Smart City Gnosys

Smart city article details

Title	Using Osmotic Services Composition For Dynamic Load Balancing Of Smart City Applications
ID_Doc	60611
Authors	Souza A.; Wen Z.; Cacho N.; Romanovsky A.; James P.; Ranjan R.
Year	2019
Published	Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018
DOI	http://dx.doi.org/10.1109/SOCA.2018.00029
Abstract	Edge computing takes computation away from the Cloud closer to the physical world. Therefore, it reduces the cost of communication bandwidth between IoT devices and the Cloud. However, Edge computing imposes certain limitations in computation power because due to poor hardware capacity of the devices. This restriction may significantly affect the performance of the deployed applications, especially Smart City applications. This limitations also could be aggravated by unpredictable human behaviors wich will easily make the Edge computation node overloaded. Osmotic computing is a new IoT application programming paradigm that provides an opportunity to balance the workload between Edge and Cloud therefore to overcome the load imbalance problem of Smart City applications. To this end, we propose an Osmotic Execution Framework that leverages state-of-the-art microservices techniques to deploy and execute a Smart City application in a distributed environment including Edge and Cloud. Finally, we evaluate load balancing through latency time analysis of our framework with a real-world smart parking application. © 2018 IEEE.
Author Keywords	Microservices; Osmotic computing; Scalability; Services framework

Similar Articles

Id	Similarity	Authors	Title	Published
41040	0.921	Souza A.; Cacho N.; Noor A.; Jayaraman P.P.; Romanovsky A.; Ranjan R.	Osmotic Monitoring Of Microservices Between The Edge And Cloud	Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 (2019)
5490	0.907	Neha B.; Panda S.K.; Sahu P.K.; Sahoo K.S.; Gandomi A.H.	A Systematic Review On Osmotic Computing	ACM Transactions on Internet of Things, 3, 2 (2022)
8899	0.889	Carlini E.; Carnevale L.; Coppola M.; Dazzi P.; Mencagli G.; Talia D.; Villari M.	An Osmotic Ecosystem For Data Streaming Applications In Smart Cities	FRAME 2021 - Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge (2021)
3194	0.883	Fazio M.; Ranjan R.; Girolami M.; Taheri J.; Dustdar S.; Villari M.	A Note On The Convergence Of Iot, Edge, And Cloud Computing In Smart Cities	IEEE Cloud Computing, 5, 5 (2018)
4114	0.881	Mahdi R.M.; Hassan H.J.; Abdulsaheb G.M.	A Review Load Balancing Algorithms In Fog Computing	BIO Web of Conferences, 97 (2024)
33931	0.875	Absardi Z.N.; Javidan R.	Iot Traffic Management Using Deep Learning Based On Osmotic Cloud To Edge Computing	Telecommunication Systems, 87, 2 (2024)
20661	0.873	Beraldi R.; Canali C.; Lancellotti R.; Mattia G.P.	Distributed Load Balancing For Heterogeneous Fog Computing Infrastructures In Smart Cities	Pervasive and Mobile Computing, 67 (2020)
21768	0.873	Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S.	Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban Environments	Journal of Information Systems Engineering and Management, 10 (2025)
4182	0.87	Kumar S.; Singh P.; Singh A.	A Review Of Optimized Computational Strategies For Iot: Cloud, Fog, And Edge Computing Approaches	Proceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 (2025)
26795	0.869	Cheng, B; Solmaz, G; Cirillo, F; Kovacs, E; Terasawa, K; Kitazawa, A	Fogflow: Easy Programming Of Iot Services Over Cloud And Edges For Smart Cities	IEEE INTERNET OF THINGS JOURNAL, 5, 2 (2018)