18263282. MULTI-LAYERED DATA CENTER CAPACITY FORECASTING SYSTEM simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

MULTI-LAYERED DATA CENTER CAPACITY FORECASTING SYSTEM

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Jieqiu Chen of Redmond WA (US)

Harsh Mahendra Mehta of Sammamish WA (US)

Boon Pin Yeap of Redmond WA (US)

Garet Marshall Anderson of Mount Vernon WA (US)

Dale Kenji Miyakusu of Campbell CA (US)

Vishnupriya Appiah Suresh Bapu of Sammamish WA (US)

MULTI-LAYERED DATA CENTER CAPACITY FORECASTING SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18263282 titled 'MULTI-LAYERED DATA CENTER CAPACITY FORECASTING SYSTEM

Simplified Explanation

The patent application describes a system and method for configuring a cloud service center by analyzing usage data, generating forecast models, selecting the best forecast model, and configuring the center based on the forecast.

• The system accesses usage data of resources in the cloud service center.
• The usage data is standardized through pre-processing.
• Multiple forecast models are generated based on the standardized data.
• The forecast models predict resource demand.
• A demand forecast model is selected based on ranking.
• Post-processing is applied to the selected demand forecast.
• The cloud service center is configured based on the post-processed demand forecast.

Potential Applications

This technology can be applied in various industries such as cloud computing, data centers, and IT services to optimize resource allocation and improve efficiency.

Problems Solved

1. Efficient resource management: By accurately predicting resource demand, the system helps in optimizing resource allocation and avoiding under or over-provisioning. 2. Cost reduction: By configuring the cloud service center based on demand forecasts, unnecessary costs can be minimized.

Benefits

1. Improved performance: By configuring resources based on accurate demand forecasts, the cloud service center can operate more efficiently. 2. Cost savings: Avoiding over-provisioning of resources leads to cost savings for the organization.

Potential Commercial Applications

"Optimizing Resource Allocation in Cloud Service Centers"

Possible Prior Art

One possible prior art could be existing cloud service management systems that use historical data to predict resource demand, but may not include the pre-processing and post-processing operations described in this patent application.

How does the system handle real-time changes in resource demand?

The article does not mention how the system adapts to sudden changes in resource demand and whether it can provide real-time adjustments to resource allocation.

What security measures are in place to protect the usage data of the cloud service center?

The article does not address the security protocols in place to safeguard the sensitive usage data accessed by the system.

Original Abstract Submitted

A system and method for configuring a cloud service center is described. The system accesses usage data of resources of the cloud service center. The usage data is standardized by applying a pre-processing operation to the usage data. The system generates a plurality of forecast models based on the standardized usage data. The forecast models predict a demand of the resources of the cloud service center. The system selects a demand forecast model from the forecast models based on a ranking of the forecast models. The system applies a postprocessing operation to the demand forecast that is generated based on the selected demand forecast model. The system configures the cloud service center based on the post-processed demand forecast.