Vce IP Holding Company LLC

Xerox Corporation

Emc IP Holding Company LLC

James A Ellers

Ryan Joseph Andersen

Donald Edward Norbeck, Jr

Joshua L Bonczkowski

Kuoyong Huang

Praphul Krottapalli

Henry Y Chin

Kendrick A Coleman

Frederick T Mattern

Jeffery Jon Hayward

Thaddeus W Stoner

John James Mulqueeney, Jr

Seamus Patrick Kerrigan

Sanjay Basu

Joshua C Atwell

A compliance-based application deployment system for a cloud computing environment includes a computing system that executes a service to obtain a computing node compliance level for each of multiple computing nodes configured in the cloud computing environment. When a request is received to provision an application, the service provisions the application on one of the computing nodes having a specified compliance level included in the request.

Compliance-based application deployment system and method for a cloud computing environment

A system for determining when to order computing resources includes one or more processors to receive a request to determine when to order computing resources for a computing environment, receive at least one report for the computing environment, the report detailing past usage of at least one object included in the computing environment over a period of time, compute future usage of the at least one object included in the computing environment based on estimated growth of utilization of the at least one object included in the computing environment using data in the at least one usage report, determine at least one recommended reorder point for an upgrade to the at least one object and at least one recommended upgrade for the computing environment based on the past usage, the future usage, and a time to complete and deploy the at least one recommended upgrade to the computing environment.

System and method for managing computing resource orders

Aspects of the present disclosure involve system and methods for the automatic prediction and offering of cloud computing services to end users. The disclosed systems generate a predictive cloud service offering that is presented to end users via an interface, such as a graphical-user interface. The predictive cloud services may be consumed by the end-users to support various workloads.

Systems and methods of predictive display of cloud offerings based on real-time infrastructure data configurations

A system for comparing disparate computing resource offerings receives a request to compare at least one computing resource offering for a computing environment, the request including at least one infrastructure requirement and a computing environment design topology, the request associated with a unique order identifier, transmits the request to at least one computing resource provider via at least one provider application programming interface (API), the at least one computing resource provider comprising one of an external computing resource provider and an internal computing resource provider, receives a list of at least one computing resource offering from the at least one computing resource provider, normalizes the at least one computing resource offering based on the at least one infrastructure requirement and the computing environment design, and compares the at least one computing resource offering based on the at least one infrastructure requirement and the computing environment design topology.

System and method for comparing computing resource offerings

A predictive order status system includes one or more processors to receive a request for a current order status of an order for a computing environment, the order having at least one task representing a segment of an order process for completing the order and the request associated with a unique order identifier, determine the current order status for the order for the computing environment, the current order status comprising a simulated percentage value that is based on an amount of elapsed time since the order was placed divided by a total order process time to complete the order, determine an exception status for the order for the computing environment, the exception status being one of on track to be completed within the total order process time to complete the order, possibly at risk for being completed within the total order process time to complete the order, and at risk for being completed within the total order process time, and send a graphical user interface representation of the current order status and the exception status.

Predictive order status system and method for computing environment

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Portland, OR, United States of America

James A Ellers