GRID Infoware

Grid Computing Info Centre (GRID Infoware) The Grid Computing Information Centre (GRID Infoware: http://www.gridcomputing.com) aims to promote the development and advancement of technologies that provide seamless and scalable access to wide-area distributed resources. Computational Grids enable the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources (such as supercomputers, compute clusters, storage systems, data sources, instruments, people) and presents them as a single, unified resource for solving large-scale compute and data intensive computing applications (e.g, molecular modelling for drug design, brain activity analysis, and high energy physics). This idea is analogous to electric power network (grid) where power generators are distributed, but the users are able to access electric power without bothering about the source of energy and its location.


References in zbMATH (referenced in 23 articles )

Showing results 1 to 20 of 23.
Sorted by year (citations)

1 2 next

  1. Benoit, Anne; Robert, Yves; Rosenberg, Arnold L.; Vivien, Frédéric: Static strategies for worksharing with unrecoverable interruptions (2013)
  2. Cordasco, Gennaro; Malewicz, Grzegorz; Rosenberg, Arnold L.: Extending IC-scheduling via the sweep algorithm (2010)
  3. Liang, Zhengqiang; Shi, Weisong: A reputation-driven scheduler for autonomic and sustainable resource sharing in grid computing (2010)
  4. Roy, Sarbani; Mukherjee, Nandini: Multi-agent framework for performance-based resource management in computational grid environment (2010)
  5. Jiang, Weijin; Zhang, Lianmei; Wang, Pu: Dynamic scheduling model of computing resource based on MAS cooperation mechanism (2009)
  6. Yuan, Yingchun; Li, Xiaoping; Wang, Qian; Zhu, Xia: Deadline division-based heuristic for cost optimization in workflow scheduling (2009)
  7. Dimov, Ivan T.: Monte Carlo methods for applied scientists (2008)
  8. Ardaiz, Oscar; Artigas, Pau; Eymann, Torsten; Freitag, Felix; Navarro, Leandro; Reinicke, Michael: The catallaxy approach for decentralized economic-based allocation in grid resource and service markets (2006)
  9. Ardaiz, Oscar; Artigas, Pau; Eymann, Torsten; Freitag, Felix; Navarro, Leandro; Reinicke, Michael: The catallaxy approach for decentralized economic-based allocation in grid resource and service markets (2006)
  10. Chunlin, Li; Layuan, Li: Multi economic agent interaction for optimizing the aggregate utility of grid users in computational grid (2006)
  11. Chunlin, Li; Layuan, Li: QoS based resource scheduling by computational economy in computational grid (2006)
  12. Doğan, Atakan; Özgüner, Füsun: Scheduling of a meta-task with qos requirements in heterogeneous computing systems (2006)
  13. Li, Chunlin; Li, Layuan: Multi economic agent interaction for optimizing the aggregate utility of grid users in computational grid (2006)
  14. Yu, Jia; Buyya, Rajkumar: A taxonomy of workflow management systems for grid computing (2006)
  15. Yu, Jia; Venugopal, Srikumar; Buyya, Rajkumar: A market-oriented grid directory service for publication and discovery of grid service providers and their services (2006)
  16. Liang, Zhengqiang; Shi, Weisong: Enforcing cooperative resource sharing in untrusted P2P computing environments (2005)
  17. Nabrzyski, Jarek (ed.); Schopf, Jennifer M. (ed.); Wȩglarz, Jan (ed.): Grid resource management. State of the art and future trends (2004)
  18. Abramson, David; Buyya, Rajkumar; Giddy, Jonathan: A computational economy for grid computing and its implementation in the Nimrod-G resource broker. (2002)
  19. Baker, Mark; Buyya, Rajkumar; Laforenza, Domenico: Grids and Grid technologies for wide-area distributed computing (2002)
  20. Buyya, Rajkumar; Abramson, David; Giddy, Jonathan; Stockinger, Heinz: Economic models for resource management and scheduling in grid computing (2002)

1 2 next