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Related papers: Calibration of LOFAR data on the cloud

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The proliferation of commercial cloud computing providers has generated significant interest in the scientific computing community. Much recent research has attempted to determine the benefits and drawbacks of cloud computing for scientific…

Instrumentation and Methods for Astrophysics · Physics 2016-11-15 Gideon Juve , Ewa Deelman , Karan Vahi , Gaurang Mehta , Bruce Berriman , Benjamin P. Berman , Phil Maechling

In parallel with big data processing and analysis dominating the usage of distributed and cloud infrastructures, the demand for distributed metadata access and transfer has increased. In many application domains, the volume of data…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-01 Bing Zhang , Tevfik Kosar

Cloud computing refers to a paradigm shift to overall IT solutions while raising the accessibility, scalability and effectiveness through its enabling technologies. However, migrated cloud platforms and services cost benefits as well as…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-05-21 Abhinav Pandey , Akash Pandey , Ankit Tandon , Brajesh Kr Maurya , Upendra Kushwaha , Dr. Madhvendra Mishra , Vijayshree Tiwari

LOFAR is a leading aperture synthesis telescope operated in the Netherlands with stations across Europe. The LOFAR Two-meter Sky Survey (LoTSS) will produce more than 3000 14 TB data sets, mapping the entire northern sky at low frequencies.…

Instrumentation and Methods for Astrophysics · Physics 2019-06-28 A. P. Mechev , T. W. Shimwell , A. Plaat , H. Intema , A. L. Varbanescu , H. J. A Rottgering

Cloud Computing emerges from the global economic crisis as an option to use computing resources from a more rational point of view. In other words, a cheaper way to have IT resources. However, issues as security and privacy, SLA (Service…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-21 Jose Fernando S. Carvalho , Paulo Anselmo da Mota Silveira Neto , Vincius Cardoso Garcia , Rodrigo Elia Assad , Frederico Durao

With the advantages that cloud computing offers in terms of platform as a service, software as a service, and infrastructure as a service, data engineers and data scientists are able to leverage cloud computing for their ETL/ELT (extract,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-01 Mohammad Rehman , Hairong Wang

Cloud computing is widely adopted by corporate as well as retail customers to reduce the upfront cost of establishing computing infrastructure. However, switching to the cloud based services poses a multitude of questions, both for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-22 M P Gilesh

Owing to their cost-effectiveness and flexibility, cloud services have been the default choice for the deployment of innumerable software systems over the years. However, novel paradigms are beginning to emerge, as the cloud can't meet the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-29 Tamara Ranković , Ivana Kovačević , Veljko Maksimović , Goran Sladić , Miloš Simić

With weather becoming more extreme both in terms of longer dry periods and more severe rain events, municipal water networks are increasingly under pressure. The effects include damages to the pipes, flash floods on the streets and combined…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-18 Felix Lorenz , Morgan Geldenhuys , Harald Sommer , Frauke Jakobs , Carsten Lüring , Volker Skwarek , Ilja Behnke , Lauritz Thamsen

The rapid evolution of embedded systems, along with the growing variety and complexity of AI algorithms, necessitates a powerful hardware/software co-design methodology based on virtual prototyping technologies. The market offers a diverse…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-20 Tim Kraus , Axel Sauer , Ingo Feldner

This paper addresses how the benefits of cloud-based infrastructure can be harnessed for analytical workloads. Often the software handling analytical workloads is not developed by a professional programmer, but on an ad hoc basis by…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-14 Ishan Patel , Andrew Rau-Chaplin , Blesson Varghese

Hybrid cloud provides an attractive solution to microservices for better resource elasticity. A subset of application components can be offloaded from the on-premises cluster to the cloud, where they can readily access additional resources.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-14 Ka-Ho Chow , Umesh Deshpande , Veera Deenadhayalan , Sangeetha Seshadri , Ling Liu

Cloud computing promises a radical shift in the provisioning of computing resource within the enterprise. This paper: i) describes the challenges that decision makers face when attempting to determine the feasibility of the adoption of…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-05-14 Ali Khajeh-Hosseini , David Greenwood , James W. Smith , Ian Sommerville

Due to the recent wide use of computational resources in cloud computing, new resource provisioning challenges have been emerged. Resource provisioning techniques must keep total costs to a minimum while meeting the requirements of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-21 Safiye Ghasemi , Mohammad Reza Meybodi , Mehdi Dehghan Takht Fooladi , Amir Masoud Rahmani

Reliability, security and stability of cloud services without sacrificing too much resources have become a desired feature in the area of workload management in clouds. The paper proposes and evaluates a lightweight framework for scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-09 Muhammed Abdulazeez , Pawel Garncarek , Dariusz R. Kowalski , Prudence W. H. Wong

One of the science drivers of the new Low Frequency Array (LOFAR) is large-area surveys of the low-frequency radio sky. Realizing this goal requires automated processing of the interferometric data, such that fully calibrated images are…

Containers offer an array of advantages that benefit research reproducibility and portability across groups and systems. As container tools mature, container security improves, and High-performance computing (HPC) and cloud system tools…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-24 Tiziano Müller , Nina Mujkanovic , Juan J. Durillo , Nicolay Hammer

Cloud computing is an emerging computing model where IT and computing operations are delivered as services in highly scalable and cost effective manner. Recently, embarking this new model in business has become popular. Companies in diverse…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-22 Jafar Shayan , Ahmad Azarnik , Suriayati Chuprat , Sasan Karamizadeh , Mojtaba Alizadeh

Cloud computing is a disruptive technology, representing a new model for information technology (IT) solution engineering and management that promises to introduce significant cost savings and other benefits. The adoption of Cloud computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-19 Michael Menzel , Marten Schönherr , Jens Nimis , Stefan Tai

Virtual wide-area networks (WANs) are WAN-as-a-service cloud offerings that aim to bring the performance benefits of dedicated wide-area interconnects to enterprise customers. In this work, we show that the topology of a virtual WAN can…

Networking and Internet Architecture · Computer Science 2024-01-19 Anjali , Rachee Singh , Michael M. Swift