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Optimizing application availability

  • US 9,473,347 B2
  • Filed: 01/06/2014
  • Issued: 10/18/2016
  • Est. Priority Date: 01/06/2014
  • Status: Expired due to Fees
First Claim
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1. A method comprising:

  • computing, by at least one computing device, an actual application impact based on an “

    N”

    number of failing information technology (IT) infrastructure components within an application architecture;

    determining, by the at least one computing device, a factor in likelihood of failure of the “

    N”

    number of IT infrastructure components; and

    determining, by the at least one computing device, a failure profile for the application architecture based on the actual application impact and the factor in likelihood of failure,wherein the determining the failure profile includes calculating a chance of failure average for the “

    N”

    number of failing IT infrastructure components and a product failure average for the “

    N”

    number of failing IT infrastructure components, andwherein the “

    N”

    number of failing IT infrastructure components include application components that include feed servers, web load balanced servers, and application servers,wherein the computing of the actual application impact includes analyzing a vertical application layer and calculating throughput volume in the vertical application layer, andwherein the calculating the throughput volume in the vertical application layer comprises subtracting a product of a previous layer throughput volume and a current level fail percentage from the previous layer throughput volume.

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