Microservices architecture has gained significant traction, in part owing to its potential to
deliver scalable, robust, agile, and failure-resilient software products. Consequently, many …

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

In migrating production workloads to cloud, enterprises often face the daunting task of
evolving monolithic applications toward a microservice architecture. At IBM, we developed a …

The microservices architectural style offers many advantages such as scalability, reusability
and ease of maintainability. As such microservices has become a common architectural …

Anti-money laundering (AML) is a classical data mining problem in finance applications. As
well known, money laundering (ML) is critical to the effective operation of transnational and …

Abstract Service‐oriented architecture (SOA) has been widely used to design enterprise
applications in the past two decades. The services in SOA are becoming complex with the …

Context: Microservices constitute a modern style of building software applications as
collections of small, cohesive, and loosely coupled services, ie, modules, that are …

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 …

Microservices architecture is a new paradigm for developing a software system as a
collection of independent services that communicate via lightweight protocols. In greenfield …

Large scale software systems must be decomposed into modular units to reduce
maintenance efforts. Software Architecture Recovery (SAR) approaches have been …