When deploying microservices in production clusters, it is critical to automatically scale
containers to improve cluster utilization and ensure service level agreements (SLA) …

Deploying microservice instances on the edge device close to end users can provide on-site
processing thus reducing request response time. Each microservice has multiple instances …

User-facing applications often experience excessive loads and are shifting towards the
microservice architecture. To fully utilize heterogeneous resources, current datacenters have …

Microservices and monolithic systems are two prevalent architectural approaches in
software development. This study provides a complete review and analysis of the key …

Current microservice applications always meet with load and call graph dynamics. These
dynamics can easily lead to inappropriate resource allocation for microservices, and further …

Building a scalable system has been found to be an even greater challenge than developing
software in general, due to the complexity and otherwise involved in its development …

Microservice applications are made of many interacting microservices that can leverage
different cloud servers to distribute the computational load horizontally, so these applications …

The containerized microservices architecture is being increasingly used to build complex
applications. To minimize operating costs, service providers typically rely on an auto-scaler …

Reducing resource waste while maintaining end-to-end latency service-level objective
(SLO) by simultaneously managing CPU bandwidth, memory allocation, and pod number of …

Serverless computing, also known as Function-as-a-Service (FaaS), is a significant
development trend in modern software system architecture. The workflow composition of …