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Construing Microservice Architectures: State-of-the-Art Algorithms and Research Issues

  • Amit V. NeneEmail author
  • Christina Terese Joseph
  • K. Chandrasekaran
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1027)

Abstract

Cloud Computing is one of the leading paradigms in the IT industry. Earlier, cloud applications used to be built as single monolithic applications, and are now built using the Microservices Architectural Style. Along with several advantages, the microservices architecture also introduce challenges at the infrastructural level. Five such concerns are identified and analysed in this paper. The paper presents the state-of-art in different infrastructural concerns of microservices, namely, load balancing, scheduling, energy efficiency, security and resource management of microservices. The paper also suggests some future trends and research domains in the field of microservices.

Keywords

Microservices Scheduling Load balancing Energy efficiency Security Resource provisioning 

References

  1. 1.
    Benchara, F.Z., Youssfi, M., Bouattane, O., Ouajji, H.: A New Efficient Distributed Computing Middleware based on Cloud Micro-Services for HPC 978-1-5090-5146-5/16/\({\$}\)31.00\(\copyright \)2016 IEEE (2016)Google Scholar
  2. 2.
    Yin, J., Ali, R., Li, L., Ma, W., Ali, A.: Edge Network Model Based on Double Dimension 978-1-5386-4649-6/18/\({\$}\)31.00\(\copyright \)2018 IEEE (2018)Google Scholar
  3. 3.
    Lloyd, W., Ramesh, S., Chinthalapati, S., Ly, L., Pallickara, S.: Serverless computing: an investigation of factors influencing microservice performance. In: 2018 IEEE International Conference on Cloud Engineering (2018)Google Scholar
  4. 4.
    Bhamare, D., Samaka, M., Erbad, A., Jain, R., Gupta, L., Chan, H.A.: Multi-objective scheduling of micro-services for optimal service function chains. In: IEEE ICC 2017 SAC Symposium Cloud Communications and Networking Track (2017)Google Scholar
  5. 5.
    Filip, I.-D., Pop, F., Serbanescu, C., Choi, C.: Microservices scheduling model over heterogeneous cloud-edge environments as support for IoT applications. IEEE Internet Things J.  https://doi.org/10.1109/JIOT.2018.2792940CrossRefGoogle Scholar
  6. 6.
    Xu, M., Dastjerdi, A.V., Buyya, R.: Energy efficient scheduling of cloud application components with brownout. IEEE Trans. Sustain. Comput. 1(2), 40–53 (2016)CrossRefGoogle Scholar
  7. 7.
    Ruiu, P., Scionti, A., Nider, J., Rapoport, M.: Workload management for power efficiency in heterogeneous data centers. In: 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (2016)Google Scholar
  8. 8.
    Sun, Y., Nanda, S., Jaeger, T.: Security-as-a-service for microservices-based cloud applications. In: 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (2015)Google Scholar
  9. 9.
    Callegati, F., Giallorenzo, S., Melis, A., Prandini, M.: Data security issues in MaaS-enabling platforms. In: 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI) (2016)Google Scholar
  10. 10.
    Esposito, C., Castiglione, A., Tudorica, C.-A., Pop, F.: Security and privacy for cloud-based data management in the health network service chain: a microservice approach. IEEE Commun. Mag. 55(9), 102–108 (2017)CrossRefGoogle Scholar
  11. 11.
    Yarygina, T., Bagge, A.H.: Overcoming security challenges in microservice architectures. In: 2018 IEEE Symposium on Service-Oriented System Engineering (2018)Google Scholar
  12. 12.
    Garg, S.K., Lakshmi, J.: Workload Performance and Interference on Containers 978-1-5386-0435-9/17/\({\$}\)31.00\(\copyright \)2017 IEEE (2017)Google Scholar
  13. 13.
    Nikol, G., Träger, M., Harrer, S., Wirtz, G.: Service-oriented Multi-tenancy (SO-MT): enabling multi-tenancy for existing service composition engines with docker. In: 2016 IEEE Symposium on Service-Oriented System Engineering (2016)Google Scholar
  14. 14.
    Zhang, H., Ma, H., Fu, G., Yang, X., Jiang, Z., Gao, Y.: Container based video surveillance cloud service with fine-grained resource provisioning. In: 2016 IEEE 9th International Conference on Cloud Computing (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Amit V. Nene
    • 1
    Email author
  • Christina Terese Joseph
    • 1
  • K. Chandrasekaran
    • 1
  1. 1.Department of Computer Science and EngineeringNational Institute of TechnologySurathkalIndia

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