Abstract
Cloud computing makes complex processing an off-premise activity by offering software- and hardware-based services using standard security protocols over the Internet. It has been seen that the cloud is not ideal for latency-sensitive applications. Thanks to the current growth of network communication and infrastructure, fog adds a computing resource delegation model between the user and the cloud. Fog aims to improve latency-sensitive applications support. Here, we propose one unified, proactive resource orchestration framework from a cloud/fog service provider perspective. The framework consists of a predictor and a resource allocator module. Users subscribe to these resources to execute their applications. The framework is modular and does not require application-specific information. A service provider can customise each module. We have presented the framework prototype by showing each module's simulated performance results using the parameters of our cloud/fog research testbed.
Original language | English |
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Title of host publication | ISCC 2023 - 28th IEEE Symposium on Computers and Communications : Computers and Communications for the Benefits of Humanity |
Number of pages | 7 |
Publisher | IEEE |
Publication date | Jul 2023 |
Pages | 259-265 |
ISBN (Print) | 9798350300482 |
ISBN (Electronic) | 9798350300482 |
DOIs | |
Publication status | Published - Jul 2023 |
Event | 28th IEEE Symposium on Computers and Communications: Computers and Communications for the Benefits of Humanity - Gammarth, Tunisia Duration: 9 Jul 2023 → 12 Jul 2023 Conference number: 28 https://ieeexplore.ieee.org/xpl/conhome/10217219/proceeding |
Conference
Conference | 28th IEEE Symposium on Computers and Communications |
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Number | 28 |
Country/Territory | Tunisia |
City | Gammarth |
Period | 09/07/2023 → 12/07/2023 |
Internet address |
Keywords
- Cloud
- Fog
- Neural network
- Prediction
- Wavelet