Abstract Today, Function-as-a-Service (FaaS), as an emerging path to implementing
serverless computing paradigm, seems quite promising in responding to the growing …

In serverless computing, each function invocation is executed in a container (or a Virtual
Machine), and container cold startup results in long response latency. We observe that some …

Executing complex, memory-intensive deep learning inference services poses a major
challenge for serverless computing frameworks, which would densely deploy and maintain …

Multi-stage serverless applications, ie, workflows with many computation and I/O stages, are
becoming increasingly representative of FaaS platforms. Despite their advantages in terms …

Recent advances in deep learning (DL) have spawned various intelligent cloud services
with well-trained DL models. Nevertheless, it is nontrivial to maintain the desired end-to-end …

Although serverless computing is a popular paradigm, current serverless environments have
high overheads. Recently, it has been shown that serverless workloads frequently exhibit …

The serverless computing model has been on the rise in recent years due to a lower barrier
to entry and elastic scalability. However, our experimental evidence suggests that multiple …

HPC applications are increasingly being designed as dynamic workflows for the ease of
development and scaling. This work demonstrates how the serverless computing model can …

Serverless computing is an increasingly attractive paradigm in the cloud due to its ease of
use and fine-grained pay-for-what-you-use billing. However, serverless computing poses …

Function-as-a-Service (FaaS) has become a popular programming paradigm in Serverless
Computing. As the responsibility of resource provisioning shifts from users to cloud …