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 …

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 …

When deploying microservices in production clusters, it is critical to automatically scale
containers to improve cluster utilization and ensure service level agreements (SLA) …

Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …

The availability of vast video collections and the accuracy of ML models has generated
significant interest in video analytics systems. Since naively processing all frames using …

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 …

Graphics Processing Units (GPUs) unlock emerging use cases like large language models
and autonomous driving. They process a large amount of sensitive data, where security is of …

Advances in deep learning (DL) have prompted the development of cloud-hosted DL-based
media applications that process video and audio streams in real-time. Such applications …

This paper presents a solution to the challenge of mitigating carbon emissions from hosting
large-scale machine learning (ML) inference services. ML inference is critical to modern …

Serverless computing (FaaS) has been extensively utilized for deep learning (DL) inference
due to the ease of deployment and pay-per-use benefits. However, existing FaaS platforms …