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 …

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 …

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 …

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 …

Distributed training of ML models generates significant network traffic when exchanging
gradients and is sensitive to packet drops and retransmission caused by congestion when …

Censorship circumvention is often fueled by supporters out of goodwill. However, hosting
circumvention proxies can be costly, especially when they are placed in the cloud. We argue …

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 …