. Bouazizi, and S. Faiz. "QOS MANAGEMENT IN REAL-TIME SPATIAL BIG DATA USING FEEDBACK CONTROL SCHEDULING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 19, 2015): 243–48. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-243-2015.

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Geographic Information System (GIS) is a computer system designed to capture, store, manipulate, analyze, manage, and present all types of spatial data. Spatial data, whether captured through remote sensors or large scale simulations has always been big and heterogenous. The issue of real-time and heterogeneity have been extremely important for taking effective decision. Thus, heterogeneous real-time spatial data management has become a very active research domain. Existing research has principally focused on querying of real-time spatial data and their updates. But the unpredictability of acc

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Kaur, Sumanpreet, and Mr Navtej Singh Ghumman. "ALLOCATION OF HETEROGENOUS CLOUDLETS ON PRIORITY BASIS IN CLOUD ENVIRONMENT." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 16, no. 3 (2017): 6240–46. http://dx.doi.org/10.24297/ijct.v16i3.6177.

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Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing the performance of the system. In the natural environment, the cloudlets will be processed in the FIFO (First in First Out approach). We propose an improved load balancing algorithm for job scheduling in the Grid environment. Hence, in this research work, various types of leases have been assigned to the cloudlets like cancellable, suspendable a

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Lin, Na, Huimin Yang, Ya Li, and Xuping Wang. "Scheduling multi-pattern precooling service resources for post-harvest fruits and vegetables using the adaptive large neighborhood search." Journal of Physics: Conference Series 2425, no. 1 (2023): 012006. http://dx.doi.org/10.1088/1742-6596/2425/1/012006.

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Abstract This study focuses on the multi-pattern precooling service resources scheduling (MPPSRS) issue recently derived from the practice of small-scale farming. In this issue, a heterogeneous fleet of vehicles belonging to different service pattens is considered to fulfil precooling requests of farmers in the service time windows. The studied issue is regarded as a variant of heterogeneous fleet vehicle routing problem with time windows (HFVRPTW) in which heterogeneous service efficiencies among vehicles are considered. To the best of our knowledge, this is the first time that such a charact

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11

Van der Hem, Klaas G., Gerrit Jan Schuurhuis, Angelika M. Dräger, Joan H. Odding, and Peter C. Huijgens. "Heterogenous effects of bryostatin on human myeloid leukemia clonogenicity: Dose and time scheduling dependency." Leukemia Research 20, no. 9 (1996): 743–50. http://dx.doi.org/10.1016/0145-2126(96)00031-8.

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12

Scherr, Simon André, Steffen Hupp, and Frank Elberzhager. "Establishing Continuous App Improvement by Considering Heterogenous Data Sources." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 10 (2021): 66. http://dx.doi.org/10.3991/ijim.v15i10.20613.

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<p class="0abstract"><span lang="EN-US">Mobile apps have penetrated the market and are being used everywhere. Companies developing apps face increasing challenges such as short time to market or demand for high quality. Furthermore, the success of an app also depends on how users perceive its quality. Feedback provided by users influences other potential users and provides new opportunities for identifying features. Consequently, it is a valuable source of input for app developers with respect to product improvements. One form is textual feedback. This kind of feedback is usually

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Hossain, Md, Mohamed-Slim Alouini, and Vijay Bhargava. "Two-user opportunistic scheduling using hierarchical modulations in wireless networks with heterogenous average link gains." IEEE Transactions on Communications 58, no. 3 (2010): 880–89. http://dx.doi.org/10.1109/tcomm.2010.03.080238.

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Kim, Su Min, Bang Chul Jung, Wan Choi, and Dan Keun Sung. "Effects of Heterogenous Mobility on Rate Adaptation and User Scheduling in Cellular Networks With HARQ." IEEE Transactions on Vehicular Technology 62, no. 6 (2013): 2735–48. http://dx.doi.org/10.1109/tvt.2013.2250533.

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Nevrlý, Vlastimír, Radovan Šomplák, and Pavel Popela. "Heuristics for Waste Collection Arc Routing Problem." MENDEL 25, no. 1 (2019): 15–22. http://dx.doi.org/10.13164/mendel.2019.1.015.

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Waste management is still an expanding eld which needs to be constantly enhanced so that waste transportation and treatment is as eective as possible. An important part of this process is a waste collection at the municipal level. Decision-making about daily routing for all vehicles from a heterogenous eet substantially in uences the expenses of technical services. The need of route scheduling comes also from the newly separated fractions. Transportation features include the capacity of vehicles, number and type of containers on the route, traffic light delays and many others. The mathematical

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Wang, Jingjing, Hongji Meng, Jian Yang, and Zhi Xie. "GPU-Based Cellular Automata Model for Multi-Orient Dendrite Growth and the Application on Binary Alloy." Crystals 13, no. 1 (2023): 105. http://dx.doi.org/10.3390/cryst13010105.

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To simulate dendrite growth with different orientations more efficiently, a high-performance cellular automata (CA) model based on heterogenous central processing unit (CPU)+ graphics processing unit (GPU) architecture has been proposed in this paper. Firstly, the decentered square algorithm (DCSA) is used to simulate the morphology of dendrite with different orientations. Secondly, parallel algorithms are proposed to take full advantage of many cores by maximizing computational parallelism. Thirdly, in order to further improve the calculation efficiency, the task scheduling scheme using multi

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Morici, Kat E., and John D. Bailey. "Long-Term Effects of Fuel Reduction Treatments on Surface Fuel Loading in the Blue Mountains of Oregon." Forests 12, no. 10 (2021): 1306. http://dx.doi.org/10.3390/f12101306.

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Fire exclusion and a lengthening fire season has resulted in an era of megafires. Fuel reduction treatments in forested ecosystems are designed to guard against future extreme wildfire behavior. Treatments create a heterogenous landscape and facilitate ecosystem function and resilience in fire-adapted forests of the western United States. Despite widespread recognition that repeated fuel treatments are needed to maintain desired stand characteristics over time, few field studies have evaluated treatment longevity. The Blue Mountains Fire and Fire Surrogate site in northeastern Oregon presented

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Chu, Myeonghun, Sangmi Moon, Hun Choe, and Intae Hwang. "Performance Analysis of CoMP Using Scheduling and Precoding Techniques in the Heterogeneous Network." International Journal of Information and Electronics Engineering 6, no. 3 (2016): 155–60. http://dx.doi.org/10.18178/ijiee.2016.6.3.615.

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19

Sukhija, Nitin, Brandon Malone, Srishti Srivastava, Ioana Banicescu, and Florina M. Ciorba. "A Learning-based Selection for Portfolio Scheduling of Scientific Applications on Heterogeneous Computing Systems." Parallel & Cloud Computing 3, no. 4 (2014): 66–81. http://dx.doi.org/10.14511/pcc.2014.030401.

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20

Yang, Bomi, Hyunjae Park, and Young-June Choi. "Sojourn Time Analysis Using SRPT Scheduling for Heterogeneous Multi-core Systems." Journal of KIISE 44, no. 3 (2017): 223–31. http://dx.doi.org/10.5626/jok.2017.44.3.223.

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21

Marson, Justin, Graham Litchman, and Darrell Rigel. "Differential Impact of COVID-19 on Urban Versus Rural Dermatologic Practice Logistics and Recovery: A Cross-Sectional Investigation of the First Wave." SKIN The Journal of Cutaneous Medicine 5, no. 2 (2021): 118–24. http://dx.doi.org/10.25251/skin.5.2.6.

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Background: COVID-19 materially delayed patient visits and potential skin cancer biopsies/diagnoses among US dermatology practices. However, given a likely heterogenous impact across the US, this study sought to determine COVID-19’s effect on urban versus rural dermatology practices. Methods: Data were analyzed from the first 1000 responses to 3 pre-validated surveys of 9891 practicing US dermatologists comparing outpatient volumes and scheduling issues for the week of February 17th to the week of March 16th (Survey 1), April 13th (Survey 2) and May 18th, 2020 (Survey 3). First 3 US zip-code d

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22

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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23

Ghose, Anirban, Lokesh Dokara, Soumyajit Dey, and Pabitra Mitra. "A Framework for OpenCL Task Scheduling on Heterogeneous Multicores." Parallel Processing Letters 27, no. 03n04 (2017): 1750008. http://dx.doi.org/10.1142/s0129626417500086.

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We present an intelligent scheduling framework which takes as input a set of OpenCL kernels and distributes the workload across multiple CPUs and GPUs in a heterogeneous multicore platform. The framework relies on a Machine Learning (ML) based frontend that analyzes static program features of OpenCL kernels and predicts the ratio in which kernels are to be distributed across CPUs and GPUs. The framework provides such static analysis information along with system state information like runtime availability details of computing cores using well defined programming interfaces. Such interfaces are

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24

Wang, Zhangquan, Yourong Chen, Banteng Liu, Haibo Yang, Ziyi Su, and Yunkai Zhu. "A sensor node scheduling algorithm for heterogeneous wireless sensor networks." International Journal of Distributed Sensor Networks 15, no. 1 (2019): 155014771982631. http://dx.doi.org/10.1177/1550147719826311.

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To improve the regional coverage rate and network lifetime of heterogeneous wireless sensor networks, a sensor node scheduling algorithm for heterogeneous wireless sensor networks is proposed. In sensor node scheduling algorithm, heterogeneous perception radius of sensor node is considered. Incomplete coverage constraint and arc coverage interval are analyzed. Regional coverage increment optimization model, arc coverage increment optimization model, and residual energy optimization model are proposed. Multi-objective scheduling model is established using weight factors and integrated function.

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25

Wu, Dian Hong. "Task Optimization Scheduling Algorithm in Embedded System Based on Internet of Things." Applied Mechanics and Materials 513-517 (February 2014): 2398–402. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2398.

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Embedded system has been widely used in the network, server, etc., and it has a good application prospect with the development of Internet of things. In the embedded heterogeneous computing system, task scheduling is the key to deciding the system performance. For multi-task scheduling, the current scheduling algorithm is mostly based on task duplication, without a full consideration of the correlation between the predecessor task and its subsequent tasks. Based on modeling the multi-frame task scheduling problem in the heterogeneous embedded system, this paper analyzes the availability of tas

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Stan, Roxana-Gabriela, Lidia Băjenaru, Cătălin Negru, and Florin Pop. "Evaluation of Task Scheduling Algorithms in Heterogeneous Computing Environments." Sensors 21, no. 17 (2021): 5906. http://dx.doi.org/10.3390/s21175906.

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This work establishes a set of methodologies to evaluate the performance of any task scheduling policy in heterogeneous computing contexts. We formally state a scheduling model for hybrid edge–cloud computing ecosystems and conduct simulation-based experiments on large workloads. In addition to the conventional cloud datacenters, we consider edge datacenters comprising smartphone and Raspberry Pi edge devices, which are battery powered. We define realistic capacities of the computational resources. Once a schedule is found, the various task demands can or cannot be fulfilled by the resource ca

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27

Wang, Xingkai, Weimin Wu, and Zichao Xing. "Multi-decision points model to solve coupled-task scheduling problem with heterogeneous multi-AGV in manufacturing systems." International Journal of Industrial Engineering Computations 14, no. 1 (2023): 49–64. http://dx.doi.org/10.5267/j.ijiec.2022.10.003.

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Automated guided vehicle (AGV) is widely used in automated manufacturing systems as a material handling tool. Although the task scheduling problem with isomorphic AGV has remained a very active research field through the years, too little work has been devoted to the task scheduling problems with heterogeneous AGVs. A coupled task with heterogeneous AGVs is a complex task that needs the cooperation of more than one type of AGVs. In this paper, a manufacturing system with two types of AGVs and three types of tasks is studied. To solve the coupled task scheduling problem with heterogeneous AGVs

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Lu, You Wei, Zhen Zhen Xu, and Feng Xia. "Prediction-Based Independent Task Scheduling for Heterogeneous Distributed Computing Systems." Advanced Materials Research 457-458 (January 2012): 1039–46. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1039.

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Independent task scheduling algorithms in distributed computing systems deal with three main conflicting factors including load balance, task execution time and scheduling cost. In this paper, the problem of scheduling tasks arriving at a low rate and with long execution time in heterogeneous computing systems is studied, and a new scheduling algorithm based on prediction is proposed. This algorithm evaluates the utility of task scheduling based on statistics and prediction to solve the influence of heterogeneous computing systems. The experimental results reveal that the proposed algorithm ad

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Li, Yaofang, and Bin Wu. "Software-Defined Heterogeneous Edge Computing Network Resource Scheduling Based on Reinforcement Learning." Applied Sciences 13, no. 1 (2022): 426. http://dx.doi.org/10.3390/app13010426.

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With the rapid development of wireless networks, wireless edge computing networks have been widely considered. The heterogeneous characteristics of the 6G edge computing network bring new challenges to network resource scheduling. In this work, we consider a heterogeneous edge computing network with heterogeneous edge computing nodes and task requirements. We design a software-defined heterogeneous edge computing network architecture to separate the control layer and the data layer. According to different requirements, the tasks in heterogeneous edge computing networks are decomposed into mult

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30

Gupta, Anupam, Ravishankar Krishnaswamy, and Kirk Pruhs. "Nonclairvoyantly scheduling power-heterogeneous processors." Sustainable Computing: Informatics and Systems 1, no. 3 (2011): 248–55. http://dx.doi.org/10.1016/j.suscom.2011.05.007.

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31

Albers, Susanne, Evripidis Bampis, Dimitrios Letsios, Giorgio Lucarelli, and Richard Stotz. "Scheduling on power-heterogeneous processors." Information and Computation 257 (December 2017): 22–33. http://dx.doi.org/10.1016/j.ic.2017.09.013.

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32

Righter, Rhonda, and Susan XU. "Scheduling jobs on heterogeneous processors." Annals of Operations Research 29, no. 1 (1991): 587–601. http://dx.doi.org/10.1007/bf02283615.

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33

Xie, Hui, Li Wei, Dong Liu, and Luda Wang. "Task Scheduling in Heterogeneous Computing Systems Based on Machine Learning Approach." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 12 (2020): 2051012. http://dx.doi.org/10.1142/s021800142051012x.

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Task scheduling problem of heterogeneous computing system (HCS), which with increasing popularity, nowadays has become a research hotspot in this domain. The task scheduling problem of HCS, which can be described essentially as assigning tasks to the proper processor for executing, has been shown to be NP-complete. However, the existing scheduling algorithm suffers from an inherent limitation of lacking global view. Here, we reported a novel task scheduling algorithm based on Multi-Logistic Regression theory (called MLRS) in heterogeneous computing environment. First, we collected the best sch

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34

Jamadagni, Nagendra Kumar, Aniruddh M, Dr Govinda Raju M, and Dr Usha Rani K. R. "Comparative Study of Heterogeneous Multicore Scheduling Algorithms on Media Codecs." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 840–49. http://dx.doi.org/10.51201/jusst/21/05355.

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All modern-day computers and smartphones come with multi-core CPUs. The multicore architecture is generally heterogeneous in nature to maximize computational throughput. These multicore systems exploit thread-level parallelism to deliver higher performance, but they are limited by the requirement of good scheduling algorithms that maximize CPU utility and minimize wasted and idle cycles. With the rise in streaming services and multimedia capabilities of smartphones, it is necessary to have efficient heterogeneous cores which are capable of performing multimedia processing at a fast pace. It is

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Zhai, Wenzheng, Yue-Li Hu, and Feng Ran. "CQPSO scheduling algorithm for heterogeneous multi-core DAG task model." Modern Physics Letters B 31, no. 19-21 (2017): 1740050. http://dx.doi.org/10.1142/s0217984917400504.

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Efficient task scheduling is critical to achieve high performance in a heterogeneous multi-core computing environment. The paper focuses on the heterogeneous multi-core directed acyclic graph (DAG) task model and proposes a novel task scheduling method based on an improved chaotic quantum-behaved particle swarm optimization (CQPSO) algorithm. A task priority scheduling list was built. A processor with minimum cumulative earliest finish time (EFT) was acted as the object of the first task assignment. The task precedence relationships were satisfied and the total execution time of all tasks was

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Liu, Peng Fei, and Shou Bin Dong. "Multi-Objective Scheduling for Parallel Jobs on Grid." Key Engineering Materials 439-440 (June 2010): 1281–86. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1281.

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Focused on the complexity of the parallel job scheduling on heterogeneous Grid, the paper proposes a multi-objective optimization based scheduling algorithm. The algorithm first splits the parallel job up into a series of independent processes with constraints, and then adopts particles to represent the mapping of job-resource. Multi-objective PSO is employed to simultaneously optimize the scheduling objectives of throughput and average turnaround time. Experimental result indicates that the proposed approach is effective while dealing with large scale parallel jobs scheduling on heterogeneous

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37

Guo, Hong, Jiayin Zhou, and Haonan Gu. "Limited Duplication-Based List Scheduling Algorithm for Heterogeneous Computing System." Micromachines 13, no. 7 (2022): 1067. http://dx.doi.org/10.3390/mi13071067.

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Efficient scheduling algorithms have been a leading research topic for heterogeneous computing systems. Although duplication-based scheduling algorithms can significantly reduce the total completion time, they are generally accompanied by an exorbitant time complexity. In this paper, we propose a new task duplication-based heuristic scheduling algorithm, LDLS, that can reduce the total completion time and maintains a low time complexity. The scheduling procedure of LDLS is composed of three main phases: In the beginning phase, the maximum number of duplications per level and per task is calcul

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38

Wang, Jingjing, Y. F. Zhang, L. Geng, J. Y. H. Fuh, and S. H. Teo. "A Heuristic Mission Planning Algorithm for Heterogeneous Tasks with Heterogeneous UAVs." Unmanned Systems 03, no. 03 (2015): 205–19. http://dx.doi.org/10.1142/s2301385015500132.

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This paper investigates the unmanned aerial vehicle (UAV)-mission planning problem (MPP) in which one needs to quickly find a good plan/schedule to carry out various tasks of different time windows at various locations using a fleet of fixed-winged heterogeneous UAVs. Such a realistic and complex UAV-MPP is decomposed into two sub-problems: flight path planning and task scheduling. A graph construction and search algorithm is developed for the flight path generation. For the task scheduling problem, a new hybrid algorithm based on heuristic has been proposed: (1) small-to-medium sized problem

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39

BEAUMONT, OLIVIER, ARNAUD LEGRAND, LORIS MARCHAL, and YVES ROBERT. "STEADY-STATE SCHEDULING ON HETEROGENEOUS CLUSTERS." International Journal of Foundations of Computer Science 16, no. 02 (2005): 163–94. http://dx.doi.org/10.1142/s0129054105002930.

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This paper considers steady-state scheduling techniques for heterogeneous systems, such as clusters and grids. The use of steady-state scheduling is advocated to solve a variety of important problems, which would be too difficult to tackle with the objective of makespan minimization. Several examples are given, namely master-slave tasking, mixed task and data parallelism, and pipelined macro-communications (scatter, broadcast, multicast). For each example, both the advantages and the limitations of the approach are discussed.

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Bibal, J. V. Benifa, and D. Dejey. "An Auto-Scaling Framework for Heterogeneous Hadoop Systems." International Journal of Cooperative Information Systems 26, no. 04 (2017): 1750004. http://dx.doi.org/10.1142/s0218843017500046.

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The scalability of the cloud infrastructure is essential to perform large-scale data processing using MapReduce programming model by automatically provisioning and de-provisioning the resources on demand. The existing MapReduce model shows performance degradation while getting adapted to heterogeneous environments since sufficient techniques are not available to scale the resources on demand and the scheduling algorithms would not cooperate as the resources are configured dynamically. An Auto-Scaling Framework (ASF) is presented in this article to configure the resources automatically based on

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41

Chaudhuri, Pranay, and Jeffrey Elcock. "Process Scheduling in Heterogeneous Multiprocessor Systems Using Task Duplication." International Journal of Business Data Communications and Networking 6, no. 1 (2010): 58–69. http://dx.doi.org/10.4018/jbdcn.2010010104.

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Scheduling tasks in heterogeneous parallel and distributed computing environments continues to be a challenging problem. In this paper, the authors investigate the Heterogeneous Earliest Finish Time (HEFT) algorithm, along with alternative scheduling policies for task prioritising phases and the Critical Path on a Processor (CPOP) for scheduling tasks on a heterogeneous multiprocessor system. The authors show that by combining the HEFT algorithm selection policy with the task duplication strategy, it is possible to further reduce the schedule length produced by both HEFT and CPOP. The process

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Arar, Chafik, and Mohamed Salah Khireddine. "Hybrid Software Redundancy Approach for Building Reliable Communication in Multi-BUS Heterogeneous Systems." International Journal of Reliability, Quality and Safety Engineering 23, no. 04 (2016): 1650013. http://dx.doi.org/10.1142/s0218539316500133.

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The paper proposes a new reliable fault-tolerant scheduling algorithm for real-time embedded systems. The proposed algorithm is based on static scheduling that allows to include the dependencies and the execution cost of tasks and data dependencies in its scheduling decisions. Our scheduling algorithm is dedicated to multi-bus heterogeneous architectures with multiple processors linked by several shared buses. This scheduling algorithm is considering only one bus fault caused by hardware faults and compensated by software redundancy solutions. The proposed algorithm is based on both active and

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43

Zhou, Naqin, Xiaowen Liao, Fufang Li, Yuanyong Feng, and Liangchen Liu. "List Scheduling Algorithm Based on Virtual Scheduling Length Table in Heterogeneous Computing System." Wireless Communications and Mobile Computing 2021 (December 11, 2021): 1–16. http://dx.doi.org/10.1155/2021/9529022.

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Edge computing needs the close cooperation of cloud computing to better meet various needs. Therefore, ensuring the efficient implementation of applications in cloud computing is not only related to the development of cloud computing itself but also affects the promotion of edge computing. However, resource management and task scheduling strategy are important factors affecting the efficient implementation of applications. Therefore, aiming at the task scheduling problem in cloud computing environment, this paper proposes a new list scheduling algorithm, namely, based on a virtual scheduling l

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Orfanidis, Charalampos, Atis Elsts, Paul Pop, and Xenofon Fafoutis. "TSCH Evaluation under Heterogeneous Mobile Scenarios." IoT 2, no. 4 (2021): 656–68. http://dx.doi.org/10.3390/iot2040033.

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Time Slotted Channel Hopping (TSCH) is a medium access protocol defined in the IEEE 802.15.4 standard. It has proven to be one of the most reliable options when it comes to industrial applications. TSCH offers a degree of high flexibility and can be tailored to the requirements of specific applications. Several performance aspects of TSCH have been investigated so far, such as the energy consumption, reliability, scalability and many more. However, mobility in TSCH networks remains an aspect that has not been thoroughly explored. In this paper, we examine how TSCH performs under mobility situa

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45

Mace, Ruth. "The co-evolution of human fertility and wealth inheritance strategies." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 353, no. 1367 (1998): 389–97. http://dx.doi.org/10.1098/rstb.1998.0217.

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Life history theory concerns the scheduling of births and the level of parental investment in each offspring. In most human societies the inheritance of wealth is an important part of parental investment. Patterns of wealth inheritance and other reproductive decisions, such as family size, would be expected to influence each other. Here I present an adaptive model of human reproductive decision-making, using a state-dependent dynamic model. Two decisions made by parents are considered: when to have another baby, and thus the pattern of reproduction through life; and how to allocate resources b

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Chen, Ruey-Maw, and Chuin-Mu Wang. "Project Scheduling Heuristics-Based Standard PSO for Task-Resource Assignment in Heterogeneous Grid." Abstract and Applied Analysis 2011 (2011): 1–20. http://dx.doi.org/10.1155/2011/589862.

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The task scheduling problem has been widely studied for assigning resources to tasks in heterogeneous grid environment. Effective task scheduling is an important issue for the performance of grid computing. Meanwhile, the task scheduling problem is an NP-complete problem. Hence, this investigation introduces a named “standard“ particle swarm optimization (PSO) metaheuristic approach to efficiently solve the task scheduling problems in grid. Meanwhile, two promising heuristics based on multimode project scheduling are proposed to help in solving interesting scheduling problems. They are the bes

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Lin, Weiwei, Wentai Wu, and James Z. Wang. "A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters." Scientific Programming 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7040276.

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Cloud computing provides on-demand computing and storage services with high performance and high scalability. However, the rising energy consumption of cloud data centers has become a prominent problem. In this paper, we first introduce an energy-aware framework for task scheduling in virtual clusters. The framework consists of a task resource requirements prediction module, an energy estimate module, and a scheduler with a task buffer. Secondly, based on this framework, we propose a virtual machine power efficiency-aware greedy scheduling algorithm (VPEGS). As a heuristic algorithm, VPEGS est

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Park, Bongsang, Junghyo Nah, Jang-Young Choi, Ick-Jae Yoon, and Pangun Park. "Transmission Scheduling Schemes of Industrial Wireless Sensors for Heterogeneous Multiple Control Systems." Sensors 18, no. 12 (2018): 4284. http://dx.doi.org/10.3390/s18124284.

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The transmission scheduling scheme of wireless networks for industrial control systems is a crucial design component since it directly affects the stability of networked control systems. In this paper, we propose a novel transmission scheduling framework to guarantee the stability of heterogeneous multiple control systems over unreliable wireless channels. Based on the explicit control stability conditions, a constrained optimization problem is proposed to maximize the minimum slack of the stability constraint for the heterogeneous control systems. We propose three transmission scheduling sche

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Zhang, Jian Jun, Tian Hong Wang, and Yu Zhuo Wang. "Expected Cost Based Greedy Scheduling Algorithm for Out-Tree Task Graphs." Applied Mechanics and Materials 556-562 (May 2014): 3431–37. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3431.

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Effective task scheduling is crucial for achieving high performance in heterogeneous computing environments. Whiling scheduling Out-Tree task graphs, many previous heterogeneity based heuristic algorithms usually require high scheduling costs and may not deliver good quality schedules with lower costs. Aiming at the characteristics of Out-Tree task graphs and the features of heterogeneous environments and adopting the strategy based on expected costs and task duplications, this paper proposes a greedy scheduling algorithm, which, at each scheduling step, tries to guarantee not to increase the

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Li, Qianmu, Shunmei Meng, Xiaonan Sang, et al. "Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing." ACM Transactions on Internet Technology 21, no. 3 (2021): 1–33. http://dx.doi.org/10.1145/3408291.

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Volunteer computing uses computers volunteered by the general public to do distributed scientific computing. Volunteer computing is being used in high-energy physics, molecular biology, medicine, astrophysics, climate study, and other areas. These projects have attained unprecedented computing power. However, with the development of information technology, the traditional defense system cannot deal with the unknown security problems of volunteer computing . At the same time, Cyber Mimic Defense (CMD) can defend the unknown attack behavior through its three characteristics: dynamic, heterogeneo

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