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Implement a Twitter like engine using the Akka actors model and support the following functionalities: Register, Tweet, Subscribe, Re-Tweet and Query specific to hashtags and mentions. Also have to develop a client simulator for generating the requests and subscribers are distributed based on Zipf distribution model.
A smart caching system that combines traditional strategies (LRU, LFU, MFU) with machine learning to approximate Belady’s optimal replacement policy. This project generates skewed access patterns, labels them using optimal logic, trains multiple ML models, and integrates the best into a custom predictive cache.