Grid Computing: Making the Global Infrastructure a Reality
By Fran Berman, Geoffrey C. Fox, Tony (Anthony) John Grenville Hey. 2003
1,542 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/ba9e5aadba52f279c19bd7145fb6bd4b647ad3ad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Rajkumar Buyya
- David Abramson
- Lihui Wang
- Fei Tao
- Srikumar Venugopal
- Lin Zhang
- Lei Ren
- Christine L. Borgman
Citations in the corpus
- Conducting Video Research in the Learning Sciences: Guidance on Selection, Analysis, Technology, and Ethics (2010, unknown): “A virtual repository is a key element in collaborative research because it provides a research community with an accessible touchstone corpus of empirical materials, analyses, and tools ( Berman, Fox, & Hey, 2003 ).”
- Cloud manufacturing: key characteristics and applications (2017, methodology): “● Pay-as-you-use scheme Cloud computing differs from Grid computing (Berman, Fox, and Hey 2003) mainly in that it speci fi es a business model in which both providers and users can get bene fi ts.”
- Digital ecosystems in the clouds: Towards community cloud computing (2009, background): “ Distributed Computation: The field has a long history of successful incarnations in its centrally controlled form. However, Community Cloud Computing will need to take inspiration from Grid Computing [62] to provide distributed coordination of the computational capabilities that nodes offer to the C”
- The Cactus Framework and Toolkit: Design and Applications (2002, background): “It is far beyond the scope of this article to go into further detail, but we refer the reader [4,42,43] for more detail.”
- Science friction: Data, metadata, and collaboration (2011, background): “Metadata are often described as ‘data about data’ (Hey and Trefethen, 2003) or ‘information about data’ (Michener, 2006).”
- The iLab Shared Architecture: A Web Services Infrastructure to Build Communities of Internet Accessible Laboratories (2008, background): “The goals of the grid are to provide vast computing resources to researchers via the distributed system integration of computation and data storage resources [17], [18].”
- The Grid Economy (2005, background): “In addition, it enhances the social structure of the Grid thereby ensuring its stability and efficiency [16].”
- Big Data sources and methods for social and economic analyses (2017, background): “Since the advent of the concept of “ Big Data ” two decades ago, some architectures to manage and analyze such data in di ff erent fi elds have been proposed, having their technical roots in distributed computing paradigms such as grid computing (Berman et al., 2003).”