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Researchers are exploring the integration of IoT and the cloud continuum, together with AI to enhance the cost-effectiveness and efficiency of critical infrastructure (CI) systems. This integration, however, increases susceptibility of CI…

密码学与安全 · 计算机科学 2024-05-24 Lav Gupta , Guoxing Yao

Large-scale pre-training of Foundational Models (FM) constitutes a computationally intensive first phase for enabling AI across diverse scientific and societal applications. This first phase has positioned High-Performance Computing (HPC)…

分布式、并行与集群计算 · 计算机科学 2026-04-15 Dino Conciatore , Elia Oggian , Federico Da Forno , Stefano Schuppli , Jerome Tissieres , Joost VandeVondele , Maxime Martinasso

The evolution of the global scientific cyberinfrastructure (CI) has, over the last 10+ years, led to a large diversity of CI instances. While specialized, competing and alternative CI building blocks are inherent to a healthy ecosystem, it…

分布式、并行与集群计算 · 计算机科学 2012-10-12 Jarek Nabrzyski , Krzysztof Kurowski , Daniel S. Katz , Andre Merzky

This article describes experiences and lessons learned from the Trusted CI project, funded by the US National Science Foundation to serve the community as the NSF Cybersecurity Center of Excellence. Trusted CI is an effort to address…

The role of the services described in this paper is to support decisions in the Critical Infrastructure Protection (CIP) domain. Those services are perceived as the most fundamental functionalities, that will serve as a basis for the…

软件工程 · 计算机科学 2014-05-01 Michal Choras , Rafal Kozik , Rafal Renk , Witold Holubowicz

This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to reduce the implementation effort for the usage of artificial intelligence…

分布式、并行与集群计算 · 计算机科学 2020-10-15 Andreas Fischbach , Jan Strohschein , Andreas Bunte , Jörg Stork , Heide Faeskorn-Woyke , Natalia Moriz , Thomas Bartz-Beielstein

This work introduces CAI Fluency, an an educational platform of the Cybersecurity AI (CAI) framework dedicated to democratizing the knowledge and application of cybersecurity AI tools in the global security community. The main objective of…

Intelligent applications based on machine learning are impacting many parts of our lives. They are required to operate under rigorous practical constraints in terms of service latency, network bandwidth overheads, and also privacy. Yet…

分布式、并行与集群计算 · 计算机科学 2022-05-18 Luhui Wang , Cong Zhao , Shusen Yang , Xinyu Yang , Julie McCann

Cloud Computing (CC) serves to be a key driver for fulfilling the store and compute requirements of a modern Smart Grid (SG). However, since the datacenters are deployed in concentrated and far remote areas, it fails to guarantee the…

网络与互联网体系结构 · 计算机科学 2018-05-24 Md. Muzakkir Hussain , Mohammad Saad Alam , M. M. Sufyan Beg

e-Infrastructures have powered the successful penetration of e-services across domains, and form the backbone of the modern computing landscape. e-Infrastructure is a broad term used for large, medium and small scale computing environments.…

分布式、并行与集群计算 · 计算机科学 2020-12-18 Prashant Singh , Mona Mohamed Elamin , Salman Toor

Our Critical Infrastructure (CI) systems are, by definition, critical to the safe and proper functioning of society. Nearly all of these systems utilize industrial Process Control Systems (PCS) to provide clean water, reliable electricity,…

密码学与安全 · 计算机科学 2018-05-10 James Christopher Foreman

Cloud computing recently developed into a viable alternative to on-premises systems for executing high-performance computing (HPC) applications. With the emergence of new vendors and hardware options, there is now a growing need to…

分布式、并行与集群计算 · 计算机科学 2018-12-14 Mohammad Mohammadi , Timur Bazhirov

Automated structural health monitoring is essential to prevent catastrophic infrastructure failures. Precise, pixel-level defect segmentation is needed to accurately assess structural integrity, but progress in defect segmentation for civil…

The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scientific process, requiring new capabilities for integrated…

分布式、并行与集群计算 · 计算机科学 2019-03-19 Ilkay Altintas , Kyle Marcus , Isaac Nealey , Scott L. Sellars , John Graham , Dima Mishin , Joel Polizzi , Daniel Crawl , Thomas DeFanti , Larry Smarr

Internet of Things (IoT), the emerging computing infrastructure that refers to the networked interconnection of physical objects, incorporates a plethora of digital systems that are being developed by means of a large number of…

分布式、并行与集群计算 · 计算机科学 2020-01-24 Asad Javed , Keijo Heljanko , Andrea Buda , Kary Främling

Business Intelligence (BI) is becoming more accessible and less expensive with fewer risks through various deployment options available in the Cloud. Cloud computing facilitates the acquisition of custom solutions for not-for-profit (NFP)…

计算机与社会 · 计算机科学 2016-06-03 Purva Koparkar , Dale MacKrell

The gradual deployment of intelligent and coordinated devices in the electrical power system needs careful investigation of the interactions between the various domains involved. Especially due to the coupling between ICT and power systems…

The Superfacility model is designed to leverage HPC for experimental science. It is more than simply a model of connected experiment, network, and HPC facilities; it encompasses the full ecosystem of infrastructure, software, tools, and…

The National Science Foundation has identified a new thrust area in Quantum, Molecular and High Performance Modeling and Simulation for Devices and Systems (QMHP) in its core program. The main purpose of this thrust area is to capture…

量子物理 · 物理学 2011-11-10 Jonathan P. Dowling , Gerhard Klimeck , Paul Werbos

The National Fusion Collaboratory (NFC) project was created to advance scientific understanding and innovation in magnetic fusion research by enabling more efficient use of existing experimental facilities through more effective integration…

分布式、并行与集群计算 · 计算机科学 2007-05-23 K. Keahey , T. Fredian , Q. Peng , D. P. Schissel , M. Thompson , I. Foster , M. Greenwald , D. McCune
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