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 …

Existing serverless computing platforms are built upon homogeneous computers, limiting the
function density and restricting serverless computing to limited scenarios. We introduce …

In FaaS workflows, a set of functions implement application logic by interacting and
exchanging data among themselves. Contemporary FaaS platforms execute each function …

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 …

Serverless computing is gaining popularity for machine learning (ML) serving workload due
to its autonomous resource scaling, easy to use and pay-per-use cost model. Existing …

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

Serverless computing is emerging as an enabling technology for elastic and low-cost AI
applications in the edge of core networks. It allows AI developers to decompose a complex …

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 …