Developing Self-Adaptive Microservice Systems: Challenges and Directions

TL;DR

This paper discusses the challenges in developing self-adaptive microservice systems, especially in cloud-based applications like intelligent video surveillance, and proposes future research directions leveraging existing microservice practices.

Contribution

It identifies key challenges in creating self-adaptive microservice systems and suggests new directions for addressing these challenges using current microservice technologies.

Findings

Highlights key challenges in self-adaptive microservices

Proposes future research directions in the field

Uses cloud-based video surveillance as a motivating example

Abstract

A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance application as a motivating example. It also suggests potential new directions for addressing most of the identified challenges by leveraging existing microservice practices and technologies.