AuthorsS. Mazumdar and T. Dreibholz
TitleProactive Resource Orchestration Framework for Cloud/Fog Platform
AfilliationCommunication Systems
Project(s)NorNet, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, SMIL: SimulaMet Interoperability Lab, MELODIC: Multi-cloud Execution-ware for Large-scale Optimised Data-Intensive Computing
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2023
Conference NameProceedings of the 28th IEEE Symposium on Computers and Communications (ISCC)
Publisher IEEE
Place PublishedTunis/Tunisia
KeywordsCloud, Fog, Orchestration, Prediction, Resource Allocation
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's simulated performance results using the parameters of our cloud/fog research test bed.

Citation Key ISCC2023

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