Micro-IDE: A tool platform for generating efficient deployment alternatives based on microservices

Creative Commons License

Aksakalli I. K., Celik T., CAN A. B., Tekinerdogan B.

SOFTWARE-PRACTICE & EXPERIENCE, cilt.52, sa.7, ss.1756-1782, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52 Sayı: 7
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1002/spe.3088
  • Dergi Adı: SOFTWARE-PRACTICE & EXPERIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1756-1782
  • Anahtar Kelimeler: automated deployment of microservices, cloud computing, microservice architectures, optimization algorithms, tool platform for deploying microservices
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Microservice architecture (MSA) is a paradigm to design and develop scalable distributed applications using loosely coupled, highly cohesive components that can be deployed independently. The applications that realize the MSA may contain thousands of services that together form the overall system. Microservices interact with each other by producing and consuming data. Deploying frequently communicating services to the same physical resource would reduce network utilization, which is vital for reducing costs and improving scalability. Since the physical resources have limited capacity, it is not always possible to deploy communicating services to the same resource. Therefore, automated efficient deployment alternatives need to be generated for MSA in the design phase. To address this problem, we proposed an algorithmic approach to generate efficient microservice deployment configurations to available cloud resources in our previous study. In this study, a tool (Micro-IDE) has been proposed to realize and evaluate this approach. The Micro-IDE tool has been validated using a case study inspired by the Spotify application.