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US Patent 10263853 Dynamic optimization of simulation resources

Patent 10263853 was granted and assigned to Rescale on April, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Rescale
Rescale
Current Assignee
Rescale
Rescale
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10263853
Date of Patent
April 16, 2019
Patent Application Number
16131386
Date Filed
September 14, 2018
Patent Citations
‌
US Patent 10075442 Methods and apparatus to grant access to cloud computing resources
‌
US Patent 10015106 Multi-cluster distributed data processing platform
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US Patent 10031783 Execution of a distributed deployment plan for a multi-tier application in a cloud infrastructure
‌
US Patent 10033595 System and method for mobile network function virtualization
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US Patent 10120907 Scaling event processing using distributed flows and map-reduce operations
Patent Citations Received
0
Patent Primary Examiner
‌
Melvin H Pollack
Patent abstract

The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment. An intermediary server platform, between the user of the simulation task and the hardware providers on which the simulation task is executed, includes a cluster service that provisions computing resources on hardware provider platforms, an application service that configures the simulation application in accordance with application-imposed constraints, an application monitoring service that monitors execution of the simulation task for computing resource change indicators (including computing resource utilization and application-specific information extracted from output files generated by the simulation application) as well as restart files, and a computing resource evaluation engine that determines when a change in computing resources is warranted.

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