MULTI-CRITERIA ADAPTIVE SCHEDULING METHOD FOR A MARKET-ORIENTED HYBRID CLOUD INFRASTRUCTURE

摘要

Some embodiments are directed to a computing scheduler for a market-oriented hybrid cloud infrastructure composed of private and public machines and wherein services specified in a contract, comprising the steps of: predicting the workload of requests of services, sampling the service workload by dividing the day into slots of a finished period of time, the period of a slot being a parameter; deducting a pool of virtual machines (VMs) from the sampled service workload for a day; assigning the service requests to the pool of VMs according to each slot of the day; initializing, for a slot k, a population of VMs assignments; applying a genetic algorithm to compute the solutions of VMs scheduling for each slot; storing the solutions in a Pareto archive; selecting a solution according to a chosen policy; saving the current state; repeating the operations until all the slots of a day have been processed.