Smart City Gnosys
Smart city article details
| Title | Osmotic Monitoring Of Microservices Between The Edge And Cloud |
|---|---|
| ID_Doc | 41040 |
| Authors | Souza A.; Cacho N.; Noor A.; Jayaraman P.P.; Romanovsky A.; Ranjan R. |
| Year | 2019 |
| Published | 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 |
| DOI | http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2018.00129 |
| Abstract | Osmotic computing is a new IoT application programming paradigm that's driven by the significant increase in resource capacity/capability at the network edge, along with support for data transfer protocols that enable such resources to interact more seamlessly with Cloud-based services. Much of the difficulty in QoS and performance monitoring of IoT applications in an Osmotic computing environment is due to the massive scale and heterogeneity (IoT + Edge + Cloud) of computing environments. To, this end, this work presents an integrated monitoring system for monitoring IoT applications decomposed as microservices and executed in an Osmotic computing environment. A real-world smart parking IoT application is used for an experimental evaluation and for demonstrating the effectiveness of the proposed approach. Through rigorous experimental evaluation, we validate the Osmotic monitoring system ability to holistically identify variation in CPU, memory, and network latency of microservices deployed across Cloud and Edge layers. © 2018 IEEE. |
| Author Keywords | Cross-layer monitoring; Edge; QoS |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
5490  | 0.931 | 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) |
| 60611 | 0.921 | Souza A.; Wen Z.; Cacho N.; Romanovsky A.; James P.; Ranjan R. | Using Osmotic Services Composition For Dynamic Load Balancing Of Smart City Applications | Proceedings - IEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018 (2019) |
| 37487 | 0.875 | Buzachis A.; Boruta D.; Villari M.; Spillner J. | Modeling And Emulation Of An Osmotic Computing Ecosystem Using Osmotictoolkit | ACM International Conference Proceeding Series (2021) |
| 33931 | 0.856 | Absardi Z.N.; Javidan R. | Iot Traffic Management Using Deep Learning Based On Osmotic Cloud To Edge Computing | Telecommunication Systems, 87, 2 (2024) |
| 34143 | 0.856 | Szydlo T.; Szabala A.; Kordiumov N.; Siuzdak K.; Wolski L.; Alwasel K.; Habeeb F.; Ranjan R. | Iotsim-Osmosis-Res: Towards Autonomic Renewable Energy-Aware Osmotic Computing | Software - Practice and Experience, 52, 7 (2022) |
| 39661 | 0.851 | Galletta A.; Sicari C.; Celesti A.; Villari M. | Oce-Dns: An Innovative Osmotic Computing Enabled Domain Name System | Proceedings - 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021 (2021) |