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Infrastructure as a Service (IaaS) clouds have become the predominant underlying infrastructure for the operation of modern and smart technology. IaaS clouds have proven to be useful for multiple reasons such as reduced costs, increased…

分布式、并行与集群计算 · 计算机科学 2025-01-13 Nivedhitha Duggi , Masoud Rafiei , Mohsen Amini Salehi

IoT deployments have been growing manifold, encompassing sensors, networks, edge, fog and cloud resources. Despite the intense interest from researchers and practitioners, most do not have access to large-scale IoT testbeds for validation.…

分布式、并行与集群计算 · 计算机科学 2019-05-10 Shreyas Badiger , Shrey Baheti , Yogesh Simmhan

Cloud computing has become the ubiquitous computing and storage paradigm. It is also attractive for scientists, because they do not have to care any more for their own IT infrastructure, but can outsource it to a Cloud Service Provider of…

分布式、并行与集群计算 · 计算机科学 2016-01-11 Harald Richter

Human-multi-robot shared control leverages human decision-making and robotic autonomy to enhance human-robot collaboration. While widely studied, existing systems often adopt a leader-follower model, limiting robot autonomy to some extent.…

机器人学 · 计算机科学 2025-02-18 Pengming Zhu , Zongtan Zhou , Weijia Yao , Wei Dai , Zhiwen Zeng , Huimin Lu

Cloud computing has become the backbone of the computing industry and offers subscription-based on-demand services. Through virtualization, which produces a virtual instance of a computer system running in an abstracted hardware layer, it…

分布式、并行与集群计算 · 计算机科学 2022-07-19 Sakshi Chhabra , Ashutosh Kumar Singh

Over the last decade, the cloud computing landscape has transformed from a centralised architecture made of large data centres to a distributed and heterogeneous architecture embracing edge and IoT units. This shift has created the…

分布式、并行与集群计算 · 计算机科学 2022-06-28 Jämes Ménétrey , Marcelo Pasin , Pascal Felber , Valerio Schiavoni

As private space companies such as SpaceX and Telesat are building large LEO satellite constellations to provide global broadband Internet access, researchers have proposed to embed compute services within satellite constellations to…

分布式、并行与集群计算 · 计算机科学 2022-04-15 Tobias Pfandzelter , David Bermbach

Grid infrastructures that have provided wide integrated use of resources are becoming the de-facto computing platform for solving large-scale problems in science, engineering and commerce. In this evolution, desktop grid technologies allow…

分布式、并行与集群计算 · 计算机科学 2017-03-14 Alireza Poshtkohi , Ali Haj Abutalebi , Shaahin Hessabi

With high penetration of distributed renewable energy resources along with sophisticated automation and information technology, cyber-physical energy systems (CPES, i.e. Smart Grids here) requires a holistic approach to evaluate the…

The hybrid cloud idea is increasingly gaining momentum because it brings distinct advantages as a hosting platform for complex software systems. However, there are several challenges that need to be surmounted before hybrid hosting can…

软件工程 · 计算机科学 2022-05-11 Sreekrishnan Venkateswaran , Santonu Sarkar

We present GeoGrid-Bench, a benchmark designed to evaluate the ability of foundation models to understand geo-spatial data in the grid structure. Geo-spatial datasets pose distinct challenges due to their dense numerical values, strong…

High performance computing (HPC) and cloud have traditionally been separate, and presented in an adversarial light. The conflict arises from disparate beginnings that led to two drastically different cultures, incentive structures, and…

分布式、并行与集群计算 · 计算机科学 2025-06-24 Vanessa Sochat , David Fox , Daniel Milroy

The safety of autonomous vehicles (AVs) depends on their ability to perform complex computations on high-volume sensor data in a timely manner. Their ability to run these computations with state-of-the-art models is limited by the…

机器人学 · 计算机科学 2023-08-08 Peter Schafhalter , Sukrit Kalra , Le Xu , Joseph E. Gonzalez , Ion Stoica

The VERCE project has pioneered an e-Infrastructure to support researchers using established simulation codes on high-performance computers in conjunction with multiple sources of observational data. This is accessed and organised via the…

This document gives an overview of a Grid testbed architecture proposal for the NorduGrid project. The aim of the project is to establish an inter-Nordic testbed facility for implementation of wide area computing and data handling. The…

分布式、并行与集群计算 · 计算机科学 2007-05-23 A. Waananen , M. Ellert , A. Konstantinov , B. Konya , O. Smirnova

Large High Energy Physics (HEP) experiments adopted a distributed computing model more than a decade ago. WLCG, the global computing infrastructure for LHC, in partnership with the US Open Science Grid, has achieved data management at the…

Geospatial observations combined with computational models have become key to understanding the physical systems of our environment and enable the design of best practices to reduce societal harm. Cloud-based deployments help to scale up…

Over a past few decades, VM's or Virtual machines have sort of gained a lot of momentum, especially for large scale enterprises where the need for resource optimization & power save is humongous, without compromising with performance or…

其他计算机科学 · 计算机科学 2010-06-15 Rohit Kewlani

We show that distributed Infrastructure-as-a-Service (IaaS) compute clouds can be effectively used for the analysis of high energy physics data. We have designed a distributed cloud system that works with any application using large input…

分布式、并行与集群计算 · 计算机科学 2011-01-04 R. J. Sobie , A. Agarwal , M. Anderson , P. Armstrong , K. Fransham , I. Gable , D. Harris , C. Leavett-Brown , M. Paterson , D. Penfold-Brown , M. Vliet , A. Charbonneau , R. Impey , W. Podaima

We are developing the Virtual Experiences (Vx)Lab, a research and research training infrastructure and capability platform for global collaboration. VxLab comprises labs with visualisation capabilities, including underpinning networking to…

其他计算机科学 · 计算机科学 2015-11-02 Ian D. Peake , Jan Olaf Blech , Ian Thomas , Nicholas May , Heinz W. Schmidt , Lasith Fernando , Ravi Sreenivasamurthy