Search 250 million research papers

Grid Computing Grid Computing

Mahesh V. Joshi · 2005

Cited by 0

Grid Computing — GRID 2002

Manish Parashar, Parashar, Manish · Lecture notes in computer science · 2002

Cited by 1

Grid Computing

Yen, Eric · CERN Bulletin · 2008

Cited by 0

[Grid computing]

Wolinsky, H · CERN Document Server (European Organization for Nuclear Research) · 2003

"Turn on a water spigot, and it's like tapping a bottomless barrel of water. Ditto for electricity: Flip the switch, and the supply is endless. But computing is another matter. Even with the Internet revolution enabling us to connect in new ways, we are still limited to self-contained systems running locally stored software, limited by corporate, institutional and geographic boundaries" (1 page).

Cited by 0

Grid computing

CERN Document Server (European Organization for Nuclear Research) · 2007

"Some of today's large-scale scientific activities - modelling climate change, Earth observation, studying the human genome and particle physics experiments - involve handling millions of bytes of data very rapidly." (1 page)

Cited by 0Open access

Grid Computing

Ileana Dumitru · International Journal of Sustainable Economies Management · 2014

To calculate the potential impact of grid on the enterprise, one just needs to look back a decade or so ago. Those who remember how LANs developed in company years before the Web was born can easily get a picture of how Grid Computing in corporations may change in the years to come. In the early days of the Internet, there was a strong opposition to linking computers together in a network. Ultimately, however, the Internet has become a ubiquitous tool, and many experts predict the same outcome for Grid Computing on the enterprise. There are still concerns to consider and obstacles to be overcome, but the momentum behind corporate Grid Computing is quickly gathering pace. The integration of Grid Computing technologies into enterprise computing systems can provide a much richer range of possibilities. This integration should provide enhanced capabilities and interoperability to meet current virtual organization demands.

Cited by 0

Grid Computing

Simon C. Lin, Eric Yen · 2008

Cited by 0

Grid Computing

Ewa Deelman, Carl Kesselman · Scientific Programming · 2002

DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

Cited by 1Open access

Grid Computing

Mohsin Ali, Ke Meng, Zhaoyang Dong et al. · 2010

Cited by 2

Grid computing

Romberg, M. · JuSER (Forschungszentrum Jülich) · 2002

Cited by 0

Grid computing

Radu Prodan, Thomas Fahringer · 2007

Cited by 0

Grid Computing

Matthew N. O. Sadiku, Adebowale E. Shadare, Sarhan M. Musa · International Journal of Advanced Research in Computer Science and Software Engineering · 2017

Cited by 1

Grid Computing

Petkov, N. · Data Archiving and Networked Services (DANS) · 2005

Cited by 0

computing Grid

Giacinto Donvito, Carlos Kavka, G. Eulisse et al. · 2016

Cited by 0

Grid Computing

Shrey Agrawal · Figshare · 2016

Grid computing is a new generation of distributedcomputing. The target of grid paradigm is how to constructstrong processing power and storage resources by manysmall and weak resources.<br>Gird computing is a mesh of interconnected resourcesworldwide which constructs massive powerful capabilities.The user of the grid has the ability to use any (or many) ofthese interconnected resources in the grid to solve hisproblems, which cannot be solved by locally ownedresources capabilities.

Cited by 0Open access

Grid computing

2009

Resource management effective scheduling algorithms is also increasing rapidly, particularly in the area of meta-scheduling. In these environments, users not only may have conflicting requirements with other users, but also they have to manage the trade-off between time and cost such that their applications can be executed most economically in the minimum time. Thus, selection of the best Grid resources becomes a challenge in such a competitive environment. This paper presents three novel heuristics for scheduling parallel applications on Utility Grids that manage and optimize the trade-off between time and cost constraints. The performance of the heuristics is evaluated through extensive simulations of a real-world environment with real parallel workload models to demonstrate the practicality of our algorithms. We compare our scheduling algorithms against existing common meta-schedulers experimentally. The results show that our algorithms outperform existing algorithms by minimizing the time and cost of application execution on Utility Grids. © 2009 Elsevier B.V. All rights reserved.

Cited by 0

Grid Computing

Biscarat, C. · HAL (Le Centre pour la Communication Scientifique Directe) · 2016

International audience

Cited by 0

Grid Computing

Petkov, N. · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2005

Cited by 0

Grid Computing

Barth, Thomas · Vieweg eBooks · 2006

Grid Computing bezeichnet alle Methoden, die Rechenleistung vieler Computer innerhalb eines Netzwerks so zusammenzufassen, dass über den reinen Datenaustausch hinaus die (parallele) Lösung von rechenintensiven Problemen ermöglicht wird (verteiltes Rechnen). Das Buch zeigt den State-of-the-Art. Forschung und Entwicklung konzentrieren sich auf die Konzepte, die eine Nutzung teurer Ressourcen "überall" und zu einem wirtschaftlichen Preis für Unternehmen wie Privatanwender ermöglichen. Analog zum Stromnetz ist das Ziel, eine hochwertige IT-Leistung unabhängig vom Standort bei Bedarf abrufen zu können. Dieses Buch gibt einen Überblick über die Grundlagen und den aktuellen Stand der Technologien und Anwendungen des Grid Computing. Für Forscher, Entscheidungsträger in der Industrie und Studierende der Informatik und Wirtschaftsinformatik.

Cited by 0

Grid computing

Joshy Joseph, Craig Fellenstein · 2003

A business-focused guide to the grid computing revolution Best practices, case studies, and resources from IBM's experts Drive unprecedented value from your existing IT investments Simplify IT administration in heterogeneous environments Build flexible, resilient infrastructures that deliver resources instantlyIBM On Series: Your business blueprint for leveraging the grid computing revolution.When you turn on the light, the power grid delivers exactly what you need, instantly. What if computers and networks could work that way? Now they can...and that will transform the way you do business. Grid Computing is about the Business on Demand revolution: delivering the exact technology resources you need, anywhere, anytime, without complexity or high cost. You can do it all, starting right now, starting with your existing systems. Whether you're an executive, strategist, architect, technologist, or developer, this book will show you how. Master the fundamental concepts underlying grid and utility computing Learn how to start and which applications to start with Understand the state-of-the-art in technologies and standards Use grid computing to maximize the value of existing resources Build more flexible, resilient, and available operational infrastructures Deliver instantaneous access to data and resources on a sense and respond basis Eliminate the burden of administering disparate, non-integrated systemsIn Grid Computing, leading IBM experts bring together best deployment practices, practical guidance on integrating existing resources, and up-to-the-minute case studies: all you need to drive business value from the grid computing revolution.

Cited by 0