Sas Institute Inc.

Feng Chen, Ii

Tugrul Sanli

Xiaodong Yao

Kevin L Scott

Matthew Scott Maxwell

Bingfeng Ding

Metin Balikcioglu

In one example, a system can receive configuration data indicating how resources can be combined, identify availability data indicating the total number of various resources that are available, and determine maximum-capacity data using the availability data and the configuration data. The system can also receive distribution data having probability distributions for jobs to be implemented using the resources, determine capacity valuations using the distribution data and the availability data, and determine a configuration of resources using the capacity valuations and the maximum-capacity data. Thereafter, the system can receive a job and determine that a valuation for the job exceeds a predefined threshold associated with using the configuration of resources. In response to determining that the valuation exceeds the predefined threshold, the system can assign the resources to the job in the configuration. The system can then cause the job to be performed using the configuration of resources assigned to the job.

Managing resources in a configurable computing environment

Exemplary embodiments are generally directed to methods, mediums, and systems for accounting for extensions or reductions of the period for which a resource (e.g., computer processor time, scientific apparatus, storage units, devices, etc.) is allocated. According to exemplary embodiments, allocation-based aggregated effects of extension and relinquishment are modeled. The modeled effects are used to offset allocation forecasts based on historical data. As a result, the dimensionality of the problem of incorporating in-house data is greatly reduced as compared to other techniques, and allocation forecasts can be made more accurately and efficiently.

Computer-implemented system for modeling an allocated resource

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Apex, NC, United States of America

Feng Chen, Ii