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1.发明授权公开(公告)号：US09772835B1
公开(公告)日：2017-09-26
申请号：US13800783
申请日：2013-03-13
Applicant: Amazon Technologies, Inc.
Inventor： Tyson Christopher Trautmann , Jeremy Boynes , Diwakar Chakravarthy , Jeenandra Kumar Uttamchand , Yi-Tao Wang , Soo Young Yang
Abstract: Program code, such the program code of an application program, can be modified to permit the program code to execute in a multi-tenant execution environment. For example, program code might be modified at compile time, run time, or at another time, in order to enable the program code to properly operate in an execution environment in which applications might be simultaneously executed in process by multiple tenants. Program code might also be modified at run time to enable the program code to execute in a distributed fashion in a distributed computing environment. For example, portions of the program code might be configured at run time to execute in different instances of an execution environment. The program code might be modified at run time to enable the program code to properly execute in multiple instances of the execution environment.
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公开(公告)号：US09692811B1
公开(公告)日：2017-06-27
申请号：US14286539
申请日：2014-05-23
Applicant: Amazon Technologies, Inc.
Inventor： Brian Jaffery Tajuddin , Carlos Alejandro Arguelles , Jeremy Boynes , Adam Lloyd Days , Gavin R. Jewell , Erin Harding Kraemer , Jeenandra Kumar Uttamchand , Manoj Srivastava , Tyson Christopher Trautmann , Praveen Kambam Sugavanam
Abstract: Optimization preferences are defined for optimizing execution of a distributed application. Candidate sets of application parameter values may be tested in test execution environments. Measures of performance for metrics of interest are determined based upon the execution of the distributed application using the candidate sets of application parameter values. Utility curves may be utilized to compute measures of effectiveness for metrics of interest. A multi-attribute rollup operation may utilize the computed measures of effectiveness and weights to compute a grand measure of merit (MOM) for the candidate sets of application parameter values. An optimized set of application parameter values may then be selected based upon the computed grand MOMs. The optimized set of application parameter values may be deployed to a production execution environment executing the distributed application. Production safe application parameters might also be identified and utilized to optimize execution of the distributed application in a production execution environment.
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公开(公告)号：US10666716B1
公开(公告)日：2020-05-26
申请号：US15629656
申请日：2017-06-21
Applicant: Amazon Technologies, Inc.
Inventor： Brian Jaffery Tajuddin , Carlos Alejandro Arguelles , Jeremy Boynes , Adam Lloyd Days , Gavin R. Jewell , Erin Harding Kraemer , Jeenandra Kumar Uttamchand , Manoj Srivastava , Tyson Christopher Trautmann , Praveen Kambam Sugavanam
Abstract: Optimization preferences are defined for optimizing execution of a distributed application. Candidate sets of application parameter values may be tested in test execution environments. Measures of performance for metrics of interest are determined based upon the execution of the distributed application using the candidate sets of application parameter values. Utility curves may be utilized to compute measures of effectiveness for metrics of interest. A multi-attribute rollup operation may utilize the computed measures of effectiveness and weights to compute a grand measure of merit (MOM) for the candidate sets of application parameter values. An optimized set of application parameter values may then be selected based upon the computed grand MOMs. The optimized set of application parameter values may be deployed to a production execution environment executing the distributed application. Production safe application parameters might also be identified and utilized to optimize execution of the distributed application in a production execution environment.
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