User-facing services are now evolving towards the microservice architecture where a
service is built by connecting multiple microservice stages. Since the entire service is heavy …

Graph neural networks (GNNs) have achieved great success in many research areas
ranging from traffic to computer vision. With increased interest in cloud-native applications …

Multi-modal computing (M 2 C) has recently exhibited impressive accuracy improvements in
numerous autonomous artificial intelligence of things (AIoT) systems. However, this …

Lightweight container-based microservice has been widely advocated to promote the
elasticity of edge cloud. The inherent layered structure of containers offers a compelling way …

Loosely coupled and highly cohesived microservices running in containers are becoming
the new paradigm for application development. Compared with monolithic applications …

In many edge computing applications, edge devices are required to reach fault-tolerant
consensus in order to provide collaborative services in outdoor environments. In this paper …

With the demand of agile development and management, cloud applications today are
moving towards a more fine-grained microservice paradigm, where smaller and simpler …

Future applications to be supported by 6G networks are envisaged to be realized by loosely-
coupled and independent microservices. In order to achieve an optimal deployment of …

Crowdsourcing has become a popular paradigm for collecting large-scale labeled datasets
by leveraging numerous annotators. However, these annotators often provide noisy labels …

Performance analysis is of great importance for management and optimization of space-
terrestrial integrated networks (STINs). Traditional approaches to network performance …