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 has emerged as an attractive deployment option for cloud
applications in recent times. The unique features of this computing model include rapid auto …

Serverless applications represented as DAGs have been growing in popularity. For many of
these applications, it would be useful to estimate the end-to-end (E2E) latency and to …

Serverless computing promises an efficient, low-cost compute capability in cloud
environments. However, existing solutions, epitomized by open-source platforms such 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) …

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 …

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 …

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 …

This work documents our experience of improving the scheduler in Alibaba Function
Compute, a public FaaS platform. It commences with our observation that memory and CPU …