User-facing applications often experience excessive loads and are shifting towards the
microservice architecture. To fully utilize heterogeneous resources, current datacenters have …

Current microservice applications always meet with load and call graph dynamics. These
dynamics can easily lead to inappropriate resource allocation for microservices, and further …

This paper releases and analyzes a month-long trace of 85 billion user requests and 11.9
million cold starts from Huawei's serverless cloud platform. Our analysis spans workloads …

The industry has embraced snapshotting to tackle the cold starts and efficiently manage
numerous short-lived functions for microservice-native architectures, serverless computing …

Microservice architecture is a popular technology for deploying services in cloud computing,
with benefits like loose coupling, high fault tolerance, and scalability. The heterogeneous …

Graph processing is widely used in cloud services; however, current frameworks face
challenges in efficiency and cost-effectiveness when deployed under the Infrastructure-as-a …

Cloud providers introduce features (eg, Spot VMs, Harvest VMs, and Burstable VMs) and
optimizations (eg, oversubscription, auto-scaling, power harvesting, and overclocking) to …

Today, cloud workloads are essentially opaque to the cloud platform. Typically, the only
information the platform receives is the virtual machine (VM) type and possibly a decoration …

Efficiently allocating incoming jobs to nodes in large-scale clusters can lead to substantial
improvements in both cluster utilization and job performance. In order to allocate incoming …

A production microservice application may provide multiple services, queries of a service
may have different call graphs, and a microservice may be shared across call graphs. It is …