Copertina

Advanced computing for reproducibility of astronomy Big Data Science, with a showcase of AMIGA and the SKA Science prototype

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Garrido, Julián, Sánchez, Susana, João, Edgar Ribeiro, Ianjamasimanana, Roger, Parra, Manuel, Verdes-Montenegro, Lourdes
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet
di: Parra-Royón, Manuel, et al.
Pubblicazione: (2026)

Integration of storage endpoints into a Rucio data lake, as an activity to prototype a SKA Regional Centres Network
di: Parra-Royón, Manuel, et al.
Pubblicazione: (2023)

An approach to provide serverless scientific pipelines within the context of SKA
di: Ríos-Monje, Carlos, et al.
Pubblicazione: (2023)

Accelerating radio astronomy imaging with RICK: a step towards SKA-Mid and SKA-Low
di: Lacopo, Giovanni, et al.
Pubblicazione: (2026)

Bringing Computation to the data: Interoperable serverless function execution for astrophysical data analysis in the SRCNet
di: Parra-Royón, Manuel, et al.
Pubblicazione: (2026)

Green computing toward SKA era with RICK
di: Lacopo, Giovanni, et al.
Pubblicazione: (2025)

Advancing Polyglot Big Data Processing using the Hadoop ecosystem
di: Seabra, Antony, et al.
Pubblicazione: (2025)

FAIR Ecosystems for Science at Scale
di: Wilkinson, Sean R., et al.
Pubblicazione: (2025)

ChainScience 2024, Conference Proceedings
di: Vallarano, Nicolò, et al.
Pubblicazione: (2024)

Open Science Data Federation -- operation and monitoring
di: Andrijauskas, Fabio, et al.
Pubblicazione: (2026)

Xorbits: Automating Operator Tiling for Distributed Data Science
di: Lu, Weizheng, et al.
Pubblicazione: (2023)

DRAM Errors and Cosmic Rays: Space Invaders or Science Fiction?
di: Boixaderas, Isaac, et al.
Pubblicazione: (2024)

Report on Challenges of Practical Reproducibility for Systems and HPC Computer Science
di: Keahey, Kate, et al.
Pubblicazione: (2025)

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
di: Sengupta, Rahul, et al.
Pubblicazione: (2026)

Experiences with Model Context Protocol Servers for Science and High Performance Computing
di: Pan, Haochen, et al.
Pubblicazione: (2025)

Dflow, a Python framework for constructing cloud-native AI-for-Science workflows
di: Liu, Xinzijian, et al.
Pubblicazione: (2024)

Big Data Architecture for Large Organizations
di: Ismail, Fathima Nuzla, et al.
Pubblicazione: (2025)

Trustworthy Scheduling for Big Data Applications
di: Tomaras, Dimitrios, et al.
Pubblicazione: (2026)

Analysis of Distributed Algorithms for Big-data
di: Purohit, Rajendra, et al.
Pubblicazione: (2024)

Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science
di: Li, Zilinghan, et al.
Pubblicazione: (2025)

ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science
di: Hanai, Masatoshi, et al.
Pubblicazione: (2024)

Graph for Science: From API based Programming to Graph Engine based Programming for HPC
di: Zhang, Yu, et al.
Pubblicazione: (2023)

Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software
di: Samsi, Siddharth, et al.
Pubblicazione: (2025)

Analysis of Server Throughput For Managed Big Data Analytics Frameworks
di: Anagnostakis, Emmanouil, et al.
Pubblicazione: (2025)

Using the Open Science Data Federation for data distribution: Big Bear Solar Observatory use case
di: Montiel, Sydney, et al.
Pubblicazione: (2026)

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets
di: Kim, Michael E., et al.
Pubblicazione: (2024)

A Taxonomy of Schedulers -- Operating Systems, Clusters and Big Data Frameworks
di: Sliwko, Leszek
Pubblicazione: (2025)

Stably computable relations and predicates
di: Aspnes, James
Pubblicazione: (2024)

Inter-APU Communication on AMD MI300A Systems via Infinity Fabric: a Deep Dive
di: Schieffer, Gabin, et al.
Pubblicazione: (2025)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
di: Will, Jonathan, et al.
Pubblicazione: (2025)

A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications
di: Chandra, Ritesh, et al.
Pubblicazione: (2025)

A unified framework to improve the interoperability between HPC and Big Data languages and programming models
di: Piñeiro, César, et al.
Pubblicazione: (2021)

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
di: Liu, Chen, et al.
Pubblicazione: (2025)

Unveiling Crowdfunding Futures: Analyzing Campaign Outcomes through Distributed Models and Big Data Perspectives
di: Pipitò, Giuseppe, et al.
Pubblicazione: (2024)

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
di: Bhawiyuga, Adhitya, et al.
Pubblicazione: (2025)

An Integrated (Crop Model, Cloud and Big Data Analytic) Framework to support Agriculture Activity Monitoring System
di: Akhter, Shamim, et al.
Pubblicazione: (2024)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
di: Chandra, Ritesh, et al.
Pubblicazione: (2025)

Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework
di: Li, Chen, et al.
Pubblicazione: (2024)

What can be computed in average anonymous networks?
di: Rybicki, Joel, et al.
Pubblicazione: (2026)

Task queue implementation for edge computing platform
di: Maksimovic, Veljko, et al.
Pubblicazione: (2024)