@misc{17171,
  keywords = {Cloud, Prediction, Fog, Resource Allocation, Orchestration},
  author = {Somnath Mazumdar and Thomas Dreibholz},
  title = {Proactive Resource Orchestration Framework for Cloud/Fog Platform},
  abstract = {Cloud computing makes complex computing 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 layer 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 does not require application-specific information and is modular, meaning a service provider can customise each module. We have presented the framework prototype by showing each module{\textquoteright}s simulated performance results using the parameters of our cloud/fog research test bed.},
  year = {2023},
  journal = {Proceedings of the 28th IEEE Symposium on Computers and Communications (ISCC)},
  publisher = {IEEE},
  address = {Tunis/Tunisia},
}