Machine learning inference is becoming a core building block for interactive web
applications. As a result, the underlying model serving systems on which these applications …

We present ghOSt, our infrastructure for delegating kernel scheduling decisions to
userspace code. ghOSt is designed to support the rapidly evolving needs of our data center …

Prior work has used power capping to shave rare power peaks and add more servers to a
datacenter, thereby oversubscribing its resources and lowering capital costs. This works well …

Serverless computing allows customers to submit their jobs to the cloud for execution, with
the resource provisioning being taken care of by the cloud provider. Serverless functions are …

Despite several calls from the community for improving the sustainability of computing,
sufficient progress is yet to be made on one of the key prerequisites of sustainable …

Energy consumption in cloud data centers has become an increasingly important contributor
to greenhouse gas emissions and operation costs. To reduce energy-related costs and …

This paper explores a novel server observability approach using eBPF (extended Berkeley
Packet Filter) for detailed request-level performance metrics of data center latency-sensitive …

Adoption of renewable energy in power grids introduces stability challenges in regulating
the operation frequency of the electricity grid. Thus, electrical grid operators call for …

Managing the performance of online web services in cloud data centers while optimizing
resource allocation and power consumption is a multifaceted challenge. Often, resource and …

The growing demand for memory systems with larger capacities and faster data transfer
speeds has driven progress in the widespread adoption of multi-socket machines and …