Academic literature on the topic 'DAG task'
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Journal articles on the topic "DAG task"
Liu, Zhiguo, Luxi Zhang, Lin Wang, Xiaoqi Dong, and Junlin Rong. "Research on Multi-DAG Satellite Network Task Scheduling Algorithm Based on Cache-Composite Priority." Electronics 13, no. 4 (February 15, 2024): 763. http://dx.doi.org/10.3390/electronics13040763.
Full textZhao, Yao, Jian Dong, Hongwei Liu, Jin Wu, and Yanxin Liu. "Performance Improvement of DAG-Aware Task Scheduling Algorithms with Efficient Cache Management in Spark." Electronics 10, no. 16 (August 4, 2021): 1874. http://dx.doi.org/10.3390/electronics10161874.
Full textCai, Lingfeng, Xianglin Wei, Changyou Xing, Xia Zou, Guomin Zhang, and Xiulei Wang. "Failure-resilient DAG task scheduling in edge computing." Computer Networks 198 (October 2021): 108361. http://dx.doi.org/10.1016/j.comnet.2021.108361.
Full textJiang, Yuyi, Zhiqing Shao, Yi Guo, Huanhuan Zhang, and Kun Niu. "DRSCRO: A Metaheuristic Algorithm for Task Scheduling on Heterogeneous Systems." Mathematical Problems in Engineering 2015 (2015): 1–20. http://dx.doi.org/10.1155/2015/396582.
Full textVucha, Mahendra, and Arvind Rajawat. "Dynamic Task Distribution Model for On-Chip Reconfigurable High Speed Computing System." International Journal of Reconfigurable Computing 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/783237.
Full textKaur, Mandeep, and Balwinder Singh Sohi. "Efficient DAG Task Scheduling Algorithm for Wireless Sensor Networks." International Journal of Computer Sciences and Engineering 6, no. 12 (December 31, 2018): 735–43. http://dx.doi.org/10.26438/ijcse/v6i12.735743.
Full textZhai, 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 (July 27, 2017): 1740050. http://dx.doi.org/10.1142/s0217984917400504.
Full textVoudouris, Petros, Per Stenström, and Risat Pathan. "Federated Scheduling of Sporadic DAGs on Unrelated Multiprocessors." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–25. http://dx.doi.org/10.1145/3477018.
Full textSingh, Manjeet, and Javalkar Dinesh Kumar. "DBRS: Directed Acyclic Graph based Reliable Scheduling Approach in Large Scale Computing." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 11 (November 30, 2022): 40–46. http://dx.doi.org/10.17762/ijritcc.v10i11.5778.
Full textTaufer, Michela, and Arnold L. Rosenberg. "Scheduling DAG-based workflows on single cloud instances: High-performance and cost effectiveness with a static scheduler." International Journal of High Performance Computing Applications 31, no. 1 (July 28, 2016): 19–31. http://dx.doi.org/10.1177/1094342015594518.
Full textDissertations / Theses on the topic "DAG task"
VERUCCHI, MICAELA. "Analisi esaustiva di DAG task: soluzioni per moderni sistemi real-time embedded." Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2021. http://hdl.handle.net/11380/1237396.
Full textModern cyber-physical embedded systems integrate several complex functionalities that are subject to tight timing constraints. Unfortunately, traditional sequential task models and uniprocessors solutions can not be applied in this context: a more expressive model becomes necessary. In this scenario, the Directed Acyclic Graph (DAG) is a suitable model to express the complexity and the parallelism of the tasks of these kinds of systems. In recent years, several methods with different settings have been proposed to solve the schedulability problem for applications featuring DAG tasks. However, there are still many open problems left. Besides schedulability, aspects like the freshness of data or reaction to an event are crucial for the performance of those kind of systems. For example, a typical application in the automotive field is composed of sensing the environment, planning, and actuate consequently to the elaborated data. Control end-to-end latency is then decisive, and it can get very complicated in real scenarios. This thesis represents an effort in both directions: (i) the schedulability of a DAG task on a multiprocessor, and (ii) the supervision of end-to-end latency for multi-rate tasks. For the former problem, a survey of the state-of-the-art of the Directed Acyclic Graph task model is presented, with a focus on scheduling tests that are more effective, easy to implement, and adopt. Regarding the latter, a method is proposed to convert a multi-rate DAG task-set with timing constraints into a single-rate DAG that optimizes schedulability, age, and reaction latency.
Chieregato, Federico. "Modelling task execution time in Directed Acyclic Graphs for efficient distributed management." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Find full textMazouzi, Houssemeddine. "Algorithmes pour le déchargement de tâches sur serveurs de périphérie." Thesis, Paris 13, 2019. http://www.theses.fr/2019PA131076.
Full textComputation offloading is one of the most promising paradigm to overcome the lack of computational resources in mobile devices. Basically, it allows the execution of part orall of a mobile application in the cloud. The main objective is to reduce both execution time and energy consumption for the mobile terminals. Unfortunately, even if clouds have rich computing and storage resources, they are usually geographically far from mobile applications and may suffer from large delays, which is particularly problematic for mobile applications with small response time requirements. To reduce this long delay, one of the emerging approach is to push the cloud to the network edge. This proximity gives the opportunity to mobile users to offload their tasks to “local” cloud for processing. An Edge Cloud can be seen as small data center acting as a shadow image of larger data centers. This geographical proximity between mobile applications and edge cloud means that the access delay can be greatly reduced, but affects also higher throughput, improved responsiveness and better scalability. In this thesis, we focus on computation offloading in mobile environment (Mobile Edge Computing - MEC), composed of several edge servers. Our goal is to explore new and effective offloading strategies to improve applications performances in both execution time and energy consumption, while ensuring application requirements. Our first contribution is a new offloading strategy in the case of multiple edge servers. Thenwe extend this strategy to include the Cloud. Both strategies have been evaluated theoretically and experimentally by the implementation of an offloading middleware. Finally, we propose a new elastic approach in the case of multitasking applications characterized by a graph of dependencies between tasks
Ben, Amor Slim. "Ordonnancement des tâches avec des dépendances et des temps d’exécution probabilistes sur processeur multi-cœurs." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS188.
Full textThe continuous integration of new functionality increases the complexity of embedded systems, while each functionality might impose precedence constraints between the programs fulfilling it. In addition, the prevalence of several processors may create the illusion of higher computation capacity easing the associated scheduling problem. However, this capacity is not exploitable in critical real time systems because of the increased variability of the execution times due to processor features designed to provide excellent average time behavior and not necessarily ensuring small worst case bounds. This difficulty is added to the existence of scheduling anomalies when the systems are built a top of multi-core processors. In this thesis, we consider partitioned scheduling of DAG tasks defining precedence constraints. The variability of execution times is described by probability distributions. We propose a Response Time Analysis (RTA) based on iterative equations and probabilistic operators for independent distributions. For dependent distributions, we model them using Bayesian network. We also use C-space representation combined with SVM classification to estimate the schedulability probability. Moreover, we provide techniques to define priority and sub-task partitioning in a way to increase parallelism. We also decrease analysis complexity by reducing size of graph without altering the precedence structures
Qamhieh, Manar. "Scheduling of parallel real-time DAG tasks on multiprocessor systems." Thesis, Paris Est, 2015. http://www.theses.fr/2015PEST1030/document.
Full textThe interest for multiprocessor systems has recently been increased in industrial applications, and parallel programming API's have been introduced to benefit from new processing capabilities. The use of multiprocessors for real-time systems, whose execution is performed based on certain temporal constraints is now investigated by the industry. Real-time scheduling problem becomes more complex and challenging in that context. In multiprocessor systems, a hard real-time scheduler is responsible for allocating ready jobs to available processors of the systems while respecting their timing parameters. In this thesis, we study the problem of real-time scheduling of parallel Directed Acyclic Graph (DAG) tasks on homogeneous multiprocessor systems. In this model, a DAG task consists of a set of subtasks that execute under precedence constraints. At all times, the real-time scheduler is responsible for determining how subtasks execute, either sequentially or in parallel, based on the available processors of the system. We propose two DAG scheduling approaches to determine the execution form of DAG tasks. The first approach is the DAG Stretching algorithm, from the Model Transformation approach, which forces DAG tasks to execute as sequentially as possible. The second approach is the Direct Scheduling, which aims at scheduling DAG tasks while respecting their internal dependencies. We provide real-time schedulability analyses for Direct Scheduling at DAG-Level and at Subtask-Level. Due to the incomparability of DAG scheduling approaches, we use extensive simulations to compare performance of global EDF with global DM scheduling using our simulation tool YARTISS
Stutzman, Rick Lloyd. "A cross-validation study of Das's simultaneous-successive-planning model /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487266362338663.
Full textMeisner, Tomáš. "Integrace dat a možnosti automatického zpracování úloh." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-9918.
Full textWaldenvik, Caroline. "En dag av språkstimulering." Thesis, Malmö högskola, Fakulteten för lärande och samhälle (LS), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-34677.
Full textGrepl, Filip. "Aplikace pro řízení paralelního zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445490.
Full textRoss, Alleyne Patricia. "Individual Differences in Preschool Aged Children's Inhibitory Control: Adding Borders to the Day/Night Task." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/78096.
Full textMaster of Science
Books on the topic "DAG task"
Illinois. Governor's Task Force on Day Care. Governor's Task Force on Day Care: Final report. [Springfield, Ill.]: The Task Force, 1987.
Find full textCasofa, Fachmy. Tak boleh lelah dan kalah. Solo: Metagraf, 2014.
Find full textBubílková, Zuzana. Co týden (ne)dal. Praha: Nakl. Lidové noviny, 1993.
Find full textNasional, Institut Keguruan dan Ilmu Pendidikan Saraswati Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam Seminar. Optimalisasi lingkungan, organisasi, dan task menuju pembelajaran enase: Buku prosiding. Tabanan: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam, Institut Keguruan dan Ilmu Pendidikan Saraswati bekerja sama dengan Pustaka Larasan, 2012.
Find full textChild care: A workforce issue : report of the Secretary's Task Force. [Washington, D.C.?]: U.S. Department of Labor, 1988.
Find full textW, Awdry. 3-dai no kikansha. Tōkyō: Popurasha, 2005.
Find full textSpirn, Michele. The Know-Nothings talk turkey. New York: HarperCollins, 2000.
Find full textMeishun, Jin, ed. Han yu jian dan shuo: Korean easy talk. Taibei Xian Zhonghe Shi: Tong yi chu ban she you xian gong si, 2005.
Find full textH, Molgard Max, ed. Straight talk about gospel principles. Salt Lake City, Utah: Bookcraft, 1994.
Find full textPaulsen, Jan. Let's talk: Conversations with young Adventists about their church. Nampa, Idaho: Pacific Press Pub. Association, 2013.
Find full textBook chapters on the topic "DAG task"
Chen, Chen, and Jie Zhu. "DAG-Based Task Scheduling Optimization in Heterogeneous Distributed Systems." In Computer Supported Cooperative Work and Social Computing, 303–16. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9637-7_23.
Full textRajak, Nidhi, and Diwakar Shukla. "An Efficient Task Scheduling Strategy for DAG in Cloud Computing Environment." In Advances in Intelligent Systems and Computing, 273–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1518-7_23.
Full textShu, Lang, Guanyan Pan, Bei Wang, Wenbing Peng, Minhui Fang, Yifei Chen, Fanding Huang, Songchen Li, and Yuxia Cheng. "Smart DAG Task Scheduling Based on MCTS Method of Multi-strategy Learning." In Algorithms and Architectures for Parallel Processing, 224–42. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0834-5_14.
Full textZhao, Tianqi, Mingyue Zhao, Yue Shi, and Kuangyu Zheng. "SPath: An Energy-Efficient DAG Task Offloading Scheme with Space-Ground Cooperative Computing." In Lecture Notes in Computer Science, 499–510. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2233-8_36.
Full textTian, Yuan, Füsun Özgüner, and Eylem Ekici. "Comparison of Hyper-DAG Based Task Mapping and Scheduling Heuristics for Wireless Sensor Networks." In Computer and Information Sciences - ISCIS 2005, 74–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569596_10.
Full textLasko, Wolf W., and Lara M. Lasko. "Das Wunder der Kommunikation." In Charisma-Talk, 23–24. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-02984-5_12.
Full textLasko, Wolf W., and Lara M. Lasko. "Das Energieecho des Handelns." In Charisma-Talk, 3–4. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-02984-5_2.
Full textBaruah, Sanjoy, Marko Bertogna, and Giorgio Buttazzo. "The Sporadic DAG Tasks Model." In Embedded Systems, 191–204. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08696-5_21.
Full textBeetz, Maud. "Ohne Small Talk kein Business Talk." In Der Knigge für das Bankgeschäft, 119–40. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8200-1_9.
Full textLasko, Wolf W. "Das Gespräch beleben." In Small Talk und Karriere, 113–54. Wiesbaden: Gabler Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-87156-5_2.
Full textConference papers on the topic "DAG task"
Li, Xiang, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Kwang Taik Kim, and Saurabh Bagchi. "DAG-based Task Orchestration for Edge Computing." In 2022 41st International Symposium on Reliable Distributed Systems (SRDS). IEEE, 2022. http://dx.doi.org/10.1109/srds55811.2022.00013.
Full textBaruah, Sanjoy. "Federated Scheduling of Sporadic DAG Task Systems." In 2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2015. http://dx.doi.org/10.1109/ipdps.2015.33.
Full textShang, Ying, Jinglei Li, and Xiguang Wu. "DAG-based Task Scheduling in Mobile Edge Computing." In 2020 7th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2020. http://dx.doi.org/10.1109/icisce50968.2020.00095.
Full textPeccerillo, Biagio, and Sandro Bartolini. "Task-DAG Support in Single-Source PHAST Library." In the 10th International Workshop. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3303084.3309496.
Full textBonifaci, Vincenzo, Alberto Marchetti-Spaccamela, Sebastian Stiller, and Andreas Wiese. "Feasibility Analysis in the Sporadic DAG Task Model." In 2013 25th Euromicro Conference on Real-Time Systems (ECRTS). IEEE, 2013. http://dx.doi.org/10.1109/ecrts.2013.32.
Full textMiletto, Marcelo Cogo, and Lucas Schnorr. "OpenMP and StarPU Abreast: the Impact of Runtime in Task-Based Block QR Factorization Performance." In XX Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2019. http://dx.doi.org/10.5753/wscad.2019.8654.
Full textBattre, Dominic, Matthias Hovestadt, Bjorn Lohrmann, Alexander Stanik, and Daniel Warneke. "Detecting bottlenecks in parallel DAG-based data flow programs." In 2010 3rd Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS). IEEE, 2010. http://dx.doi.org/10.1109/mtags.2010.5699429.
Full textAriffin, Wan Nor Munirah, Nor Azrita Mohd Amin, Shazirawati Mohd Puzi, Hafiz Masran, and Mohd Mustafa Albakri Abdullah. "Transformation of DCG onto DAG for task assignment problem." In 1ST JOINT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND ENGINEERING (J-CoMSE 2021): J-COMSE 2021 CONFERENCE PROCEEDING. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0078955.
Full textChen, Nan, Shuai Zhao, Ian Gray, Alan Burns, Siyuan Ji, and Wanli Chang. "Precise Response Time Analysis for Multiple DAG Tasks with Intra-task Priority Assignment." In 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS). IEEE, 2023. http://dx.doi.org/10.1109/rtas58335.2023.00021.
Full textLan, Tian, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, and Chen Zhang. "MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis." In KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3580305.3599436.
Full textReports on the topic "DAG task"
Edwards, Harold C., and Daniel Alejandro Ibanez. Kokkos' Task DAG Capabilities. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1398234.
Full textVera, Jose, and Ken Evans. PR186-203600-Z01 Impact of Drag Reducing Agents on Corrosion Management. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2021. http://dx.doi.org/10.55274/r0012177.
Full textEsch, R. A. Tank characterization 40-day crust burn for double shell Tank 241-AW-101. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/33114.
Full textHarris and Vaze. PR-185-0351-R05 Welding for Small to Medium Diameter Gas Pipelines - Real-Time Quality Monitoring. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2006. http://dx.doi.org/10.55274/r0011071.
Full textRice, A. D. 216-Day report for Tank 241-C-111, cores 58 and 59. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/39609.
Full textBannochie, C. Results of Preliminary Hg Speciation Testing on 4Q14 Tank 50, 1Q15 Tank 50, and SRNL 14-Day TCLP Leachate. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1177484.
Full textRosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart, and Jane Wilbur. Incontinence: We Need to Talk About Leaks. Institute of Development Studies (IDS), October 2020. http://dx.doi.org/10.19088/slh.2020.005.
Full textRosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart, and Jane Wilbur. Incontinence: We Need to Talk About Leaks. Institute of Development Studies (IDS), October 2020. http://dx.doi.org/10.19088/slh.2020.011.
Full textBell, K. E. 45-Day safety screening for Tank 241-B-102 auger samples, riser 1. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/10105388.
Full textMiller, G. L. 45-Day safety screening report for grab samples from Tank 241-AP-107. Office of Scientific and Technical Information (OSTI), March 1995. http://dx.doi.org/10.2172/41316.
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