SYSTEMS AND METHODS FOR BROKERING OPTIMIZED RESOURCE SUPPLY COSTS IN HOST CLOUD-BASED NETWORK USING PREDICTIVE WORKLOADS

摘要

Embodiments relate to systems and methods for brokering optimized resource supply costs in a host cloud-based network using predictive workloads. In aspects, a set of usage histories can store patterns for users in a host cloud-based network recording the consumption of processor, memory, storage, operating system, application, or other resources subscribed to by the user. The operator of the cloud management system hosting the workloads of one or more users can track the aggregate user histories reflecting those workloads, and analyze them in terms of different time periods over which demands for resources may intensity or relax. The cloud management system can examine those workload patterns, and generate a set of predictively re-assigned workloads to be supported by different sets of resource servers during offpeak and/or other periods. The workload realignment to different resource servers can permit the operator of the cloud management system and/or other cloud provider to realize cost savings or other benefits by procuring resources on a predictive basis.