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 …

Memory optimization kernel features, such as memory deduplication, are designed to
improve the overall efficiency of systems like datacenter servers, and they have proven to be …

Memory usage imbalance has been consistently observed in many virtualized Clouds and
production datacenters. Such temporal memory utilization variance is a major root cause for …

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 …

This article presents XMemPod, a hierarchical disaggregated memory orchestration system.
XMemPod virtualizes cluster wide memory to scale large memory workloads in virtualized …

The emergence of Mobile Edge Computing (MEC) provides a near-field tasking platform to
meet the latency requirements of the growing number of compute-intensive mobile …

This paper describes a distributed implementation of Apache Arrow that can leverage cluster-
shared load-store addressable memory that is hardware-coherent only within each node …

(English) In a typical HPC cluster system, a node is the elemental component unit of this
architecture. Memory and compute resources are tightly coupled in each node and the rigid …

This thesis studies memory sharing systematically for handling memory overload of physical
machines in over-committed cloud data centres. It develops two frameworks for instant …

This paper presents XMemPod, a hierarchical disaggregated memory orchestration system.
XMemPod virtualizes cluster wide memory to scale large memory workloads in virtualized …