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Adaptive Edge and Fog Computing Paradigm for Wide Area Video and Audio Surveillance
2018
Zenodo
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In this paper, we describe a novel, adaptive architecture and that builds on top of a distributed computing paradigm and is ideal for smart surveillance systems that can utilize resources at cloud, fog ...
Edge computing is realized by a camera embedded system, cloud computing with the usage of public accessible infrastructure for data processing and fog computing for the processing and data fusion of video ...
The evolution of serverless computing is reinforced by the continuous advances in container-based technology together with the consolidation of cloud computing platforms [4] . ...
doi:10.5281/zenodo.2359817
fatcat:irvnfqycdvd5tfb7svm4k3wy7m
Roles & Challenges of Edge Computing in Internet of Things (IoT) Devices
2021
International Journal of Mechanical Engineering
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Here in this paper we had conducted a broad review of Edge Computing & in what way Edge device assignment marks healthier presentation in IOT n/w's & we have made a proportional learning of dissimilar ...
By stirring computing volume to the network's edge, edge-computing decreases the dispensation & transmission stress on cloud computing centers however concurrently dipping the time it takes for consumers ...
A Cloud-let stands "data center in a container" that make virtual mechanism proficient of distributing resources in actual time through a wireless LAN n/w to end devices & users. ...
doi:10.56452/2021sp-8-015
fatcat:e2gl52a2l5c75k3fu4owqlkshm
Prestocloud: Proactive Cloud Resources Management At The Edge For Efficient Real-Time Big Data Processing
2017
Zenodo
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Among the greatest challenges of cloud computing is to automatically and efficiently exploit infrastructural resources in a way that minimises cloud fees without compromising the performance of resource ...
In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog ...
(e.g. smartphones), orchestrated in a controlled way with the rest of cloud resources. ...
doi:10.5281/zenodo.1133307
fatcat:c4frsg4tmfhgjefobwblr64fnu
5G Applications in Heterogeneous Network Issues and Challenges
2020
International journal of computer science and mobile computing
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This paper x rays an overall overview of 5G mobile communication technology and its application in a heterogeneous network. 5G ( 5 th generation of mobile network technology) is a trade of from 4GLTE, ...
resources [21] . ...
capabilities and may act as a relay/ hub or a computing/ storage resource, depending on the context. ...
doi:10.47760/ijcsmc.2020.v09i09.010
fatcat:3pbgj6czabf3divfsitc7zcc3u
Unmanned aerial vehicle for internet of everything: Opportunities and challenges
2020
Computer Communications
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2020 pre-print arXiv:2003.13311v1 fatcat:hgizofse2zfhdpudftdqyoqvjiOther Versions
This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. ...
However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. ...
It is a necessity to orchestrate various computing resources and schedule different computing tasks at local side, edge side, and cloud side in order to enable a ubiquitous computing capability On top ...
doi:10.1016/j.comcom.2020.03.017
fatcat:jfzpmaarlbgkrmmh4edx72b6om
Load Balancing using Docker and Kubernetes: A Comparative Study
2020
International journal of recent technology and engineering
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This paper presents a study on the latest methods which are being implemented to perform effective load balancing on containers. ...
Still in its early years, containers are increasingly being used in production environments. ...
A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment [6] introduces a new scheduling strategy on load balancing of VM resources based on a genetic algorithm ...
doi:10.35940/ijrte.b3938.079220
fatcat:a3ycckuwfnhq5emhsw5xwbdwue
5GZORRO_D6.4: Initial Market and Business Opportunities Analysis
2021
Zenodo
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•Smart contracts based on the above data to mediate the business relationships in these scenarios. •Trusted execution environments to support the above and enhance network security in general. ...
The report is structured around the business opportunities derived from the scenarios and use cases identified in D2.1, and it covers three main technology axes of the project consolidated as the ones ...
at the edge (Edge Computing). ...
doi:10.5281/zenodo.5608445
fatcat:wecgpw4h3fdpdg73l2oexlutzy
Swim: A Runtime for Distributed Event-Driven Applications
[article]
2022
arXiv
pre-print
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Streaming actors are vertices in the dataflow graph that concurrently analyze new events and modify their states. A link is an edge in the graph and is a URI binding to an actor's streaming API. ...
Swim applications are tiny, robust and resource efficient, and remain effortlessly in-sync with the real-world, analyzing, learning, and predicting on-the-fly. ...
machine resources, and multi-cloud/edge applications are deployed in VMs or containers [16] on an abstraction like Kubernetes [17] . • Moreover, both Swim and its applications may need to span machines ...
arXiv:2205.10458v1
fatcat:5li5zmxdafef7gk5camscmvqee
Unsupervised Data Splitting Scheme for Federated Edge Learning in IoT Networks
[article]
2022
arXiv
pre-print
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To tackle this issue, we propose a data-driven federated edge learning scheme that tends to select suitable participating nodes based on quality data and energy. ...
Federated Edge Learning (FEEL) is a promising distributed learning technique that aims to train a shared global model while reducing communication costs and promoting users' privacy. ...
Thereafter, the edge server selects a subset of nodes to participate in the training based on their similarity score and communication/computation energy. ...
arXiv:2203.04376v1
fatcat:npjtzcku5fcyddlv7ujbrocy4u
Capillary networks - bridging the cellular and IoT worlds
2015
2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)
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The Internet of Things (IoT) represents a new revolutionary era of computing technology that enables a wide variety of devices to interoperate through the existing Internet infrastructure. ...
The potential of this era is boundless, bringing in new communication opportunities in which ubiquitous devices blend seamlessly with the environment and embrace every aspect of our lives. ...
This work was partly carried in the IoT SRA program of Tivit (Finnish Strategic Centre for Science, Technology and Innovation in the field of ICT), funded by Tekes. ...
doi:10.1109/wf-iot.2015.7389117
dblp:conf/wf-iot/NovoBOKKK15
fatcat:4v7rrhwg7beyzlfqj6c2ydw3mu
An Ensemble Stacked four Layered Architectures for Image Retrieval
2020
International journal of recent technology and engineering
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This paper suggests the benefit of the image retrieval system based on content as well as innovative technologies. ...
They address the similarity tests depending on which games are made and images are retrieved for a short time. ...
The first is based on manually performed handwritten data by a person. This is called indexing of objects based on idea or text. ...
doi:10.35940/ijrte.e5053.018520
fatcat:osvxrsc3czcqpoejd5bfrczeuy
Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey
2021
Electronics
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In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. ...
Fifth-generation (5G) technology will play a vital role in future wireless networks. ...
methods for how resources are to be orchestrated [356] . ...
doi:10.3390/electronics11010121
fatcat:ho7yyefbm5gf3bz3t2h3cxqtjq
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
[article]
2019
arXiv
pre-print
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One of them is Cloud of Things enabled by the corporation of Cloud computing and Internet of Things (IoT). ...
up with the latest technologies in this fast-growing field. ...
The work [149] introduces an optimal computing resource allocation based on an auction scheme for edge-cloud-enabled IoT in the blockchain network. ...
arXiv:1908.09058v1
fatcat:ik4s66nxifhthgm3gj3rrbgbey
Integrating Leading-Edge Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies for Smart and Sustainable Architecture, Engineering and Construction (AEC) Industry: Challenges and Future Directions
2023
International Journal of Data Science and Big Data Analytics
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It focuses on the crucial roles played by IoT technology, advanced computing models, and big data technology. ...
This research delves into the challenges and future directions associated with seamlessly integrating these cutting-edge technologies in the AEC sector. ...
Bias and Fairness AI algorithms are often trained on historical data, which may contain biases. ...
doi:10.51483/ijdsbda.3.2.2023.73-95
fatcat:hwb6opqvwbfetc2znqftdphnam
Research Analysis of Big Data and Cloud Computing with Emerging Impact of Testing
2018
International Journal of Engineering & Technology
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In any case, Big Data is still in its outset arrange, and the space has not been checked on all in all. Distributed computing has opened up new open doors for testing offices. ...
In the advanced and figuring world, all together is created and gathered at a rate that quickly surpasses the limit go. ...
Testing a Saas in a Cloud It reassures the quality of a SaaS in a cloud based on it functional and non-functional service requirements. [21] B
. ...
doi:10.14419/ijet.v7i3.27.17885
fatcat:tjzstzsmabcbfhmw4j2pfqifli
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