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The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by research results from…

Databases · Computer Science 2013-06-10 Nur Aini Rakhmawati , Jürgen Umbrich , Marcel Karnstedt , Ali Hasnain , Michael Hausenblas

Cyber-physical systems increasingly rely on distributed computing platforms where sensing, computing, actuation, and communication resources are shared by a multitude of applications. Such `cyber-physical cloud computing platforms' present…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-03 Gabor Karsai , Daniel Balasubramanian , Abhishek Dubey , William R. Otte

It is time for the legacy financial infrastructure to seamlessly connect with modern, decentralized infrastructure. Although it is increasingly evident that decentralized infrastructure for finance (namely distributed ledgers) will coexist…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-30 Rafael Belchior , Thomas Hardjono , Alex Chiriac , Venkatraman Ranakrishna

Data availability is one of the most important features in distributed storage systems, made possible by data replication. Nowadays data are generated rapidly and the goal to develop efficient, scalable and reliable storage systems has…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-01 Chryssis Georgiou , Nicolas Nicolaou , Andria Trigeorgi

Legacy AD/ADAS development from OEMs centers around developing functions on ECUs using services provided by AUTOSAR Classic Platform (CP) to meet automotive-grade and mass-production requirements. The AUTOSAR CP couples hardware and…

Operating Systems · Computer Science 2023-06-29 David Yu , Andy Xiao

Centralized and distributed systems are two main approaches to organizing ICT infrastructure, each with its pros and cons. Centralized systems concentrate resources in one location, making management easier but creating single points of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-07 Valerio Bellandi

As QKD infrastructure becomes increasingly complex while being developed by different actors (typically national governments), interconnecting them into a federated network of very elaborate sub-networks that maintain a high degree of…

Networking and Internet Architecture · Computer Science 2024-09-19 Alin-Bogdan Popa , Pantelimon Popescu

Web archiving is the process of collecting portions of the Web to ensure that the information is preserved for future exploitation. However, despite the increasing number of web archives worldwide, the absence of efficient and meaningful…

Digital Libraries · Computer Science 2018-10-25 Pavlos Fafalios , Helge Holzmann , Vaibhav Kasturia , Wolfgang Nejdl

A new model of causal failure is presented and used to solve a novel replica placement problem in data centers. The model describes dependencies among system components as a directed graph. A replica placement is defined as a subset of…

Data Structures and Algorithms · Computer Science 2017-01-09 K. Alex Mills , R. Chandrasekaran , Neeraj Mittal

Federated learning (FL) is a distributed machine learning paradigm enabling collaborative model training while preserving data privacy. In today's landscape, where most data is proprietary, confidential, and distributed, FL has become a…

Machine Learning · Computer Science 2025-03-11 Zilinghan Li , Shilan He , Ze Yang , Minseok Ryu , Kibaek Kim , Ravi Madduri

The FAIR Principles are a set of good practices to improve the reproducibility and quality of data in an Open Science context. Different sets of indicators have been proposed to evaluate the FAIRness of digital objects, including datasets…

Digital Libraries · Computer Science 2023-06-28 Fernando Aguilar Gómez , Isabel Bernal

The increasing requirements for data protection and privacy has attracted a huge research interest on distributed artificial intelligence and specifically on federated learning, an emerging machine learning approach that allows the…

Machine Learning · Computer Science 2024-02-16 Jose L. Salmeron , Irina Arévalo , Antonio Ruiz-Celma

Data sharing in large consortia, such as research collaborations or industry partnerships, requires addressing both organizational and technical challenges. A common platform is essential to promote collaboration, facilitate exchange of…

A distributed directory is an overlay data structure on a graph $G$ that helps to access a shared token $t$. The directory supports three operations: publish, to announce the token, lookup, to read the contents of the token, and move, to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-17 Judith Beestermöller , Costas Busch , Roger Wattenhofer

We consider the problem of federated offline reinforcement learning (RL), a scenario under which distributed learning agents must collaboratively learn a high-quality control policy only using small pre-collected datasets generated…

Machine Learning · Computer Science 2024-10-07 Desik Rengarajan , Nitin Ragothaman , Dileep Kalathil , Srinivas Shakkottai

Multi-cloud concept has broaden the world of cloud computing and has become a buzzword today. The word Multi-cloud envisions utilization of services from multiple heterogeneous cloud providers via a single architecture at customer premises.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-31 Deepika Saxena , Rishabh Gupta , Ashutosh Kumar Singh

Distributed File Systems (DFS) have emerged as sophisticated solutions for efficient file storage and management across interconnected computer nodes. The main objective of DFS is to achieve flexible, scalable, and resilient file storage…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-09 Xueting Pan , Ziqian Luo , Lisang Zhou

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…

Software Engineering · Computer Science 2022-05-11 Sreekrishnan Venkateswaran , Santonu Sarkar

To enable materials databases supporting computational and experimental research, it is critical to develop platforms that both facilitate access to the data and provide the tools used to generate/analyze it - all while considering the…

The creation of open archives i.e. archives where access is regulated by open licensing models (content, source, data), should be seen as part of a broader socio-economic phenomenon that finds legal expression in specific organizational and…

Digital Libraries · Computer Science 2011-09-06 Prodromos Tsiavos , Petros Stefaneas
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