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With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Jia Yu , Rajkumar Buyya

Grids aim at exploiting synergies that result from cooperation of autonomous distributed entities. The synergies that result from grid cooperation include the sharing, exchange, selection, and aggregation of geographically distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Rajkumar Buyya , Srikumar Venugopal

Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Srikumar Venugopal , Rajkumar Buyya , Kotagiri Ramamohanarao

Systems engineering has developed a mature knowledge on how to design, integrate and manage complex industrial systems, whereas disciplines studying complex systems in nature or society also propose numerous tools for their understanding.…

Computers and Society · Computer Science 2018-05-28 Juste Raimbault

Grid computing is a distributed computing paradigm which aims to aggregate several heterogeneous and distributed resources, belonging to different and independent organizations, in a dynamic, transparent and coordinated way. Since its…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-27 Cosimo Anglano , Massimo Canonico , Marco Guazzone

The effective receptive field of a fully convolutional neural network is an important consideration when designing an architecture, as it defines the portion of the input visible to each convolutional kernel. We propose a neural network…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Joshua Bruton , Hairong Wang

Purpose: The computation methods for modeling, controlling and optimizing the transforming grid are evolving rapidly. We review and systemize knowledge for a special class of computation methods that solve large-scale power grid…

Systems and Control · Electrical Eng. & Systems 2025-01-09 Amritanshu Pandey , Mads Almassalkhi , Sam Chevalier

This paper applies a new model and analytical tool to measure and study contemporary globalization processes in collaborative science - a world in which scientists, scholars, technicians and engineers interact within a 'grid' of…

Digital Libraries · Computer Science 2012-03-20 Robert J. W. Tijssen , Ludo Waltman , Nees Jan van Eck

Wider adoption of the Grid concept has led to an increasing amount of federated computational, storage and visualisation resources being available to scientists and researchers. Distributed and heterogeneous nature of these resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-11-05 Aleksandar Lazarevic , Lionel Sacks , Ognjen Prnjat

This paper presents a case study concerning the challenges and requirements posed by next generation language resources, realized as an overall model of open, distributed and collaborative language infrastructure. If a sort of "new…

Grids enable the aggregation, virtualization and sharing of massive heterogeneous and geographically dispersed resources, using files, applications and storage devices, to solve computation and data intensive problems, across institutions…

Software Engineering · Computer Science 2007-07-06 David Manset , Herve Verjus , Richard McClatchey

As the Grid evolves from a high performance cluster middleware to a multipurpose utility computing framework, a good understanding of Grid applications, their statistics and utilisation patterns is required. This study looks at job…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-11-05 Aleksandar Lazarevic , Lionel Sacks

-Information Technology (IT) shaped the success of organizations, giving them a solid foundation that increases both their level of efficiency as well as productivity. The computing industry is witnessing a paradigm shift in the way…

Computers and Society · Computer Science 2012-09-28 Heru Susanto , Mohammad Nabil Almunawar , Chen Chin Kang

The distributed computing is done on many systems to solve a large scale problem. The growing of high-speed broadband networks in developed and developing countries, the continual increase in computing power, and the rapid growth of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-14 Dr. Brijender Kahanwal , Dr. T. P. Singh

The numerical size of academic publications that are being published in recent years had grown rapidly. Accessing and searching massive academic publications that are distributed over several locations need large amount of computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-27 Mohammed Bakri Bashir , Muhammad Shafie Abd Latiff , Shafii Muhammad Abdulhamid , Cheah Tek Loon

We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scientists to employ grid technology for scientific applications. AstroGrid-D provides access to a network of distributed machines with a set of…

This paper presents a perspective on the Healthgrid initiative which involves European projects deploying pioneering applications of grid technology in the health sector. In the last couple of years, several grid projects have been funded…

Databases · Computer Science 2016-11-18 V. Breton , A. E. Solomonides , R. H. McClatchey

Innovative solutions and developments are being inspected to tackle rising electrical power demand to be supplied by clean forms of energy. The integration of renewable energy generations, varying nature loads, importance of active role of…

Prompt-based continual learning (CL) provides a parameter-efficient approach for adapting large language models (LLMs) across task sequences. However, most existing methods rely on task-aware inference and maintain a growing set of…

Machine Learning · Computer Science 2025-10-02 Anushka Tiwari , Sayantan Pal , Rohini K. Srihari , Kaiyi Ji