Emerging NVM: A survey on architectural integration and research challenges

J Boukhobza, S Rubini, R Chen, Z Shao - ACM Transactions on Design …, 2017 - dl.acm.org
There has been a surge of interest in Non-Volatile Memory (NVM) in recent years. With
many advantages, such as density and power consumption, NVM is carving out a place in …

Serverless Cloud Computing: State of the Art and Challenges

V Lannurien, L D'orazio, O Barais… - … Computing: Principles and …, 2023 - Springer
The serverless model represents a paradigm shift in the cloud: as opposed to traditional
cloud computing service models, serverless customers do not reserve hardware resources …

Secret Spilling Drive: Leaking User Behavior through SSD Contention

J Juffinger, F Rauscher… - Network and …, 2025 - graz.elsevierpure.com
Covert channels and side channels bypass architectural security boundaries. Numerous
works have studied covert channels and side channels in software and hardware. Thus …

Study on the SiO2 Wet-Etching Mechanism Using γ-Ureidopropyltriethoxysilane as an Inhibitor for 3D NAND Fabrication

Z Zhou, S Han, Y Wu, T Hang, H Ling… - ACS Applied …, 2024 - ACS Publications
The SiO2 layers, as the dielectric in the multistack storage cells of 3D NAND, are
detrimentally dissolved by phosphoric acid (PA) during the selective Si3N4 etching. The …

Multi-objective optimization of data placement in a storage-as-a-service federated cloud

A Chikhaoui, L Lemarchand, K Boukhalfa… - ACM Transactions on …, 2021 - dl.acm.org
Cloud federation enables service providers to collaborate to provide better services to
customers. For cloud storage services, optimizing customer object placement for a member …

Accelerating random forest on memory-constrained devices through data storage optimization

C Slimani, CF Wu, S Rubini, YH Chang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Random forests is a widely used classification algorithm. It consists of a set of decision trees
each of which is a classifier built on the basis of a random subset of the training data-set. In …

Investigating machine learning algorithms for modeling ssd i/o performance for container-based virtualization

JE Dartois, J Boukhobza, A Knefati… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
One of the cornerstones of the cloud provider business is to reduce hardware resources cost
by maximizing their utilization. This is done through smartly sharing processor, memory …

EZIOTracer: unifying kernel and user space I/O tracing for data-intensive applications

MI Naas, F Trahay, A Colin, P Olivier, S Rubini… - Proceedings of the …, 2021 - dl.acm.org
Tracing is a popular method for evaluating, investigating, and modeling the performance of
today's storage systems. Tracing has become crucial with the increase in complexity of …

Predicting file lifetimes for data placement in multi-tiered storage systems for HPC

L Thomas, S Gougeaud, S Rubini, P Deniel… - Proceedings of the …, 2021 - dl.acm.org
The emergence of Exascale machines in HPC will have the foreseen consequence of
putting more pressure on the storage systems in place, not only in terms of capacity but also …

Evaluation of low-frequency noise in MOSFETs used as a key component in semiconductor memory devices

A Teramoto - Electronics, 2021 - mdpi.com
Methods for evaluating low-frequency noise, such as 1/f noise and random telegraph noise,
and evaluation results are described. Variability and fluctuation are critical in miniaturized …