The Grid 2: Blueprint for a New Computing Infrastructure
By R. V. Nieuwpoort. 2003
1,726 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/d919aed5309fb8642e9ef8c7be7fcb6c086a2131
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ji Liu
- Esther Pacitti
- Timothy L. Bailey
- Patrick Valduriez
- Nadya Williams
- Wilfred W. Li
- Marta Mattoso
- C. Misleh
Citations in the corpus
- Conditioning Gaussian measure on Hilbert space (2015, background): “Tarieladze [37] asserts that this latter result extends one in the Information-Based Complexity of Traub, Wasilkowski and Wozniakowski [39] which is relevant to Grid Computing as described in Foster and Kesselman [17].”
- Taverna: a tool for the composition and enactment of bioinformatics workflows (2004, background): “The myGrid e-Science project aims to provide high-level, service-based middleware to support data-intensive in silico bioinformatics experiments using distributed resources (Goble et al., 2003).”
- A critical review of cloud computing: researching desires and realities (2012, background): “More recently, the ability to scale computing elastically (Foster and Kesselman, 2004a, b; Foster et al ., 2001) through the use of cloud servers has enabled dot-com start-ups like Animoto.com to match their growing demand (Creeger, 2009; Smith, 2009).”
- MEME: discovering and analyzing DNA and protein sequence motifs (2006, methodology): “To meet the growing user demand and take advantage of the emerging grid computing resources [12], we have made MEME available for installation on Linux clusters using either the RPM package manager or Rocks.”
- CloudBLAST: Combining MapReduce and Virtualization on Distributed Resources for Bioinformatics Applications (2008, background): “…conduct large-scale computations on distributed resources by using a combination of the following emerging technologies: Distributed middleware for connecting data/cluster computing centers; this includes Grid-computing middleware [1][2][3][4] for user authentication and accounting, remote job…”
- A Survey of Data-Intensive Scientific Workflow Management (2015, methodology): “According to Foster and Kesselman [52], a grid is a hardware and software infrastructure that manages distributed computers to provide good quality of service through standard protocols and interfaces with a decentralized control mechanism.”
- Building a database on S3 (2008, unknown): “computing [8].”