Abstract: A computer system determines an optimal hardware system environment for a given set of workloads by allocating functionality from each workload to logical partitions, where each logical partition includes resource demands, assigning a priority weight factor to each resource demand, configuring potential hardware system environments, where each potential hardware system environment provides resource capacities, and computing a weighted sum of least squares metric for each potential hardware system environment.

Abstract: An apparatus is provided for modeling queuing systems with highly variable traffic arrival rates. The apparatus includes means to associate a value with a pattern of highly variable arrival rates that is simple and intuitive, and a means to accurately model queuing delays in systems that are characterized by bursts of arrival activity. The queuing delay is determined by a sum of queuing delays after first applying a weighting factor to the queuing delay based upon a random arrival rate, and a different weighting factor to the queuing delay based upon a bursty variable arrival rate. The weighting factors are variants of the server utilization. The model facilitates specification of server characteristics and configurations to meet response time metrics.

Abstract: An apparatus, system, and method are disclosed for controlling a processing system. The apparatus to control a processing system is provided with a plurality of modules configured to functionally execute the necessary steps of controlling a processing system. These modules in the described embodiments include a data acquisition module that acquires performance data for a processing system, a data analysis module that calculates the slope between adjacent data points, a data normalization module that normalizes the data and computes a second order difference between the calculated slopes, a performance analysis module that determines the performance value that corresponds to the maximum calculated slope, a performance comparison module that sets a preferred performance threshold, and a performance control module that controls the processing system to achieve the preferred performance threshold.

Abstract: The present invention discloses a method, system and article of manufacture for autonomic identification of an optimum hardware configuration for a Web infrastructure. A plurality of performance objectives and a plurality of best practice rules for the Web infrastructure are established first. Then, a search space and a current configuration performance index within the search space are established. Next, a database of available hardware models is searched for a best-fit configuration based on the established plurality of best practice rules and the established current configuration performance index. The performance data of the found best-fit configuration is calculated using a performance simulator and then compared to the established plurality of performance objectives. If the calculated performance data meet the established plurality of performance objectives, then the best-fit configuration is designated as the optimum hardware configuration.

Abstract: A computer system determines an optimal hardware system environment for a given set of workloads by allocating functionality from each workload to logical partitions, where each logical partition includes resource demands, assigning a priority weight factor to each resource demand, configuring potential hardware system environments, where each potential hardware system environment provides resource capacities, and computing a weighted sum of least squares metric for each potential hardware system environment.

Abstract: An apparatus, system, and method are disclosed for controlling a processing system. The apparatus to control a processing system is provided with a plurality of modules configured to functionally execute the necessary steps of controlling a processing system. These modules in the described embodiments include a data acquisition module that acquires performance data for a processing system, a data analysis module that calculates the slope between adjacent data points, a data normalization module that normalizes the data and computes a second order difference between the calculated slopes, a performance analysis module that determines the performance value that corresponds to the maximum calculated slope, a performance comparison module that sets a preferred performance threshold, and a performance control module that controls the processing system to achieve the preferred performance threshold.