Abstract
Microservices gained the popularity for use in scalable cloud application. The application based on microservices uses intensive network communication to call other microservices or to pass on the messages to hundreds of microservices running inside the cloud/edge nodes. This study addressed the early distribution of container-based microservices and proposed two distribution strategies named as Random Distribution and Design Pattern Distribution. In random distribution approach the microservices are assigned arbitrarily to the available data centers. While in design pattern distribution the microservices are grouped together on the basis of behavioral design patterns which identifies common communication patterns among objects. The proposed solution was tested using custom built simulation environment and the results showed that the early distribution of microservices according to the design pattern of the application resulted in significant reduction of network calls to the microservices hosted at other network nodes or data centers.
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
Mell P, Grance T, et al (2011) The nist definition of cloud computing
Gong C, Liu J, Zhang Q, Chen H, Gong Z (2010) The characteristics of cloud computing. In: 2010 39th international conference on parallel processing workshops. IEEE, pp 275–279
Amaral M, Polo J, Carrera D, Mohomed I, Unuvar M, Steinder M (2015) Performance evaluation of microservices architectures using containers. In: 2015 IEEE 14th international symposium on network computing and applications. IEEE, pp 27–34
Malavalli D, Sathappan S (2015) Scalable microservice based architecture for enabling dmtf profiles. In: 2015 11th international conference on network and service management (CNSM). IEEE, pp 428–432
Newman S (2015) Building microservices: designing fine-grained systems. ”O’Reilly Media, Inc.”
Yu D, Jin Y, Zhang Y, Zheng X (2019) A survey on security issues in services communication of microservices-enabled fog applications. Concurrency Comput: Pract Experience 31(22):e4436
Juarez F, Ejarque J, Badia RM (2018) Dynamic energy-aware scheduling for parallel task-based application in cloud computing. Futur Gener Comput Syst 78:257–271
Zhang R, Zhong AM, Dong B, Tian F, Li R (2018) Container-vm-pm architecture: A novel architecture for docker container placement. In: International conference on cloud computing. Springer, pp 128–140
Lin M, Xi J, Bai W, Wu J (2019) Ant colony algorithm for multi-objective optimization of container-based microservice scheduling in cloud. IEEE Access 7:83088–83100
Lv L, Zhang Y, Li Y, Xu K, Wang D, Wang W, Li M, Cao X, Liang Q (2019) Communication-aware container placement and reassignment in large-scale internet data centers. IEEE J Sel Areas Commun 37(3):540–555
Zhou R, Li Z, Wu C (2019) An efficient online placement scheme for cloud container clusters. IEEE J Sel Areas Commun 37(5):1046–1058
Sampaio AR, Rubin J, Beschastnikh I, Rosa NS (2019) Improving microservicebased applications with runtime placement adaptation. J Internet Services Appl 10(1):1–30
Richardson C (2019) Microservices patterns: with examples in Java. Manning publications
Coplien JO (1998) Software design patterns: common questions and answers. In: The patterns handbook: techniques, strategies, and applications, vol 13, pp 311
Erl T (2008) SOA design patterns (paperback). Pearson Education
Sievert C, Parmer C, Hocking T, Chamberlain S, Ram K, Corvellec M, Despouy P (2017) Plotly: create interactive web graphics via ‘plotly. js’. R package version 4(1):110
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Saboor, A. et al. (2022). Towards Early Distribution of Container-Based Microservices in Cloud Computing Environment. In: Ibrahim, R., K. Porkumaran, Kannan, R., Mohd Nor, N., S. Prabakar (eds) International Conference on Artificial Intelligence for Smart Community. Lecture Notes in Electrical Engineering, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-16-2183-3_67
Download citation
DOI: https://doi.org/10.1007/978-981-16-2183-3_67
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2182-6
Online ISBN: 978-981-16-2183-3
eBook Packages: Computer ScienceComputer Science (R0)