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Proof-of-concept implementation of a rule-based matchmaker. The matchmaking library (matchmaker.py) implements both iterative combinatorial matchmaking and recursive matchmaking between a set of application parts (e.g. components, microservices) to be deployed to a set of resources. The matchmaking adheres to propagation, deployment, accumulation and skipping rules. The synthetic generator (generator.py) generates sets of application parts, resources and rules and can be used to benchmark the matchmaking performance.
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Rule-based matchmaker for cloud/fog continuums and osmotic computing
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