With the sustained technological advances in machine learning (ML) and the availability of
massive datasets recently, tech companies are deploying large ML-as-a-Service (MLaaS) …

Data processing and analytics are fundamental and pervasive. Algorithms play a vital role in
data processing and analytics where many algorithm designs have incorporated heuristics …

While recent deep learning workload schedulers exhibit excellent performance, it is arduous
to deploy them in practice due to some substantial defects, including inflexible intrusive …

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 …

This paper introduces Golgi, a novel scheduling system designed for serverless functions,
with the goal of minimizing resource provisioning costs while meeting the function latency …

Due to the high mobility of vehicles, service migration is inevitable in vehicular edge
computing (VEC) networks. Frequent service migrations incur prohibitive migration cost …

Microservice architecture is a design philosophy that achieves decoupling by decomposing
a monolithic application into multiple lightweight microservices. Meanwhile, edge computing …

Web companies typically run latency-critical long-running services and resource-intensive,
throughput-hungry batch jobs in a shared cluster for improved utilization and reduced cost …

Serverless computing automates fine-grained resource scaling and simplifies the
development and deployment of online services with stateless functions. However, it is still …

To fully utilize computing resources, cloud providers such as Google and Alibaba choose to
co-locate online services with batch processing applications in their data centers. By …