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State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 17+ tool for cloud computing research 🎓. Examples: https://github.com/cloudsimplus/cloudsimplus-examples
The application including two separate service product-service and offer-service with two other service service-registry for service discovery and api-gateway for dynamic service routing, load balancing. No need to know java just read the documentation and understand the workflow diagram, It's well enough to understand the microservice concept.
Demo applications illustrating how to build microservices and run them outside Kubernetes with Quarkus. It shows how to integrate the Quarkus application with Consul discovery and the KV store.
The results of the simulation show that the Genetic algorithm performs well compared to First Come First Serve Algorithm, Round Robin Algorithm, and Shortest Job First algorithm.
Approximation Algorithm for the NP-Complete problem of balancing job loads on machines. Does not guarantee an optimal solution, but instead, a solution is within a factor of 1.5 of the optimal solution