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Systems and methods for benchmark based cross platform service demand prediction

Publication Type : Patents

Publisher : Volume US20170262362A1,

Source : Volume US20170262362A1, Number US15/227,542 (2017)

Url : https://patents.google.com/patent/US20170262362A1/en

Campus : Amritapuri

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

Center : Center for Computational Engineering and Networking

Department : Computer Science, Wireless Networks and Applications (AWNA)

Year : 2017

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”, U.S. Patent US15/227,5422017.

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