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 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, 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 (Function-as-a-Service) provides fine-grain resource sharing by
running functions (or Lambdas) in containers. Data-dependent functions are required to be …

We characterize production workloads of serverless DAGs at a major cloud provider. Our
analysis highlights two major factors that limit performance:(a) lack of efficient …

Function-as-a-Service (FaaS) offers a fine-grained resource provision model, enabling
developers to build highly elastic cloud applications. User requests are handled by a series …

Serverless computing is becoming a promising paradigm for Distributed Deep Neural
Network (DDNN) training in the cloud, as it allows users to decompose complex model …

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 …

Serverless applications are typically composed of function workflows in which multiple short-
lived functions are triggered to exchange data in response to events or state changes …