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A Scalable Bioinformatics Analysis Platform based on Microservices Architecture

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dc.contributor.author Rajapaksa, S.
dc.contributor.author Wickramarachchi, A.
dc.contributor.author Mallawaarachchi, V.
dc.contributor.author Rasanjana, W.
dc.contributor.author Perera, I.
dc.contributor.author Meedeniya, D.
dc.date.accessioned 2019-05-10T06:39:23Z
dc.date.available 2019-05-10T06:39:23Z
dc.date.issued 2019
dc.identifier.citation Rajapaksa, S., Wickramarachchi, A., Mallawaarachchi, V., Rasanjana, W., Perera, I. and Meedeniya, D. (2019). A Scalable Bioinformatics Analysis Platform based on Microservices Architecture. IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka.P.70 en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/20157
dc.description.abstract With the advancement of technologies, web services play a significant role to maintain infrastructure in healthcare domain due to the increasing demand of performance. In such systems, adoption of novel technologies is necessary to increase the productivity and reduce the burden of maintenance associated with legacy systems. Microservices architecture has become prominent in deploying server-side enterprise applications by allowing maintainable functionalities. However, it is challenging to utilize microservices in the domain of bioinformatics, although it enables independent process execution and maintenance. This paper introduces the utilization of microservices architecture to build an optimized platform for bioinformatics analyses. We present a hybrid architecture that consists of different hardware platforms to execute accelerated computational services, independently. The core communication is based on an Application Programming Interface (API) gateway. Furthermore, the paper presents the evaluation of results related to the performance of the proposed solution under varying biological sequences as inputs and algorithms en_US
dc.language.iso en en_US
dc.publisher IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka en_US
dc.subject Bioinformatics analysis en_US
dc.subject microservices architecture en_US
dc.subject enterprise applications en_US
dc.title A Scalable Bioinformatics Analysis Platform based on Microservices Architecture en_US
dc.type Article en_US


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