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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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)
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)
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)
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.2018.2792940
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)
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)
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)
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)
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)
Yarygina, T., Bagge, A.H.: Overcoming security challenges in microservice architectures. In: 2018 IEEE Symposium on Service-Oriented System Engineering (2018)
Garg, S.K., Lakshmi, J.: Workload Performance and Interference on Containers 978-1-5386-0435-9/17/\({\$}\)31.00\(\copyright \)2017 IEEE (2017)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Nene, A.V., Joseph, C.T., Chandrasekaran, K. (2019). Construing Microservice Architectures: State-of-the-Art Algorithms and Research Issues. In: Uden, L., Ting, IH., Corchado, J. (eds) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, vol 1027. Springer, Cham. https://doi.org/10.1007/978-3-030-21451-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-21451-7_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-21450-0
Online ISBN: 978-3-030-21451-7
eBook Packages: Computer ScienceComputer Science (R0)