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Journal articles on the topic 'Electronic data processing – Distributed processing – Reliability'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Ren, Zhimin. "Data Processing Platform of Cloud Computing and Its Performance Analysis Based on Photoelectric Hybrid Interconnection Architecture." Journal of Nanoelectronics and Optoelectronics 15, no. 6 (June 1, 2020): 743–52. http://dx.doi.org/10.1166/jno.2020.2805.

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Data processing platform is the core support platform of cloud computing. The use of electric interconnection architecture will increase the complexity of network topology, while optical interconnection architecture is ideal, so cloud computing platform based on optical interconnection has become a research hotspot. The distributed optical interconnection architecture of cloud computing data processing platform is focused on. Combining the hybrid mechanism of optical circuit switching and electric packet switching, it can meet a variety of traffic requirements. Meanwhile, it improves the switc

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Akhatov, A. R., and F. M. Nazarov. "METHODS OF IMPLEMENTATION OF BLOCKCHAIN TECHNOLOGIES ON THE BASIS OF CRYPTOGRAPHIC PROTECTION FOR THE DATA PROCESSING SYSTEM WITH CONSTRAINT AND LAGGING INTO ELECTRONIC DOCUMENT MANAGEMEN." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 184 (October 2019): 3–12. http://dx.doi.org/10.14489/vkit.2019.10.pp.003-012.

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The problem of application design by restriction and delay in ED (Electronic Document) management based on blockchain technologies to ensure a new level of security, reliability, transparency of data processing is considered. Increasing the reliability of information in systems by limiting and delaying ED management of enterprises and organizations during collecting, transmitting, storing and processing ED based on new, little-studied optimization technologies for processing blockchain-type data is a relevant and promising research topic. Important advantages of the potential use of transactio

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3

Brito, Carlos, Leonardo Silva, Gustavo Callou, Tuan Anh Nguyen, Dugki Min, Jae-Woo Lee, and Francisco Airton Silva. "Offloading Data through Unmanned Aerial Vehicles: A Dependability Evaluation." Electronics 10, no. 16 (August 10, 2021): 1916. http://dx.doi.org/10.3390/electronics10161916.

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Applications in the Internet of Things (IoT) context continuously generate large amounts of data. The data must be processed and monitored to allow rapid decision making. However, the wireless connection that links such devices to remote servers can lead to data loss. Thus, new forms of a connection must be explored to ensure the system’s availability and reliability as a whole. Unmanned aerial vehicles (UAVs) are becoming increasingly empowered in terms of processing power and autonomy. UAVs can be used as a bridge between IoT devices and remote servers, such as edge or cloud computing. UAVs

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Granados Hernández, Elkin Dario, Nelson Leonardo Diaz Aldana, and Adriana Carolina Luna Hernández. "Energy Management Electronic Device for Islanded Microgrids Based on Renewable Energy Sources and Battery-based Energy Storage." Ingeniería e Investigación 41, no. 1 (January 29, 2021): e83905. http://dx.doi.org/10.15446/ing.investig.v41n1.83905.

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Energy management systems are one of the most important components in the operation of an electric microgrid. They are responsible for ensuring the supervision of the electrical system, as well as the coordination and reliability of all loads and distributed energy resources in order for the microgrid to be operated as a unified entity. Because of that, an energy management system should be fast enough at processing data and defining control action to guarantee the correct performance of the microgrid. This paper explores the design and implementation of an energy management system deployed ov

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Jeong, Yoon-Su. "Blockchain Processing Technique Based on Multiple Hash Chains for Minimizing Integrity Errors of IoT Data in Cloud Environments." Sensors 21, no. 14 (July 8, 2021): 4679. http://dx.doi.org/10.3390/s21144679.

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As IoT (Internet of Things) devices are diversified in the fields of use (manufacturing, health, medical, energy, home, automobile, transportation, etc.), it is becoming important to analyze and process data sent and received from IoT devices connected to the Internet. Data collected from IoT devices is highly dependent on secure storage in databases located in cloud environments. However, storing directly in a database located in a cloud environment makes it not only difficult to directly control IoT data, but also does not guarantee the integrity of IoT data due to a number of hazards (error

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Rantala, Ville, Pasi Liljeberg, and Juha Plosila. "Status Data and Communication Aspects in Dynamically Clustered Network-on-Chip Monitoring." Journal of Electrical and Computer Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/728191.

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Monitoring and diagnostic systems are required in modern Network-on-Chip implementations to assure high performance and reliability. A dynamically clustered NoC monitoring structure for traffic and fault monitoring is presented. It is a distributed monitoring approach which does not require any centralized control. Essential issues concerning status data diffusion, processing, and format are simulated and analyzed. The monitor communication and placement are also discussed. The results show that the presented monitoring structure can be used to improve the performance of an NoC. Even a small a

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Prashanth, B. U. V., Mohammed Riyaz Ahmed, and Manjunath R. Kounte. "Design and implementation of DA FIR filter for bio-inspired computing architecture." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (April 1, 2021): 1709. http://dx.doi.org/10.11591/ijece.v11i2.pp1709-1718.

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This paper elucidates the system construct of DA-FIR filter optimized for design of distributed arithmetic (DA) finite impulse response (FIR) filter and is based on architecture with tightly coupled co-processor based data processing units. With a series of look-up-table (LUT) accesses in order to emulate multiply and accumulate operations the constructed DA based FIR filter is implemented on FPGA. The very high speed integrated circuit hardware description language (VHDL) is used implement the proposed filter and the design is verified using simulation. This paper discusses two optimization a

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Kim, Seong Cheol, Papia Ray, and S. Surender Reddy. "Features of Smart Grid Technologies: An Overview." ECTI Transactions on Electrical Engineering, Electronics, and Communications 17, no. 2 (August 31, 2019): 169–80. http://dx.doi.org/10.37936/ecti-eec.2019172.215478.

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This paper presents an overview of smart grid (SG) technology features such as two-way communication, advanced metering infrastructure (AMI) system, integration of renewable energy, advanced storage techniques, real time operation and control, data management and processing, physical and cyber security, and self-healing, etc. The SG technology allows twoway communications for better reliability, control, efficiency and economics of the power system. With these new SG technologies, consumers have many energy choices, such as use of renewable energy, usage management, flexible rates, electric ve

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Ledwaba, Lehlogonolo P. I., Gerhard P. Hancke, Sherrin J. Isaac, and Hein S. Venter. "Smart Microgrid Energy Market: Evaluating Distributed Ledger Technologies for Remote and Constrained Microgrid Deployments." Electronics 10, no. 6 (March 18, 2021): 714. http://dx.doi.org/10.3390/electronics10060714.

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The increasing strain on ageing generation infrastructure has seen more frequent instances of scheduled and unscheduled blackouts, rising reliability on fossil fuel based energy alternatives and a slow down in efforts towards achieving universal access to electrical energy in South Africa. To try and relieve the burden on the National Grid and still progress electrification activities, the smart microgrid model and secure energy trade paradigm is considered—enabled by the Industrial IoT (IIoT) and distributed ledger technologies (DLTs). Given the high availability requirements of microgrid ope

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Daves, Glenn G. "Trends in Automotive Packaging." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2014, DPC (January 1, 2014): 001818–50. http://dx.doi.org/10.4071/2014dpc-keynote_th1_daves.

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The long-term trend in automobiles has been increasing electronics content over time. This trend is expected to continue and drives diverse functional, form factor, and reliability requirements. These requirements, in turn, are leading to changes in the package types selected and the performance specifications of the packages used for automotive electronics. Several examples will be given. This abstract covers the development of a distributed high temperature electronics demonstrator for integration with sensor elements to provide digital outputs that can be used by the FADEC (Full Authority D

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Nishio, M., T. Mizutani, and N. Takeda. "Structural shape reconstruction with consideration of the reliability of distributed strain data from a Brillouin-scattering-based optical fiber sensor." Smart Materials and Structures 19, no. 3 (February 3, 2010): 035011. http://dx.doi.org/10.1088/0964-1726/19/3/035011.

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Isaev, E. A., D. V. Pervukhin, V. V. Kornilov, P. A. Tarasov, A. A. Grigoriev, Y. V. Rudyak, G. O. Rytikov, and V. G. Nazarov. "Platelet Adhesion Quantification to Fluorinated Polyethylene from the Structural Caracteristics of Its Surface." Mathematical Biology and Bioinformatics 14, no. 2 (August 9, 2019): 420–29. http://dx.doi.org/10.17537/2019.14.420.

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It is necessary not only to develop information and communication infrastructures and algorithms for distributed and cloud processing of data coming from all kinds of sensors and sensors, but also to design new materials that enable the production of safe, effective and accessible to the general public test systems when creating digital health saving systems as part of the development of modern electronic medical monitoring technologies. An analysis of the market for consumables intended for use in rapid diagnostic devices shows that disposable test strips on a flexible polymer base with high

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Szalay, Márk, Péter Mátray, and László Toka. "State Management for Cloud-Native Applications." Electronics 10, no. 4 (February 9, 2021): 423. http://dx.doi.org/10.3390/electronics10040423.

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The stateless cloud-native design improves the elasticity and reliability of applications running in the cloud. The design decouples the life-cycle of application states from that of application instances; states are written to and read from cloud databases, and deployed close to the application code to ensure low latency bounds on state access. However, the scalability of applications brings the well-known limitations of distributed databases, in which the states are stored. In this paper, we propose a full-fledged state layer that supports the stateless cloud application design. In order to

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Yudhanto, Albertus Djaka, and Purwanto Purwanto. "ANALISA PENGARUH PENERAPAN BUDAYA 5S TERHADAP PRODUKTIVITAS KARYAWAN DI PT SAMSUNG ELECTRONICS INDONESIA, BEKASI." Jurnal Muara Ilmu Ekonomi dan Bisnis 4, no. 2 (June 11, 2020): 205. http://dx.doi.org/10.24912/jmieb.v4i2.7609.

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Strategi memenangkan persaingan telah memicu penerapan konsep baru di perusahaan manufaktur khususnya industri elektronik. Tujuan penelitian ini adalah menginvestigasi dampak penerapan budaya 5S sebagai upaya meningkatkan produktivitas karyawan PT Samsung Electronics Indonesia dengan menggunakan pendekatan kuantitatif. Sumber primer yang dikumpulkan melalui bantuan instrumen kuesioner dibagikan ke responden yang telah terlibat langsung. Jumlah sampel sebanyak 155 karyawan di bagian Manufacturing Engineering Departement. Pengolahan dan analisis diawali uji validitas dan reliabilitas. Deskripsi

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Kim, Jae-Hoon, Seungchul Lee, and Sengphil Hong. "Autonomous Operation Control of IoT Blockchain Networks." Electronics 10, no. 2 (January 17, 2021): 204. http://dx.doi.org/10.3390/electronics10020204.

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Internet of Things (IoT) networks are typically composed of many sensors and actuators. The operation controls for robots in smart factories or drones produce a massive volume of data that requires high reliability. A blockchain architecture can be used to build highly reliable IoT networks. The shared ledger and open data validation among users guarantee extremely high data security. However, current blockchain technology has limitations for its overall application across IoT networks. Because general permission-less blockchain networks typically target high-performance network nodes with suf

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Chen, Yingwen, Bowen Hu, Hujie Yu, Zhimin Duan, and Junxin Huang. "A Threshold Proxy Re-Encryption Scheme for Secure IoT Data Sharing Based on Blockchain." Electronics 10, no. 19 (September 27, 2021): 2359. http://dx.doi.org/10.3390/electronics10192359.

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The IoT devices deployed in various application scenarios will generate massive data with immeasurable value every day. These data often contain the user’s personal privacy information, so there is an imperative need to guarantee the reliability and security of IoT data sharing. We proposed a new encrypted data storing and sharing architecture by combining proxy re-encryption with blockchain technology. The consensus mechanism based on threshold proxy re-encryption eliminates dependence on the third-party central service providers. Multiple consensus nodes in the blockchain network act as prox

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Carrino, Stefano, Francesco Nicassio, and Gennaro Scarselli. "Nonlinearities Associated with Impaired Sensors in a Typical SHM Experimental Set-Up." Electronics 7, no. 11 (November 6, 2018): 303. http://dx.doi.org/10.3390/electronics7110303.

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Structural Health Monitoring (SHM) gives a diagnosis of a structure assessing the structural integrity and predicting the residual life through appropriate data processing and interpretation. A structure must remain in the design domain, although it can be subjected to normal aging due to usage, action of the environment, and accidental events. SHM involves the integration of electronic devices in the inspected structure that sometimes are Piezoelectric Transducers (PZT). These are lightweight and small and can be produced in different geometries. They are used both in guided wave-based and el

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Nazemi, Sepideh, Kin K. Leung, and Ananthram Swami. "Distributed Optimization Framework for In-Network Data Processing." IEEE/ACM Transactions on Networking 27, no. 6 (December 2019): 2432–43. http://dx.doi.org/10.1109/tnet.2019.2953581.

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19

Sherstnyov, Vladislav S., Anna I. Sherstnyova, Igor A. Botygin, and Denis A. Kustov. "Distributed Information System for Processing and Storage of Meteorological Data." Key Engineering Materials 685 (February 2016): 867–71. http://dx.doi.org/10.4028/www.scientific.net/kem.685.867.

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The following article features the results of developing distributed network storage of ground meteorological observation data. The data is represented with the national variant of international rapid transmission code of environment data from meteorological stations across the Russian Federation. They are available for researchers in both visual and common export formats. The design of the distributed network storage of meteorological data includes the following modules: dispatcher module (monitors calculation nodes, distributes data to nodes, processes client requests), client module (allows

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20

Atakishchev, O. I., M. V. Belov, I. S. Zakharov, and A. V. Nikolaev. "Specific Features of Parallel Asynchronous Data Processing in Distributed GIS." Telecommunications and Radio Engineering 64, no. 3 (2005): 167–75. http://dx.doi.org/10.1615/telecomradeng.v64.i3.10.

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21

Nokleby, Matthew, Haroon Raja, and Waheed U. Bajwa. "Scaling-Up Distributed Processing of Data Streams for Machine Learning." Proceedings of the IEEE 108, no. 11 (November 2020): 1984–2012. http://dx.doi.org/10.1109/jproc.2020.3021381.

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22

Benediktsson, Jon Atli, and Zebin Wu. "Distributed Computing for Remotely Sensed Data Processing [Scanning the Section]." Proceedings of the IEEE 109, no. 8 (August 2021): 1278–81. http://dx.doi.org/10.1109/jproc.2021.3094335.

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23

Li, F. "Distributed Processing of Reliability Index Assessment and Reliability-Based Network Reconfiguration in Power Distribution Systems." IEEE Transactions on Power Systems 20, no. 1 (February 2005): 230–38. http://dx.doi.org/10.1109/tpwrs.2004.841231.

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Esposito, Christian, and Massimo Ficco. "Recent Developments on Security and Reliability in Large-Scale Data Processing with MapReduce." International Journal of Data Warehousing and Mining 12, no. 1 (January 2016): 49–68. http://dx.doi.org/10.4018/ijdwm.2016010104.

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The demand to access to a large volume of data, distributed across hundreds or thousands of machines, has opened new opportunities in commerce, science, and computing applications. MapReduce is a paradigm that offers a programming model and an associated implementation for processing massive datasets in a parallel fashion, by using non-dedicated distributed computing hardware. It has been successfully adopted in several academic and industrial projects for Big Data Analytics. However, since such analytics is increasingly demanded within the context of mission-critical applications, security an

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Urmonov, Odilbek, and HyungWon Kim. "Highly Reliable MAC Protocol Based on Associative Acknowledgement for Vehicular Network." Electronics 10, no. 4 (February 4, 2021): 382. http://dx.doi.org/10.3390/electronics10040382.

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IEEE 1609/802.11p standard obligates each vehicle to broadcast a periodic basic safety message (BSM). The BSM message comprises a positional and kinematic information of a transmitting vehicle. It also contains emergency information that is to be delivered to all the target receivers. In broadcast communication, however, existing carrier sense multiple access (CSMA) medium access control (MAC) protocol cannot guarantee a high reliability as it suffers from two chronic problems, namely, access collision and hidden terminal interference. To resolve these problems of CSMA MAC, we propose a novel

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Evers, Christine, Emanuel A. P. Habets, Sharon Gannot, and Patrick A. Naylor. "DoA Reliability for Distributed Acoustic Tracking." IEEE Signal Processing Letters 25, no. 9 (September 2018): 1320–24. http://dx.doi.org/10.1109/lsp.2018.2849579.

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Sestok, C. K., M. R. Said, and A. V. Oppenheim. "Randomized data selection in detection with applications to distributed signal processing." Proceedings of the IEEE 91, no. 8 (August 2003): 1184–98. http://dx.doi.org/10.1109/jproc.2003.814922.

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28

Bu, Lingrui, Hui Zhang, Haiyan Xing, and Lijun Wu. "Research on parallel data processing of data mining platform in the background of cloud computing." Journal of Intelligent Systems 30, no. 1 (January 1, 2021): 479–86. http://dx.doi.org/10.1515/jisys-2020-0113.

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Abstract The efficient processing of large-scale data has very important practical value. In this study, a data mining platform based on Hadoop distributed file system was designed, and then K-means algorithm was improved with the idea of max-min distance. On Hadoop distributed file system platform, the parallelization was realized by MapReduce. Finally, the data processing effect of the algorithm was analyzed with Iris data set. The results showed that the parallel algorithm divided more correct samples than the traditional algorithm; in the single-machine environment, the parallel algorithm

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Rojas Hernandez, Andres Felipe, and Nancy Yaneth Gelvez Garcia. "Distributed processing using cosine similarity for mapping Big Data in Hadoop." IEEE Latin America Transactions 14, no. 6 (June 2016): 2857–61. http://dx.doi.org/10.1109/tla.2016.7555265.

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Yamamoto, Moriki, and Hisao Koizumi. "An Experimental Evaluation of Distributed Data Stream Processing using Lightweight RDBMS SQLite." IEEJ Transactions on Electronics, Information and Systems 133, no. 11 (2013): 2125–32. http://dx.doi.org/10.1541/ieejeiss.133.2125.

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Kimura, Mitsutaka, Mitsuhiro Imaizumi, and Toshio Nakagawa. "Replication Policy of Real-Time Distributed System for Cloud Computing." International Journal of Reliability, Quality and Safety Engineering 22, no. 05 (October 2015): 1550024. http://dx.doi.org/10.1142/s0218539315500242.

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Recently, cloud computing has been widely used for the purpose of protecting client data on the Internet [A. Weiss, Computing in the clouds, netWorker11 (2007) 16–25; M. Armbrust et al., Above the clouds: A Berkeley view of cloud computing, Technical Report UCV/EECS-2009-28, University of California at Berkeley (2009)]. But when a client receives network service, response time may be slow because the data center is located in a remote place. In order to solve the problem, real-time distributed systems for cloud computing has been proposed [M. Okuno, D. Ito, H. Miyamoto, H. Aoki, Y. Tsushima an

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Canter, L. H., and Y. S. Sherif. "Parallel processing, distributed systems and local area networks." Microelectronics Reliability 28, no. 6 (January 1988): 919–27. http://dx.doi.org/10.1016/0026-2714(88)90293-4.

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Shen, Godwin, and Antonio Ortega. "Transform-Based Distributed Data Gathering." IEEE Transactions on Signal Processing 58, no. 7 (July 2010): 3802–15. http://dx.doi.org/10.1109/tsp.2010.2047640.

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Barrera, E., M. Ruiz, S. Lopez, D. Machon, and J. Vega. "PXI-based architecture for real-time data acquisition and distributed dynamic data processing." IEEE Transactions on Nuclear Science 53, no. 3 (June 2006): 923–26. http://dx.doi.org/10.1109/tns.2006.874372.

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Kannadasan, R., K. P. Rajasekaran, S. Jaganath, and N. Prabakaran. "Performance Analysis of Data Processing Using High Performance Distributed Computer Clusters." Journal of Computational and Theoretical Nanoscience 16, no. 5 (May 1, 2019): 2372–76. http://dx.doi.org/10.1166/jctn.2019.7902.

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Tang, D., X. Zhou, Y. Jing, W. Cong, and C. Li. "DESIGN AND VERIFICATION OF REMOTE SENSING IMAGE DATA CENTER STORAGE ARCHITECTURE BASED ON HADOOP." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 1639–42. http://dx.doi.org/10.5194/isprs-archives-xlii-3-1639-2018.

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The data center is a new concept of data processing and application proposed in recent years. It is a new method of processing technologies based on data, parallel computing, and compatibility with different hardware clusters. While optimizing the data storage management structure, it fully utilizes cluster resource computing nodes and improves the efficiency of data parallel application. This paper used mature Hadoop technology to build a large-scale distributed image management architecture for remote sensing imagery. Using MapReduce parallel processing technology, it called many computing n

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Li, Yang. "Hadoop-Based Model of Mass Data Storage." Applied Mechanics and Materials 513-517 (February 2014): 632–34. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.632.

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Aiming at more and more data produced by network, it is extremely important to manage and store these data by using mass data storage platform. This paper presents a method of managing rationally and storing mass data based on distributed computing technique. It is based on Hadoop distributed platforms, mainly using the HDFS distributed file system, MapReduce parallel computing models and Hbase distributed database technology as massive data processing methods, to achieve the efficient storage. The model can overcome the existing deficiencies of the current means of storage and solve the probl

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Wu, Zebin, Jin Sun, Yi Zhang, Zhihui Wei, and Jocelyn Chanussot. "Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing." Proceedings of the IEEE 109, no. 8 (August 2021): 1282–305. http://dx.doi.org/10.1109/jproc.2021.3087029.

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Yan, J., Wen Hui Yan, and Li Ping Wang. "Reliability Analysis of Pressure Meter Electronic System Based on Fault Tree." Applied Mechanics and Materials 347-350 (August 2013): 917–21. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.917.

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Pressure meter is an important testing and storage investment during oilfield hydraulic fracturing. The pressure meter electronic system mainly composed by the microcontroller module, battery module, temperature signal acquisition and processing module, the pressure signal acquisition and processing module and memory module. This paper briefly introduced the principle of pressure meter, and established fault tree based on schematic diagram of pressure meter electronic system and specific cause of failure; Aiming at solving traditional reliability analysis the limitation of long cycle and poor

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Roman Čerešňák, Karol Matiaško, and Adam Dudáš. "Various Approaches Proposed for Eliminating Duplicate Data in a System." Communications - Scientific letters of the University of Zilina 23, no. 4 (October 1, 2021): A223—A232. http://dx.doi.org/10.26552/com.c.2021.4.a223-a232.

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The growth of big data processing market led to an increase in the overload of computation data centers, change of methods used in storing the data, communication between the computing units and computational time needed to process or edit the data. Methods of distributed or parallel data processing brought new problems related to computations with data which need to be examined. Unlike the conventional cloud services, a tight connection between the data and the computations is one of the main characteristics of the big data services. The computational tasks can be done only if relevant data a

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Wasko, Wojciech, Alessandro Albini, Perla Maiolino, Fulvio Mastrogiovanni, and Giorgio Cannata. "Contact Modelling and Tactile Data Processing for Robot Skins." Sensors 19, no. 4 (February 16, 2019): 814. http://dx.doi.org/10.3390/s19040814.

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Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses computational aspects playing a significant role when extracting information about contact events. Considering a large-scale, capacitance-based robot skin technology we developed in the past few years, we analyse the classical Boussinesq–Cerruti’s solution and the Love’s approach for solving a distributed inverse contact problem, both from a qualitative and a computational perspective. Our contribution is the characterisation of the algorithms’

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Dewri, Rinku, Toan Ong, and Ramakrishna Thurimella. "Linking Health Records for Federated Query Processing." Proceedings on Privacy Enhancing Technologies 2016, no. 3 (July 1, 2016): 4–23. http://dx.doi.org/10.1515/popets-2016-0013.

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Abstract A federated query portal in an electronic health record infrastructure enables large epidemiology studies by combining data from geographically dispersed medical institutions. However, an individual’s health record has been found to be distributed across multiple carrier databases in local settings. Privacy regulations may prohibit a data source from revealing clear text identifiers, thereby making it non-trivial for a query aggregator to determine which records correspond to the same underlying individual. In this paper, we explore this problem of privately detecting and tracking the

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Du, Jun Wei, Wei Qiang Chen, Zhong Zhu, Xin Liu, Si Jun Wan, and Chang Bin Liao. "A Redundancy Design Schema of Distributed Real-Time Database Applied in ISCS." Applied Mechanics and Materials 174-177 (May 2012): 2142–46. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.2142.

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Reliability is one of the most important properties of integrated supervisory and control system (ISCS) in metro. Redundancy technology, a fault tolerant mechanism, can significantly improve ISCS reliability. This paper introduces a redundancy design schema and its implementation in distributed real-time database, which is the kernel part of ISCS, Including upstream and downstream data redundancy processing technology, fault detection and redundancy switch technology. The result shows that this schema is feasible and reasonable.

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Akanbi, Adeyinka, and 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, no. 11 (June 3, 2020): 3166. http://dx.doi.org/10.3390/s20113166.

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In recent years, the application and wide adoption of Internet of Things (IoT)-based technologies have increased the proliferation of monitoring systems, which has consequently exponentially increased the amounts of heterogeneous data generated. Processing and analysing the massive amount of data produced is cumbersome and gradually moving from classical ‘batch’ processing—extract, transform, load (ETL) technique to real-time processing. For instance, in environmental monitoring and management domain, time-series data and historical dataset are crucial for prediction models. However, the envir

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Wang, Kun, Linchao Zhuo, Yun Shao, Dong Yue, and Kim Fung Tsang. "Toward Distributed Data Processing on Intelligent Leak-Points Prediction in Petrochemical Industries." IEEE Transactions on Industrial Informatics 12, no. 6 (December 2016): 2091–102. http://dx.doi.org/10.1109/tii.2016.2537788.

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Sun, Qi, and Hui Yan Zhao. "Design of Distribute Monitoring Platform Base on Cloud Computing." Applied Mechanics and Materials 687-691 (November 2014): 1076–79. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1076.

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Based on cloud computing distributed network measurement system compared to traditional measurement infrastructure, the use of cloud computing platform measurement data stored in massive large virtual resource pool to ensure the reliability of data storage and scalability, re-use cloud computing platform parallel processing mechanism, the mass measurement data for fast, concurrent analytical processing and data mining. Measuring probe supports a variety of different measurement algorithms deployed to support a variety of data acquisition formats, in the measurement method provides a congestion

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Przystupa, Krzysztof, Mykola Beshley, Olena Hordiichuk-Bublivska, Marian Kyryk, Halyna Beshley, Julia Pyrih, and Jarosław Selech. "Distributed Singular Value Decomposition Method for Fast Data Processing in Recommendation Systems." Energies 14, no. 8 (April 19, 2021): 2284. http://dx.doi.org/10.3390/en14082284.

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The problem of analyzing a big amount of user data to determine their preferences and, based on these data, to provide recommendations on new products is important. Depending on the correctness and timeliness of the recommendations, significant profits or losses can be obtained. The task of analyzing data on users of services of companies is carried out in special recommendation systems. However, with a large number of users, the data for processing become very big, which causes complexity in the work of recommendation systems. For efficient data analysis in commercial systems, the Singular Va

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Chen, Yuan, Soummya Kar, and Jose M. F. Moura. "Resilient Distributed Parameter Estimation With Heterogeneous Data." IEEE Transactions on Signal Processing 67, no. 19 (October 1, 2019): 4918–33. http://dx.doi.org/10.1109/tsp.2019.2931171.

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Kay, S., and Quan Ding. "On the Performance of Independent Processing of Independent Data Sets for Distributed Detection." IEEE Signal Processing Letters 20, no. 6 (June 2013): 619–22. http://dx.doi.org/10.1109/lsp.2013.2260694.

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Xiao, Fuyuan, and Masayoshi Aritsugi. "An Adaptive Parallel Processing Strategy for Complex Event Processing Systems over Data Streams in Wireless Sensor Networks." Sensors 18, no. 11 (November 2, 2018): 3732. http://dx.doi.org/10.3390/s18113732.

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Efficient matching of incoming events of data streams to persistent queries is fundamental to event stream processing systems in wireless sensor networks. These applications require dealing with high volume and continuous data streams with fast processing time on distributed complex event processing (CEP) systems. Therefore, a well-managed parallel processing technique is needed for improving the performance of the system. However, the specific properties of pattern operators in the CEP systems increase the difficulties of the parallel processing problem. To address these issues, a paralleliza

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