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 …
Y Ge, YC Tian, ZG Yu, W Zhang - Journal of Cloud Computing, 2023 - Springer
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 …
W Cao, L Liu - IEEE Transactions on Computers, 2020 - ieeexplore.ieee.org
This article presents XMemPod, a hierarchical disaggregated memory orchestration system. XMemPod virtualizes cluster wide memory to scale large memory workloads in virtualized …
Y Sun, X Xie, F Wu, S Zhang, S Xu, Y Wu - IEEE Access, 2021 - ieeexplore.ieee.org
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 …
P Groet, J Hoozemans, A Grapentin… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …