Microservice architecture has become a driving force in enhancing the modularity and
scalability of web applications, as evidenced by the Alipay platform's operational success …

Serverless computing has emerged as a new cloud computing model which in contrast to
IoT offers unlimited and scalable access to resources. This paradigm improves resource …

Deep neural network (DNN) and machine learning (ML) models/inferences produce highly
accurate results demanding enormous computational resources. The limited capacity of end …

The emerging edge-cloud computing paradigm, comprising cloud centers and multiple
distributed edge servers, extends the computing capability from the cloud center to a range …

An effective auto-scaling framework is essential for microservices to ensure performance
stability and resource efficiency under dynamic workloads. As revealed by many prior …

Microservice applications are gaining popularity as cloud-native embraced by the IT
industry. However, they suffer from a latency problem because they intrinsically involve …

Interactive mobile augmented reality (MAR) applications such as Connected Lens are
becoming popular, which often rely on deep neural network (NN)-based video analytics …

The use of microservice architecture is gaining popularity in the development of web
applications. However, identifying the root cause of a failure can be challenging due to the …

In mobile edge computing (MEC) environment, effective microservices deployment
significantly reduces vendor costs and minimizes application latency. However, existing …

Deploying microservice instances in geo-distributed edge clouds which are located at the
network edge and in proximity to end-users can provide on-site processing, thereby …