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 …

Cloud applications based on the" Functions as a Service"(FaaS) paradigm have become
very popular. Yet, due to their stateless nature, they must frequently interact with an external …

Function as a Service (FaaS) and the associated serverless computing paradigm alleviates
users from resource management and allows cloud platforms to optimize system …

Cloud function (CF) services, such as AWS Lambda, have been applied as the new
computing infrastructure in implementing analytical query engines. For bursty and sparse …

Despite significant advances in data management systems in recent decades, the
processing of big data at scale remains very challenging. While cloud computing has been …

Machine learning (ML) is an important part of modern data science applications. Data
scientists today have to manage the end-to-end ML life cycle that includes both model …

Serverless computing has gained significant popularity due to its scalability, cost-
effectiveness, and ease of deployment. With the exponential growth of data, organizations …

This paper lays out the rationale for building a completely new operating system (OS) stack.
Rather than build on a single node OS together with separate cluster schedulers, distributed …

Serverless functions provide elastic scaling and a fine-grained billing model, making
Function-as-a-Service (FaaS) an attractive programming model. However, for distributed …