Matrix Clustering based Migration of System Application to Microservices Architecture

A microservice architecture (MSA) style is an emerging approach which is gaining strength with the passage of time. Micro services are recommended by a number of researchers to overcome the limitations and issues encountered by usage of aging method of monolithic architecture styles. Previously the monolithic applications cannot be decomposed into smaller and different services. Monolithic styles application was the one build application. The issue resolution has the focus on lightweight independent application services in the form of sizable services, self-contained units with primary focus on maintenance, performance, scalability, and online services eliminating dependency. All quality factors have been thoroughly discussed in literature, system application migration is becoming an emerging issue with different challenges. This study is addressing the tight coupling to reducing this issue. Moreover, this literature review indicates some complex problems about the migration or conversion of system application into microservice. In architecture, dependency is a big challenge and issue in recent technology. Microservices are recommended by a number of researchers to overcome the limitations issue about how to migrate the existing system application to microservice. The need for a systematic mapping is essential in order to recap the improvement and identify the gaps and requirements for future studies. This study shows open issues first, new findings of quality attributes of microservices and then this study helps to understand the difference between previous traditional systems and microservices based systems. This research study creates awareness about system migration to microservices.

@article{Ghayyur2018,
  title     = {Matrix Clustering based Migration of System Application to Microservices Architecture},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Shahbaz Ahmed Khan Ghayyur and Abdul Razzaq and Saeed Ullah and Salman Ahmed},
  doi       = {10.14569/IJACSA.2018.090139},
  url       = {https://doi.org/10.14569/IJACSA.2018.090139}
}