Systems and methods for management of cloud computing resources for information systems
A computing resource and resource management technology, applied in systems and fields for managing cloud computing resources used in information systems, can solve the problems of underutilized resources and high costs of ERP systems
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example 1
[0053]In an exemplary dynamic provisioning system, a user logs into a web interface presented by the dynamic configuration system and selects a product from a standard catalog of products presented to the user. An example could be a medium-sized information system with up to 50 named users. The user is also presented with additional ancillary applications for making selections on the electronic interface, such as computing resources for a payroll tax system or A / P invoice scanning. The dynamic provisioning system then presents user interfaces that will present details about the new system's destination, such as one customized by the service provider, AWS (Amazon), Microsoft Azure, or even the user's internal data center data center. When all selections have been made, the dynamic provisioning system retrieves the computing resource bundle corresponding to the user's selection from the product catalog. These packages describe what needs to be done to complete the provisioning...
example 2
[0055] One size does not fit all clients' ERP needs. Type of business, number of users, database size, number of transactions, complexity of batch requirements, seasonality of business, etc. can all affect finding the right size for the different parts of the ERP system. The ERP system must be properly sized to take into account the ERP system's "peak usage" periods. For example, a customer's "peak usage" periods could include month-end closing, the holiday shopping season, annual benefit enrollment, semi-monthly payroll (employees check payslips), etc. Typically, the system is sized for that peak usage + some extra safety headroom. This operation is suboptimal because potentially costly resources may be idle for long periods of time.
[0056] Figure 4 is a transaction heat map 400 developed to identify patterns of high usage of certain computing resources by clients, which shows on a computer screen, through a user interface, the number of transactions occurring in a 24-h...
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