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CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey

Xiang Fei, Nazaraf Shah, Nandor Verba, Kuo-Ming Chao, Victor Sanchez-Anguix, Jacek Lewandowski, Anne James, Zahid Usman
2019 Future generations computer systems  
One characteristic of CPS is the reciprocal feedback loops between physical processes and cyber elements (computation, software and networking), which implies that data stream analytics is one of the core  ...  There have been many successful applications of data streams analytics, powered by machine learning techniques, to CPS systems.  ...  The authors in [16] and [15] presented a survey on data stream analytics from the perspective of clustering algorithms.  ... 
doi:10.1016/j.future.2018.06.042 fatcat:kj722esur5g5vinajrdanunjw4

Revisiting Piggyback Prototyping: Examining Benefits and Tradeoffs in Extending Existing Social Computing Systems [article]

Daniel A. Epstein, Fannie Liu, Andrés Monroy-Hernández, Dennis Wang
2022 arXiv   pre-print
We discuss the opportunities and applications of "piggyback prototyping", building and evaluating new ideas for social computing on top of existing ones, expanding on its potential to contribute design  ...  Drawing on about 50 papers which use the method, we critically examine the intellectual and technical benefits it provides, such as ecological validity and leveraging well-tested features, as well as research-product  ...  ACKNOWLEDGMENTS We thank our coauthors of SnapPI, Expressive Biosignals, and Mindful Garden and participants at the Social Computing Systems Summer Camp for initial discussions on this topic.  ... 
arXiv:2208.05456v1 fatcat:vrt3zq4iafghhixkieifsiox74

A real time processing and streaming of wireless network data using Storm

Mohit M. Maske, Prakash Prasad
2015 2015 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)  
It proved that data analysis system for stream and real time processing based on storm can be used in various computing environment.  ...  In this survey use this static data stream and some logs stream and also click stream to show some basic result.  ...  Also I want to thanks my guide to research of this topic with me on this survey and the references I have used throughout this project as well as the anonymous reviewers for their valuable comments.  ... 
doi:10.1109/iccpeic.2015.7259471 fatcat:guwd6tmboff4bgfvmdmpgm65ya

An Introduction to Real Time Processing and Streaming of Wireless Network Data
IJARCCE - Computer and Communication Engineering

Mohit Maske, Dr. Prakash Prasad
2015 IJARCCE  
It proved that data analysis system for stream and real time processing based on storm can be used in various computing environment.  ...  At the same time real time processing is intently needed in integrated system. An entire system is built on one such application Storm, associated with Sql Stream.  ...  Our survey on this topic to data stream and click stream event data is one the most important sources of information in website usage.  ... 
doi:10.17148/ijarcce.2015.4150 fatcat:bnlelmjwdrhyxmi33iou6ljn2i

Decision Analysis Model for Cloud Based Grass Surveillance Systems

Irfan Syamsuddin, Anton Satria Prabuwono, Ahmad Hoirul Basori, Arif Bramantoro, Arda Yunianta, Alaa Omran Almagrabi
2018 Zenodo  
This study proposes a new decision analysis model for guiding decision makers to perform selection among existing video streaming algorithms to enhance grass surveillance systems on the cloud.  ...  In order to support cloud based grass surveillance systems, appropriate video streaming technique is considered be applied according to real time monitoring requirements.  ...  based on cloud computing technology.  ... 
doi:10.5281/zenodo.2557266 fatcat:yjqffdw6lzfklaywpoj7qbttfe

Page 460 of Communications of the Association for Computing Machinery Vol. 3, Issue 7 [page]

1960 Communications of the Association for Computing Machinery  
of domestic electronic digital computing and data processing systems.  ...  Weik Editor, Computer Survey Computing Laboratory, BRL Aberdeen Proving Ground, Maryland BRL welcomes any inquiries concerning this survey.  ... 

CoLiTec Software for the Astronomical Data Sets Processing

Sergii Khlamov, Vadym Savanevych, Olexander Briukhovetskyi, Artem Pohorelov, Vladimir Vlasenko, Eugen Dikov
2018 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)  
or streams.  ...  Also the benefits of an usage of the OnLine Data Analysis System (OLDAS) was described.  ...  These sets can be fed in different forms, e.g. files stream, video stream, physical data saved on the different servers.  ... 
doi:10.1109/dsmp.2018.8478504 fatcat:mbcw27byyfhfdkvidizcn2untm

4.-8. März 2019

Wolfram Wingerath, Felix Gessert, Norbert Ritter
2019 Datenbanksysteme für Business, Technologie und Web  
databases: Instead of database collections, stream-oriented systems are based on a notion of potentially unbounded sequences of data items.  ...  In this tutorial, we survey and categorize the system space between pull-oriented databases and push-oriented stream management systems, using their respectively facilitated means of data retrieval as  ...  pull-based push-based Database Management sta�c collec�ons Stream Processing unstructured streams Data Stream Management structured streams At the one extreme, there are traditional databases which  ... 
doi:10.18420/btw2019-ws-28 dblp:conf/btw/WingerathGR19a fatcat:d625nmwkqbc2vbmk6sltvognke

Urban Drainage Network Generation with Geographic Information Systems Using Remotely Sensed Data

Nishendra Attygalla, N. T. S. Wijesekera
2006 Engineer Journal of the Institution of Engineers Sri Lanka  
In Sri Lanka most of the existing urban drainage systems are not functioning properly.  ...  Establishing a proper drainage system in an urban extremely important since it could avoid floods and inundation which causes damage to property and inconvenience to city dwellers; improve health  ...  In the present system, the stream network is also surveyed and superimposed on to the contour map.  ... 
doi:10.4038/engineer.v39i3.7192 fatcat:do256ocfqjactmfnnv2ed2vbci

Analysis of Data Stream Processing At Edge Layer for Internet of Things

Dr. Pasumponpandian
2020 Journal of ISMAC  
The paper puts forth the analysis of the data stream processing in the edge layer taking in the complexities involved in the computing the data streams of IOT in an edge layer and puts forth the real time  ...  analytics in the edge layer to examine the data streams of the internet of things offering a data- driven insight for parking system in the smart cities.  ...  The figure.4 below shows the latency observed while data streaming in the edge and is compared with the usual latencies that occur in the cloud.  ... 
doi:10.36548/jismac.2020.1.003 fatcat:u6q7ns5oundezjycvu5d6662a4

An Improved Stream Processing Access

In this paper we are focusing on improving stream processing techniques, limitations and future research directions for real-time stream processing  ...  Such applications should require efficient online data streaming techniques to process large amount of unstructured online data streams instead of offline.  ...  From the survey we identified that the existing streaming platform are not offering full-fledged API to survey better for data driven society in terms of real time data utilization.  ... 
doi:10.35940/ijitee.k1147.09811s19 fatcat:hxbafhbeabbxpigf3mystx4h6m

Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems

Pekka Pääkkönen, Daniel Pakkala
2015 Big Data Research  
Acknowledgements The authors acknowledge Markus Meier for design of the reference architecture for big data systems, which inspired the authors for replication and differentiation in this work.  ...  Additionally, we acknowledge developers and publishers of the reviewed big data use cases, whose publications were used as empirical material in this study.  ...  The system is based on distributed data stream processing middleware (System S by IBM research) and Apache Hadoop technologies.  ... 
doi:10.1016/j.bdr.2015.01.001 fatcat:diyyx34wqzewbcwshq2yezsxm4

A Survey on IoT Big Data Analytic Systems: Current and Future

Yuya Sasaki
2021 IEEE Internet of Things Journal  
In this survey, we review current systems that can efficiently analyze IoT data. Existing systems can be categorized into batch and stream processing systems.  ...  This survey aims to help researchers and practitioners better understand current systems and develop new IoT big data analytic systems.  ...  [21] surveyed operating systems in IoT environments. This survey does not focus on data analytics. Cao et al.  ... 
doi:10.1109/jiot.2021.3131724 fatcat:cgvglkxiavdg3a6uv2zljl4ofm

SIROM3 -- A Scalable Intelligent Roaming Multi-modal Multi-sensor Framework

Jiaxing Zhang, Hanjiao Qiu, Salar Shahini Shamsabadi, Ralf Birken, Gunar Schirner
2014 2014 IEEE 38th Annual Computer Software and Applications Conference  
A Heterogeneous Stream File-system Overlay (HSFO) and a flexible plugin system (PLEX) are embedded in SIROM 3 to simplify big data storage, processing, and correlation.  ...  However, due to sensor versatility and computing intricacy, designing such systems faces challenges of immense complexity in mobile sensor fusion, big data handling, system scalability, and integration  ...  It may have multiple surveys, which contain multiple sessions, which further contain streams. Streams may include multiple f iles that are pointing to the raw binary files on the file system.  ... 
doi:10.1109/compsac.2014.97 dblp:conf/compsac/ZhangQSBS14 fatcat:jkrduvvuorhsphbcrcfqkxivxe

A survey of systems for massive stream analytics [article]

Maninder Pal Singh, Mohammad A. Hoque, Sasu Tarkoma
2016 arXiv   pre-print
The immense growth of data demands switching from traditional data processing solutions to systems, which can process a continuous stream of real time data.  ...  Various applications employ stream processing systems to provide solutions to emerging Big Data problems.  ...  This survey paper has been supported by the University of Helsinki as a learning initiative under Seminar course on distributed computing frameworks for Big Data.  ... 
arXiv:1605.09021v2 fatcat:6wm5s5hizra6jdqr7jxyiife2y
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