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Related papers: Calibration of LOFAR data on the cloud

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In this article we look at the potential of cloud containers and we provide some guidelines for companies and organisations that are starting to look at how to migrate their legacy infrastructure to something modern, reliable and scalable.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-04 Damiano Perri , Marco Simonetti , Sergio Tasso , Federico Ragni , Osvaldo Gervasi

Cloud infrastructure supports the efficient operation of data pipelines regarding requirements like cost, speed, and resource utilization. We present an integrated view of optimization opportunities for cloud-based data pipelines by…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-03 Johannes Jablonski , Georg-Daniel Schwarz , Philip Heltweg , Dirk Riehle

Modern astronomical data processing requires complex software pipelines to process ever growing datasets. For radio astronomy, these pipelines have become so large that they need to be distributed across a computational cluster. This makes…

Instrumentation and Methods for Astrophysics · Physics 2018-07-17 Alexandar P. Mechev , Aske Plaat , J. B. Raymond Oonk , Huib T. Intema , Huub J. A. Röttgering

Recent work has successfully achieved sub-arcsecond wide-field imaging with high-band observations from the Low Frequency Array (LOFAR). However, the scalability of this work remains limited due to the need for manual intervention, poor…

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible…

Cryptography and Security · Computer Science 2015-06-04 Rohit Bhadauria , Sugata Sanyal

The evolution and advances made in the field of Cloud engineering influence the constant changes in software application development cycle and practices. Software architecture has evolved along with other domains and capabilities of…

Software Engineering · Computer Science 2024-08-14 Kalyani V N S Pendyala , Rajkumar Buyya

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for the IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture,…

Cryptography and Security · Computer Science 2013-05-22 Rohit Bhadauria , Rituparna Chaki , Nabendu Chaki , Sugata Sanyal

Big data dictate their requirements to the hardware and software. Simple migration to the cloud data processing, while solving the problem of increasing computational capabilities, however creates some issues: the need to ensure the safety,…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-03 E. Nikulchev , E. Pluzhnik , D. Biryukov , O. Lukyanchikov , S. Payain

At present moment, there is a great interest in development of information systems operating in cloud infrastructures. Generally, many of tasks remain unresolved such as tasks of optimization of large databases in a hybrid cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-17 Evgeniy Pluzhnik , Evgeny Nikulchev , Simon Payain

We investigate the feasibility of high performance scientific computation using cloud computers as an alternative to traditional computational tools. The availability of these large, virtualized pools of compute resources raises the…

Materials Science · Physics 2009-01-05 J. J. Rehr , J. P. Gardner , M. Prange , L. Svec , F. Vila

Cloud computing changed the way of computing as utility services offered through public network. Selecting multiple providers for various computational requirements improves performance and minimizes cost of cloud services than choosing a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-13 Thiruselvan Subramanian , Nickolas Savarimuthu

Handling, processing and archiving the huge amount of data produced by the new generation of experiments and instruments in Astronomy and Astrophysics are among the more exciting challenges to address in designing the future data management…

Instrumentation and Methods for Astrophysics · Physics 2018-06-14 S. Bertocco , P. Dowler , S. Gaudet , B. Major , F. Pasian , G. Taffoni

We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer that optimizes the data placement tier (on the cloud) and the…

Cloud computing provides scientists a platform that can deploy computation and data intensive applications without infrastructure investment. With excessive cloud resources and a decision support system, large generated data sets can be…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-27 Dong Yuan , Lizhen Cui , Xiao Liu , Erjiang Fu , Yun Yang

As artificial intelligence, machine learning, and data science continue to drive the data-centric economy, the challenges of implementing machine learning on a single machine due to extensive data and computational needs have led to the…

Networking and Internet Architecture · Computer Science 2024-07-31 Boyang Yan

A number of hardware upgrades for the Low-Frequency Array (LOFAR) are currently under development. These upgrades are collectively referred to as the LOFAR 2.0 upgrade. The first stage of LOFAR 2.0 will introduce a distributed clock signal…

Instrumentation and Methods for Astrophysics · Physics 2021-08-11 H. W. Edler , F. de Gasperin , D. Rafferty

This paper proposes a cloud architecture for the correlation of wide bandwidth VLBI data. Cloud correlation facilitates processing of entire experiments in parallel using flexibly allocated and practically unlimited compute resources. This…

Instrumentation and Methods for Astrophysics · Physics 2021-03-16 Ajay Gill , Lindy Blackburn , Arash Roshanineshat , Chi-Kwan Chan , Sheperd S. Doeleman , Michael D. Johnson , Alexander W. Raymond , Jonathan Weintroub

Modern organizations manage their data with a wide variety of specialized cloud database engines (e.g., Aurora, BigQuery, etc.). However, designing and managing such infrastructures is hard. Developers must consider many possible designs…

Databases · Computer Science 2024-07-31 Geoffrey X. Yu , Ziniu Wu , Ferdi Kossmann , Tianyu Li , Markos Markakis , Amadou Ngom , Samuel Madden , Tim Kraska

Cloud computing provides a great opportunity for scientists, as it enables large-scale experiments that cannot are too long to run on local desktop machines. Cloud-based computations can be highly parallel, long running and data-intensive,…

Software Engineering · Computer Science 2016-12-07 Maria Spichkova , Heinz W. Schmidt , Ian E. Thomas , Iman I. Yusuf , Steve Androulakis , Grischa R. Meyer

The Low Frequency Array (LOFAR) is an ideal instrument to conduct deep extragalactic surveys. It has a large field of view and is sensitive to large scale and compact emission. It is, however, very challenging to synthesize thermal noise…

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