Application energy efficiency can be improved by executing each application component on
the compute element that consumes the least energy while also satisfying time constraints …

Serverless computing has ushered in a transformative paradigm, with a promise to alleviate
developers from the intricacies of infrastructure management. However, current serverless …

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

The emerging serverless computing has become a captivating paradigm for deploying cloud
applications, alleviating developers' concerns about infrastructure resource management by …

With the widespread use of Internet of Things (IoT) technology, an enormous number of end
devices that request various kinds of cloud services have been connected to the Internet …

Serverless becomes popular as a novel computing paradigms for cloud native services.
However, the complexity and dynamic nature of serverless applications present significant …

Function-as-a-Service (FaaS), a form of serverless computing, allows applications to be
composed as a workflow of stateless, event-driven, short-lived functions that are deployed …

Machine Learning is increasingly crucial for predicting application performance, offering a
black-box approach that does not require a deep understanding of the application internal …

Multi-agent systems (MASs) have gained considerable attention in the field of distributed
computing due to their ability to provide technical interoperability, resource sharing and …

Abstract Cloud Function-as-a-Service (FaaS) systems offer statistical guarantees and cannot
meet the deadlines of bursty, real-time applications. To address this limitation, we propose …