Artigos de revistas sobre o tema "DAG task"
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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 fonteGao, Zhibin, Gaoyu Luo, Shanhao Zhan, Bang Liu, Lianfen Huang e Han-Chieh Chao. "ST-HO: Symmetry-Enhanced Energy-Efficient DAG Task Offloading Algorithm in Intelligent Transport System". Symmetry 16, n.º 2 (31 de janeiro de 2024): 164. http://dx.doi.org/10.3390/sym16020164.
Texto completo da fonteZhang, Han, Rui Feng Guo e Cong Geng. "A Model and Decomposition Mechanism of Complex Task in MAS". Applied Mechanics and Materials 467 (dezembro de 2013): 609–14. http://dx.doi.org/10.4028/www.scientific.net/amm.467.609.
Texto completo da fonteXiao, Xianghui, e Zhiyong Li. "Chemical Reaction Multi-Objective Optimization for Cloud Task DAG Scheduling". IEEE Access 7 (2019): 102598–605. http://dx.doi.org/10.1109/access.2019.2926500.
Texto completo da fonteChen, Qingfeng, Yu Han, Jing Wu e Yu Gan. "Energy-Saving Task Scheduling Based on Hard Reliability Requirements: A Novel Approach with Low Energy Consumption and High Reliability". Sustainability 14, n.º 11 (27 de maio de 2022): 6591. http://dx.doi.org/10.3390/su14116591.
Texto completo da fonteWu, Hao, Qinggeng Jin, Chenghua Zhang e He Guo. "A Selective Mirrored Task Based Fault Tolerance Mechanism for Big Data Application Using Cloud". Wireless Communications and Mobile Computing 2019 (26 de fevereiro de 2019): 1–12. http://dx.doi.org/10.1155/2019/4807502.
Texto completo da fonteWahyudi, Erwin Eko, Muhammad Auzan, Andi Dharmawan, Danang Eko Nuryanto, Nanang Susyanto, Guruh Samodra e Danang Sri Hadmoko. "Akuisisi Data Prediksi Curah Hujan Secara Periodik Menggunakan Apache Airflow". Journal of Informatics, Information System, Software Engineering and Applications (INISTA) 4, n.º 2 (19 de maio de 2022): 1–12. http://dx.doi.org/10.20895/inista.v4i2.574.
Texto completo da fonteZheng, Huiji, Sicong Yu e Xiaolong Cui. "GMOM: An Offloading Method of Dependent Tasks Based on Deep Reinforcement Learning". Mobile Information Systems 2022 (8 de novembro de 2022): 1–13. http://dx.doi.org/10.1155/2022/9587040.
Texto completo da fonteZhu, Liangbin, Ying Shang, Jinglei Li, Yiming Jia e Qinghai Yang. "Reliability-Constrained Task Scheduling for DAG Applications in Mobile Edge Computing". Wireless Communications and Mobile Computing 2024 (29 de janeiro de 2024): 1–12. http://dx.doi.org/10.1155/2024/6980514.
Texto completo da fonteEL-NATTAT, Amal, Nirmeen El-Bahnasawy e Ayman EL-SAYED. "Enhanced Leveled DAG Prioritized Task Scheduling Algorithm in Distributed Computing System". International Conference on Electrical Engineering 10, n.º 10 (1 de abril de 2016): 1–13. http://dx.doi.org/10.21608/iceeng.2016.30296.
Texto completo da fonteKaur, Gurjit. "A DAG based Task Scheduling Algorithms for Multiprocessor System - A Survey". International Journal of Grid and Distributed Computing 9, n.º 9 (30 de setembro de 2016): 103–14. http://dx.doi.org/10.14257/ijgdc.2016.9.9.10.
Texto completo da fonteJia, Runa, Kuang Zhao, Xianglin Wei, Guoliang Zhang, Yangang Wang e Gangyi Tu. "Joint Trajectory Planning, Service Function Deploying, and DAG Task Scheduling in UAV-Empowered Edge Computing". Drones 7, n.º 7 (5 de julho de 2023): 443. http://dx.doi.org/10.3390/drones7070443.
Texto completo da fonteYang, Dezhi, Guoxian Yu, Jun Wang, Zhengtian Wu e Maozu Guo. "Reinforcement Causal Structure Learning on Order Graph". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junho de 2023): 10737–44. http://dx.doi.org/10.1609/aaai.v37i9.26274.
Texto completo da fonteBramas, Bérenger, e Alain Ketterlin. "Improving parallel executions by increasing task granularity in task-based runtime systems using acyclic DAG clustering". PeerJ Computer Science 6 (13 de janeiro de 2020): e247. http://dx.doi.org/10.7717/peerj-cs.247.
Texto completo da fonteCOSNARD, MICHEL, e EMMANUEL JEANNOT. "AUTOMATIC PARALLELIZATION TECHNIQUES BASED ON COMPACT DAG EXTRACTION AND SYMBOLIC SCHEDULING". Parallel Processing Letters 11, n.º 01 (março de 2001): 151–68. http://dx.doi.org/10.1142/s012962640100049x.
Texto completo da fonteda Silva, Eduardo C., e Paulo H. R. Gabriel. "A Comprehensive Review of Evolutionary Algorithms for Multiprocessor DAG Scheduling". Computation 8, n.º 2 (10 de abril de 2020): 26. http://dx.doi.org/10.3390/computation8020026.
Texto completo da fonteBerenjian, Golnaz, Homayun Motameni, Mehdi Golsorkhtabaramiri e Ali Ebrahimnejad. "Distribution slack allocation algorithm for energy aware task scheduling in cloud datacenters". Journal of Intelligent & Fuzzy Systems 41, n.º 1 (11 de agosto de 2021): 251–72. http://dx.doi.org/10.3233/jifs-201696.
Texto completo da fonteYin, Naiyu, Tian Gao, Yue Yu e Qiang Ji. "Effective Causal Discovery under Identifiable Heteroscedastic Noise Model". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 15 (24 de março de 2024): 16486–94. http://dx.doi.org/10.1609/aaai.v38i15.29586.
Texto completo da fonteMaity, Arka, Anuj Pathania e Tulika Mitra. "PkMin: Peak Power Minimization for Multi-Threaded Many-Core Applications". Journal of Low Power Electronics and Applications 10, n.º 4 (30 de setembro de 2020): 31. http://dx.doi.org/10.3390/jlpea10040031.
Texto completo da fonteDougani, Bentabet, e Abdeslem Dennai. "Bandwidth Allocation Algorithm for Makespan Optimization in a Fog-Cloud Environment: Monitoring Application". Computer Science Journal of Moldova 31, n.º 1(91) (abril de 2023): 45–69. http://dx.doi.org/10.56415/csjm.v31.03.
Texto completo da fonteYue, Shasha, Yan Ma, Lajiao Chen, Yuzhu Wang e Weijing Song. "Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model". Journal of Supercomputing 75, n.º 2 (19 de abril de 2017): 510–32. http://dx.doi.org/10.1007/s11227-017-2047-1.
Texto completo da fonteXie, Haitao, Hongwei Chen e Chunzhi Wang. "A Priority-driven ACO Algorithm for DAG Task Scheduling in Cloud Environment". International Journal of Hybrid Information Technology 8, n.º 6 (30 de junho de 2015): 205–16. http://dx.doi.org/10.14257/ijhit.2015.8.6.20.
Texto completo da fonteAriffin, W. N. M. "The Reduction of Directed Cyclic Graph for Task Assignment Problem". MATEC Web of Conferences 150 (2018): 06031. http://dx.doi.org/10.1051/matecconf/201815006031.
Texto completo da fonteCheng, Yuxia, Zhiwei Wu, Kui Liu, Qing Wu e Yu Wang. "Smart DAG Tasks Scheduling between Trusted and Untrusted Entities Using the MCTS Method". Sustainability 11, n.º 7 (27 de março de 2019): 1826. http://dx.doi.org/10.3390/su11071826.
Texto completo da fonteSenapati, Debabrata, Arnab Sarkar e Chandan Karfa. "HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems". ACM Transactions on Embedded Computing Systems 20, n.º 5s (31 de outubro de 2021): 1–26. http://dx.doi.org/10.1145/3477037.
Texto completo da fonteHellani, Houssein, Layth Sliman, Abed Ellatif Samhat e Ernesto Exposito. "Computing Resource Allocation Scheme for DAG-Based IOTA Nodes". Sensors 21, n.º 14 (9 de julho de 2021): 4703. http://dx.doi.org/10.3390/s21144703.
Texto completo da fonte.K, Nithyanandakumari. "Assessment of Ant Colony Optimization Algorithm for DAG Task Scheduling in Cloud Computing". International Journal of Advanced Trends in Computer Science and Engineering 9, n.º 4 (25 de agosto de 2020): 5278–86. http://dx.doi.org/10.30534/ijatcse/2020/159942020.
Texto completo da fonteLee, Hyunsung, Sangwoo Cho, Yeongjae Jang, Jinkyu Lee e Honguk Woo. "A Global DAG Task Scheduler Using Deep Reinforcement Learning and Graph Convolution Network". IEEE Access 9 (2021): 158548–61. http://dx.doi.org/10.1109/access.2021.3130407.
Texto completo da fonteEL-NATTAT, Amal, Nirmeen A. El-Bahnasawy e Ayman EL-SAYED. "An Enhancement of Leveled DAG Prioritized Task Scheduling Algorithm in Distributed Computing Systems". Menoufia Journal of Electronic Engineering Research 26, n.º 1 (1 de janeiro de 2017): 171–92. http://dx.doi.org/10.21608/mjeer.2017.63443.
Texto completo da fonteChaudhuri, Pranay, e Jeffrey Elcock. "Scheduling DAG-based applications in multicluster environments with background workload using task duplication". International Journal of Computer Mathematics 87, n.º 11 (setembro de 2010): 2387–97. http://dx.doi.org/10.1080/00207160902803314.
Texto completo da fonteLee, Heejo, Jong Kim, Sung Je Hong e Sunggu Lee. "Task scheduling using a block dependency DAG for block-oriented sparse Cholesky factorization". Parallel Computing 29, n.º 1 (janeiro de 2003): 135–59. http://dx.doi.org/10.1016/s0167-8191(02)00220-x.
Texto completo da fonteLi, Chenxi, Xiaofei Liao e Hai Jin. "Enhancing application performance via DAG-driven scheduling in task parallelism for cloud center". Peer-to-Peer Networking and Applications 12, n.º 2 (16 de junho de 2017): 381–91. http://dx.doi.org/10.1007/s12083-017-0576-2.
Texto completo da fonteYu, Siyang, Kenli Li e Yuming Xu. "A DAG task scheduling scheme on heterogeneous cluster systems using discrete IWO algorithm". Journal of Computational Science 26 (maio de 2018): 307–17. http://dx.doi.org/10.1016/j.jocs.2016.09.008.
Texto completo da fonteChen, Jian-Jia. "Federated scheduling admits no constant speedup factors for constrained-deadline DAG task systems". Real-Time Systems 52, n.º 6 (31 de maio de 2016): 833–38. http://dx.doi.org/10.1007/s11241-016-9255-2.
Texto completo da fonteXiong, Feng, Yi Ping Yuan, Yu Ying Wang e Guang Wen Wang. "Task Scheduling in Multi-Process with Resource Constraints under MG Workflow". Advanced Materials Research 33-37 (março de 2008): 1425–30. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1425.
Texto completo da fonteTomar, Divya, e Sonali Agarwal. "Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine". International Journal of Image and Graphics 16, n.º 03 (julho de 2016): 1650012. http://dx.doi.org/10.1142/s0219467816500121.
Texto completo da fonteZuo, Hao, Jinshen Jiang e Yun Zhou. "DAGOR: Learning DAGs via Topological Sorts and QR Factorization". Mathematics 12, n.º 8 (17 de abril de 2024): 1198. http://dx.doi.org/10.3390/math12081198.
Texto completo da fonteGarg, Akanksha, Navdeep S.Sethi, Nidhi Arora e Amit Makkar. "BNP TASK SCHEDULING ALGORITHMS FOR PERFORMANCE EVALUATION IN PARALLEL SYSTEM". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, n.º 8 (20 de fevereiro de 2014): 3768–77. http://dx.doi.org/10.24297/ijct.v12i8.3014.
Texto completo da fonteJin, Jin, e Yue Wang. "T2-DAG: a powerful test for differentially expressed gene pathways via graph-informed structural equation modeling". Bioinformatics 38, n.º 4 (10 de novembro de 2021): 1005–14. http://dx.doi.org/10.1093/bioinformatics/btab770.
Texto completo da fonteRajak, Nidhi. "A CRITICAL-PATH AND TOP-LEVEL ATTRIBUTES BASED TASK SCHEDULING ALGORITHM FOR DAG (CPTL)". International Journal of New Computer Architectures and their Applications 4, n.º 4 (2014): 130–36. http://dx.doi.org/10.17781/p0012.
Texto completo da fonteWANG, Jian, Huaihu CAO, Haifeng LI, Lixin CUI e Yanmei ZHANG. "Fusion-partitioning genetic task scheduling algorithm based on deterministic annealing technology in DAG blockchains". SCIENTIA SINICA Informationis 50, n.º 2 (1 de fevereiro de 2020): 261–74. http://dx.doi.org/10.1360/n112019-00025.
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