Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

Serverless computing is growing in popularity by virtue of its lightweight and simplicity of
management. It achieves these merits by reducing the granularity of the computing unit to …

The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

Serverless computing is a new pay-per-use cloud service paradigm that automates resource
scaling for stateless functions and can potentially facilitate bursty machine learning serving …

The appeal of serverless (FaaS) has triggered a growing interest on how to use it in data-
intensive applications such as ETL, query processing, or machine learning (ML). Several …

Federated learning (FL) has been widely adopted to train machine learning models over
massive data in edge computing. However, machine learning faces critical challenges, eg …

The emerging serverless computing paradigm has attracted attention from both academia
and industry. This paradigm brings benefits such as less operational complexity, a pay-as …

Serverless computing is an emerging cloud computing paradigm, being adopted to develop
a wide range of software applications. It allows developers to focus on the application logic …

Serverless computing is an emerging paradigm that greatly simplifies the usage of cloud
resources and suits well to many tasks. Most notably, Function-as-a-Service (FaaS) enables …

Organization of tasks as workflows are an essential feature to expand the applicability of the
serverless computing framework. Existing serverless platforms are either agnostic to function …