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 …

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 …

Memory disaggregation has attracted great attention recently because of its benefits in
efficient memory utilization and ease of management. So far, memory disaggregation …

Distributed in-memory key-value (KV) stores are embracing the disaggregated memory (DM)
architecture for higher resource utilization. However, existing KV stores on DM employ …

With cloud providers constantly seeking the best infrastructure trade-off between
performance delivered to customers and overall energy/utilization efficiency of their data …

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and
failure-handling in data centers by physically separating hardware devices in a server …

In-memory caching systems are fundamental building blocks in cloud services. However,
due to the coupled CPU and memory on monolithic servers, existing caching systems …

As an important part of the new infrastructure, the cloud data center is develo** rapidly,
and its energy consumption problem is becoming more and more prominent. Therefore …

Disaggregated heterogeneous data centers promise higher efficiency, lower total costs of
ownership, and more flexibility for data-center operators. However, current software stacks …

To solve the issues of low resource utilization and performance bottleneck in current server-
centric data center networks (DCNs), we propose and experimentally demonstrate a …