Public cloud providers seek to meet stringent performance requirements and low hardware
cost. A key driver of performance and cost is main memory. Memory pooling promises to …

loud platforms monetize their spare capacity by renting “Spot” virtual machines (VMs) that
can be evicted in favor of higher-priority VMs. Recent work has shown that resource …

Suboptimal scheduling decisions in operating systems, networking stacks, and application
runtimes are often responsible for poor application performance, including higher latency …

To mitigate climate change, we must reduce carbon emissions from hyperscale cloud
computing. We find that cloud compute servers cause the majority of emissions in a general …

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 …

Cloud platforms run many software agents on each server node. These agents manage all
aspects of node operation, and in some cases frequently collect data and make decisions …

Cloud platforms today make efficient use of storage resources by slicing them among multi-
tenant applications on demand. However, our study discloses that the cloud storage is still …

Cloud providers often have resources that are not being fully utilized, and they may offer
them at a lower cost to make up for the reduced availability of these resources. However …

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

Memory-bound stalls account for a significant portion of CPU cycles in datacenter
workloads, which makes harvesting them to execute other useful work highly valuable …