Among the variety of applications (apps) being deployed on serverless platforms, apps such
as Machine Learning (ML) inference serving can achieve better performance from …

The deployment of ML serving applications, featuring multiple inference functions on
serverless platforms, has gained substantial popularity, leading to numerous developments …

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

Serverless computing represents an emerging paradigm within cloud computing,
characterized by the fundamental concept of enabling developers to run applications without …

This study examines the application of pre-trained machine learning models on serverless
cloud computing platforms, specifically comparing three serverless services offered by …

Wireless Industrial IoT plays a crucial role in smart factories, where many sensors are rapidly
generating task requests scheduled for timely responses. Maintaining information freshness …

Serverless computing is a new paradigm for the deployment of applications in the cloud. Its
extension to the field of Machine Learning (ML) has been a topic of research for the past few …

Due to the advantages of ease of management, high elasticity, and low prices, serverless
computing has gained more and more momentum in recent years. Serverless computing …