Literatura científica selecionada sobre o tema "DAG task"
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Artigos de revistas sobre o assunto "DAG task"
Liu, Zhiguo, Luxi Zhang, Lin Wang, Xiaoqi Dong e Junlin Rong. "Research on Multi-DAG Satellite Network Task Scheduling Algorithm Based on Cache-Composite Priority". Electronics 13, n.º 4 (15 de fevereiro de 2024): 763. http://dx.doi.org/10.3390/electronics13040763.
Texto completo da fonteZhao, Yao, Jian Dong, Hongwei Liu, Jin Wu e Yanxin Liu. "Performance Improvement of DAG-Aware Task Scheduling Algorithms with Efficient Cache Management in Spark". Electronics 10, n.º 16 (4 de agosto de 2021): 1874. http://dx.doi.org/10.3390/electronics10161874.
Texto completo da fonteCai, Lingfeng, Xianglin Wei, Changyou Xing, Xia Zou, Guomin Zhang e Xiulei Wang. "Failure-resilient DAG task scheduling in edge computing". Computer Networks 198 (outubro de 2021): 108361. http://dx.doi.org/10.1016/j.comnet.2021.108361.
Texto completo da fonteJiang, Yuyi, Zhiqing Shao, Yi Guo, Huanhuan Zhang e 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.
Texto completo da fonteVucha, Mahendra, e 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.
Texto completo da fonteKaur, Mandeep, e Balwinder Singh Sohi. "Efficient DAG Task Scheduling Algorithm for Wireless Sensor Networks". International Journal of Computer Sciences and Engineering 6, n.º 12 (31 de dezembro de 2018): 735–43. http://dx.doi.org/10.26438/ijcse/v6i12.735743.
Texto completo da fonteZhai, Wenzheng, Yue-Li Hu e Feng Ran. "CQPSO scheduling algorithm for heterogeneous multi-core DAG task model". Modern Physics Letters B 31, n.º 19-21 (27 de julho de 2017): 1740050. http://dx.doi.org/10.1142/s0217984917400504.
Texto completo da fonteVoudouris, Petros, Per Stenström e Risat Pathan. "Federated Scheduling of Sporadic DAGs on Unrelated Multiprocessors". ACM Transactions on Embedded Computing Systems 20, n.º 5s (31 de outubro de 2021): 1–25. http://dx.doi.org/10.1145/3477018.
Texto completo da fonteSingh, Manjeet, e 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, n.º 11 (30 de novembro de 2022): 40–46. http://dx.doi.org/10.17762/ijritcc.v10i11.5778.
Texto completo da fonteTaufer, Michela, e 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, n.º 1 (28 de julho de 2016): 19–31. http://dx.doi.org/10.1177/1094342015594518.
Texto completo da fonteTeses / dissertações sobre o assunto "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.
Texto completo da fonteModern 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.
Encontre o texto completo da fonteMazouzi, Houssemeddine. "Algorithmes pour le déchargement de tâches sur serveurs de périphérie". Thesis, Paris 13, 2019. http://www.theses.fr/2019PA131076.
Texto completo da fonteComputation 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.
Texto completo da fonteThe 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.
Texto completo da fonteThe 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.
Texto completo da fonteMeisner, Tomáš. "Integrace dat a možnosti automatického zpracování úloh". Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-9918.
Texto completo da fonteWaldenvik, 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.
Texto completo da fonteGrepl, 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.
Texto completo da fonteRoss, 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.
Texto completo da fonteMaster of Science
Livros sobre o assunto "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.
Encontre o texto completo da fonteCasofa, Fachmy. Tak boleh lelah dan kalah. Solo: Metagraf, 2014.
Encontre o texto completo da fonteBubílková, Zuzana. Co týden (ne)dal. Praha: Nakl. Lidové noviny, 1993.
Encontre o texto completo da fonteNasional, 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.
Encontre o texto completo da fonteChild care: A workforce issue : report of the Secretary's Task Force. [Washington, D.C.?]: U.S. Department of Labor, 1988.
Encontre o texto completo da fonteW, Awdry. 3-dai no kikansha. Tōkyō: Popurasha, 2005.
Encontre o texto completo da fonteSpirn, Michele. The Know-Nothings talk turkey. New York: HarperCollins, 2000.
Encontre o texto completo da fonteMeishun, Jin, ed. Han yu jian dan shuo: Korean easy talk. Taibei Xian Zhonghe Shi: Tong yi chu ban she you xian gong si, 2005.
Encontre o texto completo da fonteH, Molgard Max, ed. Straight talk about gospel principles. Salt Lake City, Utah: Bookcraft, 1994.
Encontre o texto completo da fontePaulsen, Jan. Let's talk: Conversations with young Adventists about their church. Nampa, Idaho: Pacific Press Pub. Association, 2013.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "DAG task"
Chen, Chen, e 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.
Texto completo da fonteRajak, Nidhi, e 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.
Texto completo da fonteShu, Lang, Guanyan Pan, Bei Wang, Wenbing Peng, Minhui Fang, Yifei Chen, Fanding Huang, Songchen Li e 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.
Texto completo da fonteZhao, Tianqi, Mingyue Zhao, Yue Shi e 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.
Texto completo da fonteTian, Yuan, Füsun Özgüner e 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.
Texto completo da fonteLasko, Wolf W., e 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.
Texto completo da fonteLasko, Wolf W., e 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.
Texto completo da fonteBaruah, Sanjoy, Marko Bertogna e 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.
Texto completo da fonteBeetz, 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.
Texto completo da fonteLasko, 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "DAG task"
Li, Xiang, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Kwang Taik Kim e 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.
Texto completo da fonteBaruah, 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.
Texto completo da fonteShang, Ying, Jinglei Li e 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.
Texto completo da fontePeccerillo, Biagio, e 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.
Texto completo da fonteBonifaci, Vincenzo, Alberto Marchetti-Spaccamela, Sebastian Stiller e 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.
Texto completo da fonteMiletto, Marcelo Cogo, e 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.
Texto completo da fonteBattre, Dominic, Matthias Hovestadt, Bjorn Lohrmann, Alexander Stanik e 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.
Texto completo da fonteAriffin, Wan Nor Munirah, Nor Azrita Mohd Amin, Shazirawati Mohd Puzi, Hafiz Masran e 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.
Texto completo da fonteChen, Nan, Shuai Zhao, Ian Gray, Alan Burns, Siyuan Ji e 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.
Texto completo da fonteLan, Tian, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao e 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.
Texto completo da fonteRelatórios de organizações sobre o assunto "DAG task"
Edwards, Harold C., e Daniel Alejandro Ibanez. Kokkos' Task DAG Capabilities. Office of Scientific and Technical Information (OSTI), setembro de 2017. http://dx.doi.org/10.2172/1398234.
Texto completo da fonteVera, Jose, e Ken Evans. PR186-203600-Z01 Impact of Drag Reducing Agents on Corrosion Management. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), outubro de 2021. http://dx.doi.org/10.55274/r0012177.
Texto completo da fonteEsch, R. A. Tank characterization 40-day crust burn for double shell Tank 241-AW-101. Office of Scientific and Technical Information (OSTI), março de 1995. http://dx.doi.org/10.2172/33114.
Texto completo da fonteHarris e 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), abril de 2006. http://dx.doi.org/10.55274/r0011071.
Texto completo da fonteRice, A. D. 216-Day report for Tank 241-C-111, cores 58 and 59. Office of Scientific and Technical Information (OSTI), dezembro de 1994. http://dx.doi.org/10.2172/39609.
Texto completo da fonteBannochie, 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), abril de 2015. http://dx.doi.org/10.2172/1177484.
Texto completo da fonteRosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart e Jane Wilbur. Incontinence: We Need to Talk About Leaks. Institute of Development Studies (IDS), outubro de 2020. http://dx.doi.org/10.19088/slh.2020.005.
Texto completo da fonteRosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart e Jane Wilbur. Incontinence: We Need to Talk About Leaks. Institute of Development Studies (IDS), outubro de 2020. http://dx.doi.org/10.19088/slh.2020.011.
Texto completo da fonteBell, K. E. 45-Day safety screening for Tank 241-B-102 auger samples, riser 1. Office of Scientific and Technical Information (OSTI), dezembro de 1994. http://dx.doi.org/10.2172/10105388.
Texto completo da fonteMiller, G. L. 45-Day safety screening report for grab samples from Tank 241-AP-107. Office of Scientific and Technical Information (OSTI), março de 1995. http://dx.doi.org/10.2172/41316.
Texto completo da fonte