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 …

Stateful serverless analytics can be enabled using a remote memory system for inter-task
communication, and for storing and exchanging intermediate data. However, existing …

Serverless computing is growing in popularity by virtue of its lightweight and simplicity of
management. It achieves these merits by reducing the granularity of the computing unit to …

Serverless computing frameworks allow users to launch thousands of concurrent tasks with
high elasticity and fine-grain resource billing without explicitly managing computing …

Serverless computing has emerged as a new compelling paradigm for the deployment of
applications and services. It represents an evolution of cloud programming models …

Serverless architectures organized around loosely-coupled function invocations represent
an emerging design for many applications. Recent work mostly focuses on user-facing …

Born from a need for a pure “pay-per-use” model and highly scalable platform, the
“Serverless” paradigm emerged and has the potential to become a dominant way of building …

Serverless platforms facilitate transparent resource elasticity and fine-grained billing, making
them an attractive choice for data analytics. We find that while server-centric analytics …

We present OpenLambda, a new, open-source platform for building next-generation web
services and applications in the burgeoningmodel of serverless computation. We describe …

The appeal of serverless (FaaS) has triggered a growing interest on how to use it in data-
intensive applications such as ETL, query processing, or machine learning (ML). Several …