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

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 …

Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy
their applications without the burden of managing the underlying infrastructure. However …

Serverless computing, or Function-as-a-Service (FaaS), enables a new way of building and
scaling applications by allowing users to deploy fine-grained functions while providing fully …

Serverless computing has seen rapid growth due to the ease-of-use and cost-efficiency it
provides. However, function scheduling, a critical component of serverless systems, has …

Executing complex, burst-parallel, directed acyclic graph (DAG) jobs poses a major
challenge for serverless execution frameworks, which will need to rapidly scale and …

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 …

Serverless computing greatly simplifies the use of cloud resources. In particular, Function-as-
a-Service (FaaS) platforms enable programmers to develop applications as individual …

Serverless computing has gained importance over the last decade as an exciting new field,
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …

Function-as-a-Service (FaaS) serverless computing enables a simple programming model
with almost unbounded elasticity. Unfortunately, current FaaS platforms achieve this …