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
Date:2019
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
