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IoT Application Placement Algorithm based on Multi-Dimensional QoE Prioritization Model in Fog Computing Environment

Heba Nashaat, Eman Ahmed, Rawya Rizk
2020 IEEE Access  
But fortunately, fog computing aims to service users at the network edge similar to cloud services, which helps in supporting IoT in processing the data near to the end-user, especially for time-sensitive  ...  The second phase is to map and place the request to the appropriate fog node instance, depending on its proximity, computing capabilities, and expected response time.  ...  Fog orchestration control nodes can receive requests for the execution of IoT applications from users.  ... 
doi:10.1109/access.2020.3003249 fatcat:lfgqyc5gnrav3b6f5oqtxmuzom

Decentralized Edge-to-Cloud Load-balancing: Service Placement for the Internet of Things [article]

Zeinab Nezami, Kamran Zamanifar, Karim Djemame, Evangelos Pournaras
2021 arXiv   pre-print
Load-balancing for fog computing becomes a cornerstone for cost-effective system management and operations.  ...  The proposed solution, EPOS Fog, introduces a decentralized multiagent system for collective learning that utilizes edge-to-cloud nodes to jointly balance the input workload across the network and minimize  ...  Candidate at ETH Zurich, for his assistance with employing I-EPOS.  ... 
arXiv:2005.00270v2 fatcat:5j4jlgtqgvbz3mzzyswdhppwne

A review on fog computing: Architecture, fog with IoT, algorithms and research challenges

Sabireen H., Neelenarayanan V.
2021 ICT Express  
In comparison with the cloud, Fog Computing delivers services with high quality and quick response time.  ...  With the increasing advancement in the applications of the Internet of Things (IoT), the integrated Cloud Computing (CC) faces numerous threats such as performance, security, latency, and network breakdown  ...  Fog Computing assists instantaneous communication amid IoT devices to decrease waiting time, particularly for IoT requests which are time-sensitive.  ... 
doi:10.1016/j.icte.2021.05.004 fatcat:43rt6gwiozaphefdd7aoemfiyi

TACRM: trust access control and resource management mechanism in fog computing

Wided Ben Daoud, Mohammad S. Obaidat, Amel Meddeb-Makhlouf, Faouzi Zarai, Kuei-Fang Hsiao
2019 Human-Centric Computing and Information Sciences  
WBD wrote the manuscript with support from AM All authors provided critical feedback and helped shape the research, analysis and manuscript. All authors read and approved the final manuscript.  ...  As a result, the design of a combined wireless fog-cloud computing approach based IoT network becomes essential for network control security and resource management.  ...  [12] , focused on QoS-based workflow planning.  ... 
doi:10.1186/s13673-019-0188-3 fatcat:yd4622hrxfggrdz4coguhu5fse

Utilization and load balancing in fog servers for health applications

Hasan Ali Khattak, Hafsa Arshad, Saif ul Islam, Ghufran Ahmed, Sohail Jabbar, Abdullahi Mohamud Sharif, Shehzad Khalid
2019 EURASIP Journal on Wireless Communications and Networking  
To overcome this problem, the authors are consolidating fog computing resources so that requests are handled by foglets and only critical requests are sent to the cloud for processing.  ...  Fog computing combined with cloud computing is more efficient as fog computing alone does not serve the purpose.  ...  Acknowledgements COMSATS University Islamabad provided support for conducting the experiments. Funding This work is funded under a HEC funded project Start up Research Grant Project no 1674.  ... 
doi:10.1186/s13638-019-1395-3 fatcat:syi2txwt6jfoxlo2sy63h32goy

Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities

Wasswa Shafik, S. Mojtaba Matinkhah, Mamman Nur Sanda, Fawad Shokoor
2021 JOIV: International Journal on Informatics Visualization  
The FESC gives an impression of an auspicious computing model for location, time, and delay-sensitive applications supporting vertically -isolated, service delay, sensitive solicitations by providing abundant  ...  We introduce a new model to address mainly energy efficiency about response time and the service delays in IoT-ESC.  ...  However, planned 5G real-time and mission-critical applications cannot be realized except the issues of user scheduling, and beamforming for energy-efficient Fog Radio Access Networks (RAN) resolved.  ... 
doi:10.30630/joiv.5.2.373 fatcat:22m6ckheivcgbmevpldl2t3itm

Priority, Network and Energy-aware Placement of IoT-based Application Services in Fog-Cloud Environments

Sadoon Azizi, Hiwa Omer, mohammad shojafar
2020 IET Communications  
To provide both QoS for IoT services and energy efficiency for fog service providers, we classify services into two categories: critical services and normal ones.  ...  For critical services, we propose MinRes, which aims to minimise response time, and for normal ones, we propose MinEng, whose goal is reducing the energy consumption of fog environment.  ...  model: In our model, the response time of service S i is defined as the time interval between the moment an IoT device sends the service request and the moment it receives that request.  ... 
doi:10.1049/iet-com.2020.0007 fatcat:wrwhofkaozajrbkal53xvrlcie

Microservices-based IoT Application Placement within Heterogeneous and Resource Constrained Fog Computing Environments

Samodha Pallewatta, Vassilis Kostakos, Rajkumar Buyya
2019 Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing - UCC'19  
Fog computing paradigm has created innovation opportunities within Internet of Things (IoT) domain by extending cloud services to the edge of the network.  ...  In this paper, we propose a decentralized microservices-based IoT application placement policy for heterogeneous and resource constrained Fog environments.  ...  ACKNOWLEDGMENTS We thank Redowan Mahmud, Mohammad Goudarzi and anonymous reviewers for their valuable comments and suggestions on improving this paper.  ... 
doi:10.1145/3344341.3368800 dblp:conf/ucc/PallewattaKB19 fatcat:mqr7lkhqyrb6tlq246rztyrprq

Fog Orchestration for Internet of Things Services

Zhenyu Wen, Renyu Yang, Peter Garraghan, Tao Lin, Jie Xu, Michael Rovatsos
2017 IEEE Internet Computing  
This article provides an overview of the core issues, challenges and future research directions in Fog-enabled orchestration for IoT services.  ...  Complex IoT services are increasingly composed of sensors, devices, and compute resources within Fog computing infrastructures.  ...  However, the scalability of our current approach is still slightly affected by increasing numbers of components and requests, indicating that we still need to explore opportunities for incremental re-planning  ... 
doi:10.1109/mic.2017.36 fatcat:5rvkwbrvj5cb5bamhlnztrwqy4

Design a blockchain-based middleware layer in the Internet of Things Architecture

Tanweer Alam
2020 JOIV: International Journal on Informatics Visualization  
The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT.  ...  The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology.  ...  The IoT-Fog in this framework will monitor and analyse the real-time data collected from fog nodes and then taking the action. The following are the key points-1.  ... 
doi:10.30630/joiv.4.1.334 fatcat:xwsiy2ne6vh27dvb42bpkdszke

An IoT Platform-as-a-service for NFV Based – Hybrid Cloud / Fog Systems [article]

Carla Mouradian, Fereshteh Ebrahimnezhad, Yassine Jebbar, Jasmeen Kaur Ahluwalia, Seyedeh Negar Afrasiabi, Roch H. Glitho, Ashok Moghe
2020 arXiv   pre-print
In this paper, we propose a novel architecture for PaaS for hybrid cloud/fog system.  ...  Fog computing can reduce this latency by extending the traditional cloud architecture to the edge of the network and by enabling the deployment of some application components on fog nodes.  ...  The Linux built-in tool time is used again, this time to get the time required to execute the migration plan. The average latency for executing the migration plan is 36.26 sec.  ... 
arXiv:2001.07497v1 fatcat:4qspmodg3vezrnxi44jmfkofbq

A Lightweight Location-Aware Fog Framework (LAFF) for QoS in Internet of Things Paradigm

Qaisar Shaheen, Muhammad Shiraz, Muhammad Usman Hashmi, Danish Mahmood, Zhu zhiyu, Rizwan Akhtar
2020 Mobile Information Systems  
However, addressing latency and bottleneck issues for time critical applications are still challenging.  ...  However, for the reason of being far away from client devices, CC has their own limitations especially for time and resource critical applications.  ...  However, for the reason of being faraway from client devices, they have their own limitations for time critical applications.  ... 
doi:10.1155/2020/8871976 doaj:b458c4f643f542f5b43c59336f6a6c41 fatcat:bew73n2ihjcwxmqze6tfbta5be

THE FUTURE OF FOG COMPUTING IN KENYA

Rebeccah Ndungi, Bambang Sugiantoro
2021 American Journal of Computing and Engineering  
The study, titled "The Future of Fog Computing in Kenya," discusses fog computing, computing evolution, and the Internet of Things. It has layers ideal for fog networks.  ...  Fog computing extends cloud computing and helps mitigate its difficulties.  ...  Fog computing is critical here [31] . It must be able to compute and network to benefit from IoT. Cloud computing powers most IoT systems [30] . Thus, cloud-based IoT systems have many issues.  ... 
doi:10.47672/ajce.857 fatcat:v6ftsjqzhzhcfdhwysxurtuxf4

Design and Development of High-Performance Intelligent Disaster Management System in IoT Paradigm – A Novel Architecture and Review on Challenges in real time Hazards Monitoring

Sachin Chavhan, Rahul Chavhan
2021 International Journal of Engineering and Advanced Technology  
The main objective of proposed work is to overcome the limitations of disaster management with a novel design and development of IoT based platform for the application of disaster management system.  ...  A High-Performance Intelligent Disaster Management System can realize the complete disaster avoidance and reduction from satellite mission planning, data production, data acquisition, with the application  ...  Sensor network should be autonomous and an adaptive to the environment. • IoT LAN (Local Area Network) configured for building sensor network.  ... 
doi:10.35940/ijeat.c2130.0210321 fatcat:a6xqqwj5n5fr3myvkz657ycf7i

Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review [article]

Shreya Ghosh, Soumya Ghosh
2020 arXiv   pre-print
In time-critical application, where real-time response is required for emergency service-provisioning, such connectivity issues increases the latency and thus affects the overall quality of system (QoS  ...  or urban planning).  ...  At each time-instance, IoT device or end-users can request huge number of service-request, but each fog/ edge device is resource-constraint.  ... 
arXiv:2007.04193v1 fatcat:ghxpcgofpraxfhosirzfa7bzhi
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