Computing and Information Systems - Research Publications

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Start date: 2006 × Author: Buyya, Rajkumar × Author: VENUGOPAL, SRIKUMAR × End date: 2010 ×

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Now showing 1 - 8 of 8
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    Aneka: Next-generation enterprise grid platform for e-Science and e-Business applications
    Chu, X ; Nadiminti, K ; Jin, C ; Venugopal, S ; Buyya, R ; Fox, G ; Chiu, K ; Buyya, R (IEEE COMPUTER SOC, 2007)
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    An SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids
    Venugopal, S ; Buyya, R (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2008-04)
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    A taxonomy of data grids for distributed data sharing, management, and processing
    Venugopal, S ; Buyya, R ; Ramamohanarao, K (Association for Computing Machinery (ACM), 2006)
    Data Grids have been adopted as the next generation platform by many scientific communities that need to share, access, transport, process, and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this article, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks, and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation, and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration.
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    Portfolio and investment risk analysis on global grids
    Moreno-Vozmediano, R ; Nadiminti, K ; Venugopal, S ; Alonso-Conde, AB ; Gibbins, H ; Buyya, R (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2007-12)
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    A toolkit for modelling and simulating data Grids: an extension to GridSim
    Sulistio, A ; Cibej, U ; Venugopal, S ; Robic, B ; Buyya, R (WILEY, 2008-09-10)
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    InterGrid:: a case for internetworking islands of Grids
    de Assuncao, MD ; Buyya, R ; Venugopal, S (WILEY, 2008-06-10)
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    A grid service broker for scheduling e-Science applications on global data grids
    Venugopal, S ; Buyya, R ; Winton, L (John Wiley & Sons, 2006)
    The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged in the analysis of huge collections of data generated by scientific instruments. Grid computing has emerged as an enabler for e-Science as it permits the creation of virtual organizations that bring together communities with common objectives. Within a community, data collections are stored or replicated on distributed resources to enhance storage capability or the efficiency of access. In such an environment, scientists need to have the ability to carry out their studies by transparently accessing distributed data and computational resources. In this paper, we propose and develop a Grid broker that mediates access to distributed resources by: (a) discovering suitable data and computational resources sources for a given analysis scenario; (b) optimally mapping analysis jobs to resources; (c) deploying and monitoring job execution on selected resources; (d) accessing data from local or remote data sources during job execution; and (e) collating and presenting results. The broker supports a declarative and dynamic parametric programming model for creating Grid applications. We have used this model in Grid-enabling a high-energy physics analysis application (the Belle Analysis Software Framework). The broker has been used in deploying Belle experimental data analysis jobs on a Grid testbed, called the Belle Analysis Data Grid, having resources distributed across Australia interconnected through GrangeNet.