The monolithic server model where a server is the unit of deployment, operation, and failure
is meeting its limits in the face of several recent hardware and application trends. To improve …

This paper examines disaggregated data center architectures from the perspective of the
applications that would run on these data centers, and challenges the abstractions that have …

Traditional datacenters are designed as a collection of servers, each of which tightly couples
the resources required for computing tasks. Recent industry trends suggest a paradigm shift …

Datacenters have traditionally been architected as a collection of servers wherein each
server aggregates a fixed amount of computing, memory, storage, and communication …

Resource-disaggregated architectures have risen in popularity for large datacenters.
However, prior disaggregation systems are designed for native applications; in addition, all …

Multi-tenancy in modern datacenters is currently limited to a single latency-critical,
interactive service, running alongside one or more low-priority, best-effort jobs. This limits …

Cloud service providers improve resource utilization by co-locating latency-critical (LC)
workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat an LC …

The trend towards many-core systems comes with various issues, among them their highly
dynamic and non-predictable workloads. Hence, new paradigms for managing resources of …

The unabating growth of the memory needs of emerging datacenter applications has
exacerbated the scalability bottleneck of virtual memory. However, reducing the excessive …

Load balancing is a foundational function of datacenter infrastructures and is critical to the
performance of online services hosted in datacenters. As the demand for cloud services …