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Systems and methods for benchmark based cross platform service demand prediction

Publication Type : Patents

Publisher : US10241902

Source : United States Patent and Trade mark Office Granted Patent

Campus : Amritapuri

School : Department of Computer Science and Engineering, School of Computing

Department : Computer Science

Year : 2019

Abstract : Systems and methods for benchmark based cross platform service demand prediction includes generation of performance mimicking benchmarks that require only application level profiling and provide a representative value of service demand of an application under consideration on a production platform, thereby eliminating need for actually deploying the application under consideration on a production platform. The PMBs require only a representative estimate of service demand of the application under test and can be reused to represent multiple applications. The PMBs are generated based on a skeletal benchmark corresponding to the technology stack used by the application under test and an input file generated based on application profiling that provides pre-defined lower level method calls, data flow sequences between multi-tiers of the application under test and send and receive network calls made by the application under consideration.

Cite this Research Publication : Subhasri Duttagupta, Kumar, M., Shah, D., and Nambiar, M. Karunakara, “Systems and methods for benchmark based cross platform service demand prediction”, US10241902

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