International Business Machines Corporation

Richard A Locke

Brian M O'Connell

Aaron K Baughman

Brian James Snitzer

Keith R Walker

Derek Wayne Botti

Leon H Cash, Jr

Richard J Bogdany

Robert E Garza

Christopher N Dodson

Shyam Manohar

An approach for forecasting demand. The approach includes a method that includes receiving one or more variables associated with an event. The method further includes generating, by at least one computing device, a model to forecast future demand based on the one or more variables. The method further includes determining, by the at least one computing device, a load to provision one or more servers to meet the future demand. The load is based on the model.

Forecasting computer resources demand

An approach for allocating information technology (IT) resources in a networked computing environment (e.g., a cloud computing environment) based on physical location mapping is provided. Specifically, an IT allocation system assigns resources to a specific cloud pool based on the physical location of the resources. By mapping a given physical location (e.g., a defined region of a grid defining a datacenter) to a specific pool, and by enabling the tracking of a resource to a location within the datacenter, the approach can automatically assign a resource to a cloud pool based upon its physical location. Thus, the IT allocation system provides additional pool elasticity while easing the management burden.

Allocation of resources in a networked computing environment based on physical location mapping

Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Dynamic network monitoring

A future event that is likely to occur in a production SDI at a future time is forecasted by analyzing operational data from the production SDI. Using a repository of correlation records, a set of configurations is forecasted likely to change in response to the future event. Corresponding to a configuration from the forecasted set of configurations, an instruction is constructed for a testing SDI. The testing SDI is caused by the instruction to initialize a test VM in the testing SDI, where the test VM is specifically configured to test a change in the configuration from the forecasted set of configurations, and where the test VM is ready to test the change when the future event occurs at the future time.

Rapid testing of configuration changes in software defined infrastructure

In a method for automatically navigating potential websites for predictive browsing based on user activities along with efficiency of verifying content updates, a Uniform Resource Locator (URL) of websites and its associated attributes that a user visits can be recorded and stored in a storage engine. The potential sites can be predicted by a predictive engine component based upon a past browsing history and various environmental factors that are recorded in the storage engine. A dynamic content detection engine component examines each potential websites and detects if the site has been updated. The predictive engine component enables the user to navigate to the potential websites thereby permitting faster website browsing.

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Cary, NC, United States of America

Richard A Locke