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 …

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

Datacenters of today have maintained the same architecture for decades. The building block
of the datacenter remains the server, which tightly couples the necessary compute …

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 …

Workload co-location has become the de-facto approach for hosting applications in Cloud
environments, leading, however, to interference and fragmentation in shared resources of …

Over-committing computing resources is a widely adopted strategy for increased cluster
utilization in Infrastructure as a Service (IaaS) cloud data centers. A potential consequence …

Disaggregated memory has been gaining significant traction as a promising solution for
scaling memory capacity and better utilizing memory resources in data centers. However, a …

Memory-intensive applications, such as in-memory databases, caching systems, and key-
value stores, are increasingly demanding larger main memory to fit their working sets …

Tapping into secondary memory resources, ie, far memory (FM), has shown huge potential
to improve the cost-efficiency of data centers. Recent advances in both storage-based …

The increasingly more data-intensive workloads imposed on cloud computing are calling for
fundamental changes in the computer architecture level. The current machine-oriented …