Artículos de revistas sobre el tema "Distributed Stream Processing Systems"
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K, Sornalakshmi. "Dynamic Operator Scaling for Distributed Stream Processing Systems for Fluctuating Streams". Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (25 de julio de 2020): 2815–21. http://dx.doi.org/10.5373/jardcs/v12sp7/20202422.
Texto completoWei, Xiaohui, Yuan Zhuang, Hongliang Li y Zhiliang Liu. "Reliable stream data processing for elastic distributed stream processing systems". Cluster Computing 23, n.º 2 (21 de mayo de 2019): 555–74. http://dx.doi.org/10.1007/s10586-019-02939-9.
Texto completoShuiying Yu, Shuiying Yu, Yinting Zheng Shuiying Yu, Fan Zhang Yinting Zheng, Hanhua Chen Fan Zhang y Hai Jin Hanhua Chen. "TriJoin: A Time-Efficient and Scalable Three-Way Distributed Stream Join System". 網際網路技術學刊 24, n.º 2 (marzo de 2023): 475–85. http://dx.doi.org/10.53106/160792642023032402024.
Texto completoShukla, Anshu y Yogesh Simmhan. "Model-driven scheduling for distributed stream processing systems". Journal of Parallel and Distributed Computing 117 (julio de 2018): 98–114. http://dx.doi.org/10.1016/j.jpdc.2018.02.003.
Texto completoBernardelli de Moraes, Matheus y André Leon Sampaio Gradvohl. "Evaluating the impact of a coordinated checkpointing in distributed data streams processing systems using discrete event simulation". Revista Brasileira de Computação Aplicada 12, n.º 2 (19 de mayo de 2020): 16–27. http://dx.doi.org/10.5335/rbca.v12i2.10295.
Texto completoTran, Tri Minh y Byung Suk Lee. "Distributed stream join query processing with semijoins". Distributed and Parallel Databases 27, n.º 3 (6 de marzo de 2010): 211–54. http://dx.doi.org/10.1007/s10619-010-7062-7.
Texto completoHildrum, Kirsten, Fred Douglis, Joel L. Wolf, Philip S. Yu, Lisa Fleischer y Akshay Katta. "Storage optimization for large-scale distributed stream-processing systems". ACM Transactions on Storage 3, n.º 4 (febrero de 2008): 1–28. http://dx.doi.org/10.1145/1326542.1326547.
Texto completoEskandari, Leila, Jason Mair, Zhiyi Huang y David Eyers. "I-Scheduler: Iterative scheduling for distributed stream processing systems". Future Generation Computer Systems 117 (abril de 2021): 219–33. http://dx.doi.org/10.1016/j.future.2020.11.011.
Texto completoLiu, Xunyun y Rajkumar Buyya. "Resource Management and Scheduling in Distributed Stream Processing Systems". ACM Computing Surveys 53, n.º 3 (5 de julio de 2020): 1–41. http://dx.doi.org/10.1145/3355399.
Texto completoShukla, Anshu, Shilpa Chaturvedi y Yogesh Simmhan. "RIoTBench: An IoT benchmark for distributed stream processing systems". Concurrency and Computation: Practice and Experience 29, n.º 21 (4 de octubre de 2017): e4257. http://dx.doi.org/10.1002/cpe.4257.
Texto completoValeev, S. S., N. V. Kondratyeva, A. S. Kovtunenko, M. A. Timirov y R. R. Karimov. "Distributed stream data processing system in multi-agent safety system of infrastructure objects". Information Technology and Nanotechnology, n.º 2416 (2019): 324–31. http://dx.doi.org/10.18287/1613-0073-2019-2416-324-331.
Texto completoEITER, THOMAS, PAUL OGRIS y KONSTANTIN SCHEKOTIHIN. "A Distributed Approach to LARS Stream Reasoning (System paper)". Theory and Practice of Logic Programming 19, n.º 5-6 (septiembre de 2019): 974–89. http://dx.doi.org/10.1017/s1471068419000309.
Texto completoXiao, Fuyuan, Cheng Zhan, Hong Lai, Li Tao y Zhiguo Qu. "New parallel processing strategies in complex event processing systems with data streams". International Journal of Distributed Sensor Networks 13, n.º 8 (agosto de 2017): 155014771772862. http://dx.doi.org/10.1177/1550147717728626.
Texto completoBalazinska, Magdalena, Hari Balakrishnan, Samuel R. Madden y Michael Stonebraker. "Fault-tolerance in the borealis distributed stream processing system". ACM Transactions on Database Systems 33, n.º 1 (marzo de 2008): 1–44. http://dx.doi.org/10.1145/1331904.1331907.
Texto completoCardellini, Valeria, Vincenzo Grassi, Francesco Lo Presti y Matteo Nardelli. "Optimal Operator Replication and Placement for Distributed Stream Processing Systems". ACM SIGMETRICS Performance Evaluation Review 44, n.º 4 (10 de mayo de 2017): 11–22. http://dx.doi.org/10.1145/3092819.3092823.
Texto completoRepantis, T., Xiaohui Gu y V. Kalogeraki. "QoS-Aware Shared Component Composition for Distributed Stream Processing Systems". IEEE Transactions on Parallel and Distributed Systems 20, n.º 7 (julio de 2009): 968–82. http://dx.doi.org/10.1109/tpds.2008.165.
Texto completoRank, Johannes, Jonas Herget, Andreas Hein y Helmut Krcmar. "Evaluating Task-Level CPU Efficiency for Distributed Stream Processing Systems". Big Data and Cognitive Computing 7, n.º 1 (10 de marzo de 2023): 49. http://dx.doi.org/10.3390/bdcc7010049.
Texto completoAkanbi, Adeyinka y Muthoni Masinde. "A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring". Sensors 20, n.º 11 (3 de junio de 2020): 3166. http://dx.doi.org/10.3390/s20113166.
Texto completoXIAO, Fuyuan, Teruaki KITASUKA y Masayoshi ARITSUGI. "Economical and Fault-Tolerant Load Balancing in Distributed Stream Processing Systems". IEICE Transactions on Information and Systems E95-D, n.º 4 (2012): 1062–73. http://dx.doi.org/10.1587/transinf.e95.d.1062.
Texto completoLi, Yue-jie. "Data Stream of Wireless Sensor Networks Based on Deep Learning". International Journal of Online Engineering (iJOE) 12, n.º 11 (24 de noviembre de 2016): 22. http://dx.doi.org/10.3991/ijoe.v12i11.6232.
Texto completoHenning, Sören y Wilhelm Hasselbring. "Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures". Big Data Research 25 (julio de 2021): 100209. http://dx.doi.org/10.1016/j.bdr.2021.100209.
Texto completoIvanov, Yurii, Borys Sharov, Nazar Zalevskyi y Ostap Kernytskyi. "Software System for End-Products Accounting in Bakery Production Lines Based on Distributed Video Streams Analysis". Advances in Cyber-Physical Systems 7, n.º 2 (16 de diciembre de 2022): 101–7. http://dx.doi.org/10.23939/acps2022.02.101.
Texto completoBordin, Maycon Viana, Dalvan Griebler, Gabriele Mencagli, Claudio F. R. Geyer y Luiz Gustavo L. Fernandes. "DSPBench: A Suite of Benchmark Applications for Distributed Data Stream Processing Systems". IEEE Access 8 (2020): 222900–222917. http://dx.doi.org/10.1109/access.2020.3043948.
Texto completoLlaves, Alejandro, Oscar Corcho, Peter Taylor y Kerry Taylor. "Enabling RDF Stream Processing for Sensor Data Management in the Environmental Domain". International Journal on Semantic Web and Information Systems 12, n.º 4 (octubre de 2016): 1–21. http://dx.doi.org/10.4018/ijswis.2016100101.
Texto completoYang, Dingyu, Jianmei Guo, Zhi-Jie Wang, Yuan Wang, Jingsong Zhang, Liang Hu, Jian Yin y Jian Cao. "FastPM: An approach to pattern matching via distributed stream processing". Information Sciences 453 (julio de 2018): 263–80. http://dx.doi.org/10.1016/j.ins.2018.04.031.
Texto completoPishgoo, Boshra, Ahmad Akbari Azirani y Bijan Raahemi. "A hybrid distributed batch-stream processing approach for anomaly detection". Information Sciences 543 (enero de 2021): 309–27. http://dx.doi.org/10.1016/j.ins.2020.07.026.
Texto completoKim, Yoon-Ki y Yongsung Kim. "DiPLIP: Distributed Parallel Processing Platform for Stream Image Processing Based on Deep Learning Model Inference". Electronics 9, n.º 10 (13 de octubre de 2020): 1664. http://dx.doi.org/10.3390/electronics9101664.
Texto completoXiao, Fuyuan y Masayoshi Aritsugi. "An Adaptive Parallel Processing Strategy for Complex Event Processing Systems over Data Streams in Wireless Sensor Networks". Sensors 18, n.º 11 (2 de noviembre de 2018): 3732. http://dx.doi.org/10.3390/s18113732.
Texto completoAlshamrani, Sultan, Hesham Alhumyani, Quadri Waseem y Isbudeen Noor Mohamed. "High availability of data using Automatic Selection Algorithm (ASA) in distributed stream processing systems". Bulletin of Electrical Engineering and Informatics 8, n.º 2 (1 de junio de 2019): 690–98. http://dx.doi.org/10.11591/eei.v8i2.1414.
Texto completoJayasekara, Sachini, Aaron Harwood y Shanika Karunasekera. "A utilization model for optimization of checkpoint intervals in distributed stream processing systems". Future Generation Computer Systems 110 (septiembre de 2020): 68–79. http://dx.doi.org/10.1016/j.future.2020.04.019.
Texto completoYe, Qian y Minyan Lu. "s2p: Provenance Research for Stream Processing System". Applied Sciences 11, n.º 12 (15 de junio de 2021): 5523. http://dx.doi.org/10.3390/app11125523.
Texto completoNi, Xiang, Jing Li, Mo Yu, Wang Zhou y Kun-Lung Wu. "Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 01 (3 de abril de 2020): 857–64. http://dx.doi.org/10.1609/aaai.v34i01.5431.
Texto completoPoźniak, Krzysztof. "Modeling of Synchronous Data Streams Processing in the RPC Muon Trigger System of the CMS Experiment". International Journal of Electronics and Telecommunications 56, n.º 4 (1 de noviembre de 2010): 489–502. http://dx.doi.org/10.2478/v10177-010-0067-3.
Texto completoImran, Muhammad, Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz y Volker Markl. "Fast datalog evaluation for batch and stream graph processing". World Wide Web 25, n.º 2 (20 de enero de 2022): 971–1003. http://dx.doi.org/10.1007/s11280-021-00960-w.
Texto completoYe, Qian y Minyan Lu. "SPOT: Testing Stream Processing Programs with Symbolic Execution and Stream Synthesizing". Applied Sciences 11, n.º 17 (30 de agosto de 2021): 8057. http://dx.doi.org/10.3390/app11178057.
Texto completoRusso Russo, Gabriele, Matteo Nardelli, Valeria Cardellini y Francesco Lo Presti. "Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach". Algorithms 11, n.º 9 (7 de septiembre de 2018): 134. http://dx.doi.org/10.3390/a11090134.
Texto completoPark, Jun Pyo, Chang-Sup Park y Yon Dohn Chung. "Energy and Latency Efficient Access of Wireless XML Stream". Journal of Database Management 21, n.º 1 (enero de 2010): 58–79. http://dx.doi.org/10.4018/jdm.2010112303.
Texto completoRajaguru D., Puviyarasi T. y Vengattaraman T. "Malicious Data Stream Identification to Improve the Resource Elasticity of Handheld Edge Computing System". International Journal of Handheld Computing Research 8, n.º 4 (octubre de 2017): 30–39. http://dx.doi.org/10.4018/ijhcr.2017100103.
Texto completoCheng, Zhinan, Qun Huang y Patrick P. C. Lee. "On the performance and convergence of distributed stream processing via approximate fault tolerance". VLDB Journal 28, n.º 5 (3 de septiembre de 2019): 821–46. http://dx.doi.org/10.1007/s00778-019-00565-w.
Texto completoAgeev, Aleksey Vladimirovich, Andrey Alexandrovich Boguslavskiy y Sergey Mikhailovich Sokolov. "Task scheduling in the onboard computer system". Keldysh Institute Preprints, n.º 43 (2023): 1–27. http://dx.doi.org/10.20948/prepr-2023-43.
Texto completoQu, Zhijian, Hanxin Liu, Hanlin Wang, Xinqiang Chen, Rui Chi y Zixiao Wang. "Cluster equilibrium scheduling method based on backpressure flow control in railway power supply systems". PLOS ONE 15, n.º 12 (9 de diciembre de 2020): e0243543. http://dx.doi.org/10.1371/journal.pone.0243543.
Texto completoWang, Yongheng, Xiaozan Zhang y Zengwang Wang. "A Proactive Decision Support System for Online Event Streams". International Journal of Information Technology & Decision Making 17, n.º 06 (noviembre de 2018): 1891–913. http://dx.doi.org/10.1142/s0219622018500463.
Texto completoАфанасьев, В. В., О. А. Бебенина y И. И. Ветров. "APPROACHES TO METHOD OF BINARY CLASSIFICATION SELECTING FOR TEXT MESSAGES IN STREAMING DISTRIBUTED SYSTEMS OF INFORMATION PROCESSING". СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, n.º 4(82) (1 de diciembre de 2020): 43–46. http://dx.doi.org/10.36622/vstu.2020.48.26.010.
Texto completoBoyarshin, Igor, Anna Doroshenko y Pavlo Rehida. "REQUEST BALANCING METHOD FOR INCREASING THEIR PROCESSING EFFICIENCY WITH INFORMATION REPLICATION IN A DISTRIBUTED DATA STORAGE SYSTEM". TECHNICAL SCIENCES AND TECHNOLOGIES, n.º 2(24) (2021): 75–82. http://dx.doi.org/10.25140/2411-5363-2021-2(24)-75-82.
Texto completoChavarria, J. Andres, Todd Bown, Paul Clarkson, Simon Watson y Chris Minto. "Digitalization of asset surveillance through distributed fiber-optic sensing: Geophysics and engineering diagnostics and streaming". Leading Edge 41, n.º 9 (septiembre de 2022): 636–40. http://dx.doi.org/10.1190/tle41090636.1.
Texto completoTheodorakis, Georgios, Fotios Kounelis, Peter Pietzuch y Holger Pirk. "Scabbard". Proceedings of the VLDB Endowment 15, n.º 2 (octubre de 2021): 361–74. http://dx.doi.org/10.14778/3489496.3489515.
Texto completoDe Pauw, Wim y Henrique Andrade. "Visualizing Large-Scale Streaming Applications". Information Visualization 8, n.º 2 (22 de enero de 2009): 87–106. http://dx.doi.org/10.1057/ivs.2009.5.
Texto completoKalyaev, A. I. "APPLICATION OF DISTRIBUTED COMPUTING SYSTEMS FOR IMAGE PROCESSING IN ORDER TO SEARCH FOR UNMANNED AERIAL VEHICLES". Vestnik komp'iuternykh i informatsionnykh tekhnologii, n.º 208 (octubre de 2021): 46–53. http://dx.doi.org/10.14489/vkit.2021.10.pp.046-053.
Texto completoAlaasam, Ameer Basim Abdulameer, Gleb Igorevich Radchenko, Andrei Nikolaevitch Tchernykh y José Luis González-Compeán González-Compeán. "Stateful Stream Processing Containerized as Microservice to Support Digital Twins in Fog Computing". Proceedings of the Institute for System Programming of the RAS 33, n.º 1 (2021): 65–80. http://dx.doi.org/10.15514/ispras-2021-33(1)-5.
Texto completoRIESCO, A. y J. RODRÍGUEZ-HORTALÁ. "Property-Based Testing for Spark Streaming". Theory and Practice of Logic Programming 19, n.º 04 (19 de febrero de 2019): 574–602. http://dx.doi.org/10.1017/s1471068419000012.
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