Disaggregated memory (DM) is a widely discussed datacenter architecture in academia and
industry. It decouples computing and memory resources from monolithic servers into two …

Disaggregated memory (DM) has garnered increasing attention due to high resource
utilization. Fault tolerance is critical for key-value (KV) stores on DM since machine failures …

Disaggregated memory (DM) is an increasingly prevalent architecture with high resource
utilization. It separates computing and memory resources into two pools and interconnects …

Disaggregated memory (DM) separates compute and memory resources to build a huge
memory pool. Erasure coding (EC) is expected to provide fault tolerance in DM with low …

Caches at CPU nodes in disaggregated memory architectures amortize the high data
access latency over the network. However, such caches are fundamentally unable to …

Cloud-native data warehouses have revolutionized data analysis by enabling elasticity, high
availability and lower costs. And the increasing popularity of artificial intelligence (AI) drives …

In modern datacenters, memory disaggregation un-packs monolithic servers to build
independent network-connected compute and memory pools, greatly improving resource uti …

In content delivery networks (CDN) and edge caching, efficient cache replacement
strategies are essential to reduce latency and enhance hit ratios. This study introduces …

Abstract Machine learning has evolved significantly recently and has penetrated every
aspect of science, technology, and daily life. As application prediction demands higher …

Resource disaggregation proposes a next-generation architecture for data center resources.
System components like compute, memory, storage, and accelerators are separated from …