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 Engineering
Center : Center for Computational Engineering and Networking
Department : Wireless Networks and Applications (AWNA), Computer Science
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.