Predictive asset optimization for computer resources
Abstract:
Computer-implemented systems and methods forecast network resource and/or infrastructure needs for an enterprise computer system that employs network servers to host resources that are requested by network users. Based on the forecasts, the network resources can be scaled or provisioned accordingly. The state of the network servers can be dynamically adjusted to meet the request needs of the users while reducing excess capacity. The forecasting techniques of the present invention are also applicable to cloud computing environments, Based on the forecasts, the cloud server pool can be scaled dynamically, so that the system's scale satisfies the changing requests and avoids wasting resources when the system is under low load.
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