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Systems and Methods for Predicting Performance of Applications on an Internet of Things (IoT) Platform

Publication Type : Patents

Publisher : Number US15/410,178 (2018)

Source : Volume US20180081730A1, Number US15/410,178 (2018)

Url : https://patents.google.com/patent/US20180081730A1/en

Campus : Amritapuri

School : School of Engineering

Department : Computer Science and Engineering

Year : 2018

Abstract : Performance prediction systems and method of an Internet of Things IoT platform and applications includes obtaining inputs comprising one of i user requests and ii: sensor observations from sensors invoking Application Programming Interface APIs of the platform based on inputs; identifying open flow OF and closed flow CF requests of systemsconnected to the platform; identifying workload characteristics of the OF and CF requests to obtain segregated OF and segregated CF requests, and a combination of open and closed flow requests; executing performance tests with the APIs based on the workload characteristics; measuring resource utilization of the systems and computing service demands of resources from measured utilization, and user requests processed by the platform per unit time; executing the performance tests with the invoked APIs based on volume of workload characteristics pertaining to the applications; and predicting, using queuing network, performance of the applications for the volume of workload characteristics.

Cite this Research Publication : Subhasri Duttagupta, Kumar, M., and Nambiar, M. Karunakara, “Systems and Methods for Predicting Performance of Applications on an Internet of Things (IoT) Platform”, U.S. Patent US15/410,1782018.

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