Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/20157
Title: A Scalable Bioinformatics Analysis Platform based on Microservices Architecture
Authors: Rajapaksa, S.
Wickramarachchi, A.
Mallawaarachchi, V.
Rasanjana, W.
Perera, I.
Meedeniya, D.
Keywords: Bioinformatics analysis
microservices architecture
enterprise applications
Issue Date: 2019
Publisher: IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka
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
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
URI: http://repository.kln.ac.lk/handle/123456789/20157
Appears in Collections:Smart computing & Systems Engineering - (SCSE - 2019)

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