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Cyber‐physical network architecture for data stream provisioning in complex ecosystems

Kennedy Chinedu Okafor, Michael Chukwudi Ndinechi, Sanjay Misra
2021 Transactions on Emerging Telecommunications Technologies  
Individual edge clusters are connected to the edge-fog layer, which communicates with iFog gateways for processing streams' requests.  ...  For latency profile, the results indicate that Fog and cloud streams had 20.31% and 77.69%, respectively.  ...  cloud I c while generating I/O data streams for analytics.  ... 
doi:10.1002/ett.4407 fatcat:t7a7oi4olzabjmhwzrhej5ppzm

Proactivecloud Resources Management At Theedge Forefficientreal-Time Big Data Processing

Harald Schöning
2017 Zenodo  
ProactiveCloud Resources Management at theEdge forefficientReal-time Big Data Processing.  ...  Streaming Analytics for efficient real-time big data processing. © 2017 Software AG.  ...  Changes can happen:  in the incoming data streams,  in the Quality of Service,  in the speed of changes in data streams (  in the processing node status.)  ... 
doi:10.5281/zenodo.1138578 fatcat:ll3vehr6crhb5i2yjlkhzaca5i

Knowledge Integration in Smart Factories

Johannes Zenkert, Christian Weber, Mareike Dornhöfer, Hasan Abu-Rasheed, Madjid Fathi
2021 Encyclopedia  
IoT uses different data processing solutions, such as cloud computing, fog computing, or edge computing, to fuse and process data. This is accomplished in an integrated and cross-device manner.  ...  Different organizational structures and processes are supported with the help of appropriate technologies and suitable data processing and integration techniques.  ...  Acknowledgments: The authors would like to thank their students Hüseyin Turan and Sefa Colak for their support in the pre-study phase of this entry.  ... 
doi:10.3390/encyclopedia1030061 fatcat:lrkdymzxjfb3zd42y53rfiryvq

A Smart Data Pre-Processing Approach to Effective Management of Big Health Data in IoT Edge

Şükrü Mustafa Kaya, Atakan Erdem, Ali Güneş
2021 Smart Homecare Technology and TeleHealth  
The classification success and data processing speed of the random cut forest, logistic regression, Naive Bayes, and neural network algorithms used for anomaly detection are compared.  ...  The main objective of this paper is to detect anomalies at the edge of IoT for the effective management of big health data.  ...  Data filtering and data analysis processes for data pre-processing at IoT edges make the resulting data stream more accurate and reliable.  ... 
doi:10.2147/shtt.s313666 fatcat:m3wwtrsdfvhthkkbd6rxkb2bsa

An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications

Hung Cao, Monica Wachowicz
2019 Sensors  
This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.  ...  Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence  ...  We would like to thank Compute Canada for providing us with the cloud resources, the City of Saint John, NB, Canada, and HotSpot Parking for giving us access to their IoT stream data.  ... 
doi:10.3390/s19163594 fatcat:ajvygzkmlffmdamcurtp4no55y

Demonstrating the Architecture for Situation-aware Logistics using Smart Returnable Assets

Jean Paul Sebastian Piest, Rob Henk Bemthuis, Gilang Charismadiptya
2020 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW)  
Building on earlier work, this paper aims to demonstrate and discuss an instantiated architecture for situation-aware logistics in an operational environment using smart returnable assets.  ...  situation-aware logistics.  ...  A special word of thanks is for Bart Knol of CAPE Groep and Erik Ekkel of Ahrma for making the technology and resources available for conducting this research.  ... 
doi:10.1109/edocw49879.2020.00024 dblp:conf/edoc/PiestBC20 fatcat:4se7cjl7fnc6nptyzijpq55dga

Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

Hong-Ning Dai, Hao Wang, Guangquan Xu, Jiafu Wan, Muhammad Imran
2019 Enterprise Information Systems  
This paper provides an overview on big data analytics in manufacturing Internet of Things (MIoT).  ...  This paper first starts with a discussion on necessities and challenges of big data analytics in manufacturing data of MIoT.  ...  As a result, the real-time tasks However, there are many challenges in edge computing for big data analytics in MIoT. • Collaboration between cloud and edge servers.  ... 
doi:10.1080/17517575.2019.1633689 fatcat:75muhzfrdnecdjwp75stikhxwu

The Role of Big Data Analytics in Industrial Internet of Things [article]

Muhammad Habib ur Rehman, Ibrar Yaqoob, Khaled Salah, Muhammad Imran, Prem Prakash Jayaraman, Charith Perera
2019 arXiv   pre-print
Big data analytics (BDA) is expected to provide operational- and customer-level intelligence in IIoT systems.  ...  However, big data processing is challenging due to limited computational, networking and storage resources at IoT device-end.  ...  that can be incurred in a cloud environment [115] .  ... 
arXiv:1904.05556v1 fatcat:mbgvewhx65hxdfouabitps756u

An Architecture for QoS-Aware Fog Service Provisioning

Elarbi Badidi, Awatif Ragmani
2020 Procedia Computer Science  
IoT data streams are typically transmitted to cloud services for processing.  ...  IoT data streams are typically transmitted to cloud services for processing.  ...  Organizations need to process IoT data streams in near real-time and use data analytics tools to gain insights and make informed decisions.  ... 
doi:10.1016/j.procs.2020.03.083 fatcat:rdbqkzw73vairm4bt3reqrzt7a

Towards Cloud-assisted Industrial IoT Platform for Large-scale Continuous Condition Monitoring [article]

Gang Wang, Mark Nixon, Mike Boudreaux
2021 IACR Cryptology ePrint Archive  
., one-way data diode, IoT cellular architecture) together for control network data collection and streaming of the collected device diagnostic parameters to a private cloud to perform streaming data analytics  ...  In this paper, we present the design of an Industrial IoT system for supporting large-scale and continuous device condition monitoring and analysis in process control systems.  ...  All data records collected through streaming protocol will be streamed to the cloud. D. Analytics in Cloud Two types of analytics were performed as part of the project.  ... 
dblp:journals/iacr/WangNB21 fatcat:q76afv5p3rbxncdxen4tnon5pu

A Comparative Study on Big Data Analytics Frameworks, Data Resources and Challenges

Flasteen Abuqabita, Razan Al-Omoush, Jaber Alwidian
2019 Modern Applied Science  
In this study we categorized the existing frameworks which is used for processing the big data into three groups, namely as, Batch processing, Stream analytics and Interactive analytics, we discussed each  ...  In order to extract the value from this data and make sense of it, a lot of frameworks and tools are needed to be developed for analyzing it.  ...  data a good thing that push the cloud environment for high level development.  ... 
doi:10.5539/mas.v13n7p1 fatcat:74icluidsnbd7koqximzjxzfii

QoS-Aware Placement of Tasks on a Fog Cluster in an Edge Computing Environment

Elarbi Badidi
2020 Journal of Ubiquitous Systems and Pervasive Networks  
These services typically rely on cloud services for processing IoT data streams, given that edge devices have limited computing and storage capabilities.  ...  However, time-sensitive IoT applications and services do not tolerate the high latency they can encounter when sending IoT data streams to the cloud.  ...  Acknowledgements This work is supported by the UAEU Program for Advanced Research Grant N. G00003443.  ... 
doi:10.5383/juspn.13.01.002 fatcat:qeuep5eiefdplpz6vtlhyvluci

Edge Computing: Utilization of the Internet of Things for Time-Sensitive Data Processing

Apoorva Ganapathy
2021 Asian Business Review  
The combination of Edge computing and the Internet of Things can potentially result in huge possibilities for users. This work accessed edge computing and the benefits of using edge computing.  ...  Various similar concepts like fog and cloud computing were also considered as closely related terms. This article provides insights into the use of edge computing in several industries.  ...  Also, edge computing uses an analytics process to find out the best and dependable low latency network stream for specific user traffic.  ... 
doi:10.18034/abr.v11i2.547 fatcat:7j2mhfnmdnfgbj5szzvbakg7wq

Big data and extreme-scale computing

M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, F Cappello, A Choudhary, B de Supinski, E Deelman, J Dongarra (+27 others)
2018 The international journal of high performance computing applications  
and other devices at the networks edge, and the centralized resources of commercial clouds and HPC centers.  ...  in a scalable manner to meet the highly diverse requirements for processing, communication, and buffering/storage of massive data workflows of many different scientific domains.  ...  Acknowledgments The authors would like to acknowledge David Rogers for his work on the illustrations, Sam Crawford for editing support and the creation of the Appendix, and Piotr Luszczek for technical  ... 
doi:10.1177/1094342018778123 fatcat:vwrrxmad4rhtppq6ioaz4h5q7a

Edge Intelligence for Data Handling and Predictive Maintenance in IIOT

Taimur Hafeez, Lina Xu, Gavin McArdle
2021 IEEE Access  
In IIoT, a traditional approach to collect data is to stream it from sensing devices to the cloud where it is processed and modelled.  ...  However, the solution does not disclose how the edge server performs processing on data streams.  ... 
doi:10.1109/access.2021.3069137 fatcat:htkvpzsssbe5rdbxxevqenmuc4
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