Pre-Distribution of Microservices Among Containers in Cloud Environment

Cloud Computing is an ever evolving paradigm. The cloud services widely shifted from monoliths to microservices. Microservices gained the popularity for use in scalable cloud application. The usage of microservices involved intensive network communication to call number of interdependent microservices running inside the cloud/edge nodes.This study address the pre-distribution strategies of containerbased microservices and propose 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. The achieved results showed that the early distribution of microservices according to the design pattern of the application resulted in significant reduction of network calls tothe microservices hosted at other network nodes or data centers.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-17
DOI
https://doi.org/10.5281/zenodo.14510720
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

Pre-Distribution of Microservices Among Containers in Cloud Environment

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Pre-Distribution of Microservices Among Containers in Cloud Environment

article en

Abstract

Cloud Computing is an ever evolving paradigm. The cloud services widely shifted from monoliths to microservices. Microservices gained the popularity for use in scalable cloud application. The usage of microservices involved intensive network communication to call number of interdependent microservices running inside the cloud/edge nodes.This study address the pre-distribution strategies of containerbased microservices and propose 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. The achieved results showed that the early distribution of microservices according to the design pattern of the application resulted in significant reduction of network calls tothe microservices hosted at other network nodes or data centers.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Software System Performance and Reliability
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