A probabilistic approach for obtaining an optimized number of services using weighted matrix and multidimensional scaling Md. Shamim Towhid

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dc.contributor.authorSayara, A.,
dc.contributor.authorTowhid, M.S.,
dc.contributor.authorHossain, M.S.
dc.date.accessioned2025-04-25T07:58:54Z
dc.date.available2026-07-07T10:24:31Z
dc.date.issued2017-12-22
dc.description.abstractWhile migrating from Monolith to Microservices architectural style, it is often confusing to define service boundaries. This paper describes a probabilistic technique to define the services on a Monolithic system considering three major aspects - update rate, scaling rate, and technology diversity necessary to realize each service properly. To do so, we have used the weighted matrix and Multidimensional Scaling (MDS). This technique helps to define an optimal number of services for implementing the system in the Microservices Architecture. This paper will be useful for organizations trying to migrate from Monolithic System to Microservices.
dc.identifier.citationSayara, A., Towhid, M. S., & Hossain, M. S. (2017, December). A probabilistic approach for obtaining an optimized number of services using weighted matrix and multidimensional scaling. In 2017 20th International Conference of Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
dc.identifier.otherhttp://dspace.uttarauniversity.edu.bd:8080/server/api/core/items/ac974926-acea-450a-b96d-8fe39e7aee71
dc.identifier.urihttp://dspace.uttarauniversity.edu.bd:4000/handle/123456789/401
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceUttara University Institutional Repository
dc.subjectMicroservices Architecture
dc.subjectMonolithic System
dc.subjectMultidimensional Scaling
dc.subjectWeighted Matrix
dc.titleA probabilistic approach for obtaining an optimized number of services using weighted matrix and multidimensional scaling Md. Shamim Towhid
dc.typeOther

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