ML at the Cambridge Computer Lab
ML@CL seeks to advance the safe and reliable deployment of machine learning systems to tackle the real-world challenges.
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fbp-vs-soa
fbp-vs-soa PublicComparison of flow-based programming and service-oriented architecture for building data-driven applications
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- iFogSim Public Forked from Cloudslab/iFogSim
The iFogSimToolkit (with its new release iFogSim2) for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. In the new release Mobili Management, Microservice Management, and Dynamic Clustering mechanisms are added as new features.
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