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Modern Network Analytics Architecture Stack to Enterprise Networks

K. Palanivel
2019 International Journal for Research in Applied Science and Engineering Technology  
With this architecture, it strongly believes that it can improve agility, while at the same time having control over data integration and distribution.  ...  The proposed architecture stack offers a breadth of analytics solutions architecture that enable network providers to gradually adopt analytics.  ...  Web browsers for visualization using a graphical API that supports real-time updates.  ... 
doi:10.22214/ijraset.2019.4480 fatcat:otcfqi7c4beb7mid5chcp2nsyi

PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data [article]

Gautam S. Thakur, Budhendra L. Bhaduri, Jesse O. Piburn, Kelly M. Sims, Robert N. Stewart, Marie L. Urban
2015 arXiv   pre-print
GeoData Cloud - a data architecture for storing and managing disparate datasets; ii. Mechanism to harvest real-time streaming data; iii. Data analytics framework; iv.  ...  In this work, we propose PlanetSense, a platform for geospatial intelligence that is built to harness the existing power of archived data and add to that, the dynamics of real-time streams, seamlessly  ...  The platform has ability to combine large volumes of historic and real-time data at the same time. A novel feature is an analytics layer that input data for discovering intelligence in real-time.  ... 
arXiv:1507.05245v1 fatcat:taioonemgzf5rhpoceg27kgnb4

Real-time business intelligence system architecture with stream mining

Yang Hang, Simon Fong
2010 2010 Fifth International Conference on Digital Information Management (ICDIM)  
We argued that a new breed of data-mining, namely stream-mining where continuous data streams arrive into the system and get mined very quickly, stimulates the design of a new real-time BI architecture  ...  Business Intelligence (BI) capitalized on datamining and analytics techniques for discovering trends and reacting to events with quick decisions.  ...  The proposed architecture may address the challenge of processing high-volume, real-time data with requiring the use of custom code. rt-BI systems provide pattern discovery, trend detection, and visualization  ... 
doi:10.1109/icdim.2010.5664637 dblp:conf/icdim/HangF10 fatcat:bohfucramjcdnncii65yn6vnb4

Visualizing Information for Enterprise Architecture Design Decisions using Elastic Stack

Janik Schüssler, Denis Karbstein, Dennis Klein, Alfred Zimmermann
2018 Business Informatics Research  
Digital Enterprise Architecture allows multiple viewpoints on a company's IT landscape.  ...  The mechanism of understanding huge amounts of data is based on three main steps: collect, process and use.  ...  It is possible to present changes in Elasticsearch in near real-time through a variety of visualization types or dynamic dashboards [3] . This can make it easy to under-stand large volumes of data.  ... 
dblp:conf/bir/SchusslerKKZ18 fatcat:3ajw3t2awvfpxlly5ew4idijvu

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.  ...  This research has been carried out in Digile Need for Speed program, and it has been partially funded by Tekes (the Finnish Funding Agency for Technology and Innovation).  ...  Generalized software architecture was proposed for predictive analytics of historical and real-time temporally structured data [89] .  ... 
doi:10.1016/j.bdr.2015.01.001 fatcat:diyyx34wqzewbcwshq2yezsxm4

Big Data Tools-An Overview

Rabie Ramadan
2017 International Journal of Computer & Software Engineering  
Big data is a way for nontraditional strategies and techniques to organize, store, and process huge data collected from large datasets.  ...  The Volume deals with the size of the data and required storage while Velocity is related to data streaming time and latency. Throughout this paper, we review the state-of-the-art of big data tools.  ...  Figure 4 is IBM Big Data and Analytics Reference Architecture -Detailed Capabilities.  ... 
doi:10.15344/2456-4451/2017/125 fatcat:4ahnjnt2o5acncefjx5csxkeke

A Platform for Urban Analytics and Semantic Data Integration in City Planning [chapter]

Achilleas Psyllidis, Alessandro Bozzon, Stefano Bocconi, Christiaan Titos Bolivar
2015 Communications in Computer and Information Science  
This paper presents a novel web-based platform that supports the analysis, integration, and visualization of large-scale and heterogeneous urban data, with application to city planning and decision-making  ...  The paper further demonstrates an implemented prototype of the platform and its deployment in real-world use cases for monitoring, analyzing, and assessing city-scale events.  ...  It introduces an open platform for the collection, combination, and distribution of large-scale real-time urban data streams.  ... 
doi:10.1007/978-3-662-47386-3_2 fatcat:vvhtjrhkwfdtfezl7hkywjd6zq

Engineering Scalable Distributed Services for Real-Time Big Data Analytics

Sahar Jambi, Kenneth M. Anderson
2017 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)  
There is high demand for techniques and tools to process and analyze large sets of streaming data in both industrial and academic settings.  ...  In particular, I focus on providing analysts flexibility with respect to the types of queries they can make on large data sets, in real time as well as over historical data.  ...  Enabling Real-Time Big Data Analytics EPIC Real-Time needs to provide real-time analytics on streaming Twitter data.  ... 
doi:10.1109/bigdataservice.2017.22 dblp:conf/bigdataservice/JambiA17 fatcat:ffx657klkbbqvnv7v6yztb6tfi

Industrial Big Data Analytics: Challenges, Methodologies, and Applications [article]

JunPing Wang, WenSheng Zhang, YouKang Shi, ShiHui Duan, Jin Liu
2018 arXiv   pre-print
These challenges for industrial big data analytics is real-time analysis and decision-making from massive heterogeneous data sources in manufacturing space.  ...  We focus on five important methodologies of industrial big data analytics: 1) Highly distributed industrial data ingestion: access and integrate to highly distributed data sources from various systems,  ...  ACKNOWLEDGMENT The authors also would like to thank anonymous editor and reviewers who gave valuable suggestion that has helped to improve the quality of the manuscript.  ... 
arXiv:1807.01016v2 fatcat:wyvz2pxasjh3pm6t7ozow3hlki

Big Data Analytics to Increase the Agricultural Yield by Using Machine Learning Approaches

V. Sudha, S. Mohan, S. Arivalagan
2018 Asian Journal of Computer Science and Technology  
A study of machine learning algorithms for big data Analytic is also done and presented in this paper.  ...  This review paper facilitates the farmers in selecting the right crops and appropriate cropping pattern for a particular locality.  ...  real-time data analysis streaming data.  ... 
doi:10.51983/ajcst-2018.7.s1.1799 fatcat:w47at3qonjaunf4f6v7frwwqtu

General architecture for data analysis in industry 4.0 using SysML and model based system engineering

Marcio Arantes, Renan Bonnard, Andre Pierre Mattei, Pierre de Saqui-Sannes
2018 2018 Annual IEEE International Systems Conference (SysCon)  
The paper presents an architecture framework to allow data analysis in different factories in the Industry 4.0 context. A MBSE approach is proposed and the use of SysML is assessed in that context.  ...  The industrial manufacturing sector has substantially evolved over the past decade, with the collect and analyze of sensors and apparatus data.  ...  Dashboard: This is a feature accessible through the Web system and can be viewed in real time by PCs, notebooks, tablets, and displayed on big screens and smart TVs.  ... 
doi:10.1109/syscon.2018.8369574 dblp:conf/syscon/ArantesBMS18 fatcat:t6gjj7nekvbmpdmvar5fgyttva

Video Big Data Analytics in the Cloud: Research Issues and Challenges [article]

Aftab Alam, Shah Khalid, Muhammad Numan Khan, Tariq Habib Afridi, Irfan Ullah, Young-Koo Lee
2020 arXiv   pre-print
This study proposes a service-oriented layered reference architecture for intelligent video big data analytics in the cloud.  ...  However, the current work is too limited to provide an architecture on video big data analytics in the cloud, including managing and analyzing video big data, the challenges, and opportunities.  ...  Fig. 1 . 1 A reference architecture for intelligent video analytics in the cloud.  ... 
arXiv:2011.02694v1 fatcat:gbshlwsli5bxtnvnbpcdzvnzca

Real-time visualization and targeting of online visitors

Deepak Pai, Sandeep Zechariah George
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
In this demonstration, we showcase an interactive real-time user interface for marketers to visualize and target visitor segments.  ...  Identifying and targeting visitors on an e-commerce website with personalized content in real-time is extremely important to marketers.  ...  VISUALIZATION CONCLUSION In this demonstration we have created a real-time dashboard for marketer to visualize on-site traffic patterns and target selected user segments with offers.  ... 
doi:10.1145/2600428.2611180 dblp:conf/sigir/PaiG14 fatcat:lfxwu5red5dxxixsacxgsmyyqi

Towards a Reference Big Data architecture for sustainable smart cities

Saida EL MENDILI
2020 International Journal of Advanced Trends in Computer Science and Engineering  
This paper propose a new architecture for large data analysis for smart cities called "BIG DATA ANALYTICS FRAMEWORK FOR SMART CITY (BDAFSC)", The proposed framework specifically addresses a conceptual  ...  Thus, the knowledge of these large data in a context of urban and intelligent decision-making has become an issue for current systems.  ...  the quality of real-time analytics on IoT data.  ... 
doi:10.30534/ijatcse/2020/118912020 fatcat:wcpdqc2ujzedvk57qfdluss7na

Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events [chapter]

G. A. Vouros, A. Vlachou, G. Santipantakis, C. Doulkeridis, N. Pelekis, H. Georgiou, Y. Theodoridis, K. Patroumpas, E. Alevizos, A. Artikis, G. Fuchs, M. Mock (+6 others)
2018 Lecture Notes in Computer Science  
Acknowledgments This work was supported by project datACRON, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 687591.  ...  The datAcron system architecture, depicted in Figure 1 , can be considered as a Big Data architecture for processing both real-time and archival data.  ...  The low-level events refer to two basic datAcron tasks to be performed in real-time on the trajectories: generating metadata on incoming raw data for detection of erroneous data and ensuring data quality  ... 
doi:10.1007/978-3-319-90053-7_13 fatcat:mwpj6jpozfdmxmtbde3t3qqknq
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