Nimrod/G is a Grid and Cloud aware version of the Nimrod distributed computing middleware (part of the Nimrod toolkit). Nimrod/G can directly execute large-scale distributed parameter sweep and Monte-Carlo computational experiments. Nimrod/G provides a simple means to dramatically scale-up your computational experiments. Each experiment can run over an aggregated ad-hoc computational grid/pool/cloud; start from your desktop, local server or cluster; add grid resources (e.g. clusters and Condor pools); overflow to pay-as-go cloud services and control your budget with Nimrod/G’s economic scheduling capabilities. Whilst initially oriented towards embarrassingly parallel computations Nimrod/G also provides general purpose loosely-coupled execution services. The architecture is extensible and can support and encapsulate 3rd-party software and services which themselves expose a computational back-end, examples include: grid-middleware (such as Legion, Condor and NetSolve), infrastructure (such as Amazon EC2, IBM Cloud, VMware vCloud) and platform (such as Microsoft Azure) services.

References in zbMATH (referenced in 40 articles )

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  1. Lerida, Josep L.; Solsona, Francesc; Hernandez, Porfidio; Gine, Francesc; Hanzich, Mauricio; Conde, Josep: State-based predictions with self-correction on enterprise desktop grid environments (2013)
  2. Castillo, C.; Rouskas, G.N.; Harfoush, K.: Online algorithms for advance resource reservations (2011)
  3. Glasner, Christian; Volkert, Jens: Adaps - A three-phase adaptive prediction system for the run-time of jobs based on user behaviour (2011)
  4. Konovalov, M.G.; Malashenko, Yu.E.; Nazarova, I.A.: Job control in heterogeneous computing systems (2011)
  5. Altameem, T.; Amoon, M.: An agent-based approach for dynamic adjustment of scheduled jobs in computational grids (2010)
  6. Kumar, Subodha; Dutta, Kaushik; Mookerjee, Vijay: Maximizing business value by optimal assignment of jobs to resources in grid computing (2009)
  7. Roy, Sarbani; Mukherjee, Nandini: Adaptive execution of jobs in computational grid environment (2009)
  8. Waldburger, Martin; Göhner, Matthias; Reiser, Helmut; Rodosek, Gabi Dreo; Stiller, Burkhard: Evaluation of an accounting model for dynamic virtual organizations (2009)
  9. Wu, Qishi; Zhu, Mengxia; Rao, Nageswara S.V.: Integration of sensing and computing in an intelligent decision support system for homeland security defense (2009)
  10. Rahman, Rashedur M.; Alhajj, Reda; Barker, Ken: Replica selection strategies in data grid (2008)
  11. Tan, Jefferson; Abramson, David; Enticott, Colin: REMUS: A rerouting and multiplexing system for grid connectivity across firewalls (2008)
  12. Tserpes, Konstantinos; Kyriazis, Dimosthenis; Menychtas, Andreas; Varvarigou, Theodora: A novel mechanism for provisioning of high-level quality of service information in grid environments (2008)
  13. Xhafa, Fatos; Alba, Enrique; Dorronsoro, Bernabé; Duran, Bernat: Efficient batch job scheduling in grids using cellular memetic algorithms (2008)
  14. Agarwalla, Bikash; Ahmed, Nova; Hilley, David; Ramachandran, Umakishore: Streamline: scheduling streaming applications in a wide area environment (2007)
  15. Antoniu, Gabriel; Bouziane, Hinde Lilia; Jan, Mathieu; Pérez, Christian; Priol, Thierry: Combining data sharing with the master-worker paradigm in the common component architecture (2007)
  16. McClatchey, Richard; Anjum, Ashiq; Stockinger, Heinz; Ali, Arshad; Willers, Ian; Thomas, Michael: Data intensive and network aware (DIANA) grid scheduling (2007)
  17. Rahman, Massimo Erwin Rashedur M.; Barker, Ken; Alhajj, Reda: Replica placement strategies in data grid (2007)
  18. Sodhi, Sukhdeep; Subhlok, Jaspal; Xu, Qiang: Performance prediction with skeletons (2007)
  19. Walker, Edward; Gardner, Jeffrey P.; Litvin, Vladimir; Turner, Evan L.: Personal adaptive clusters as containers for scientific jobs (2007)
  20. Chao, Kuo-Ming; Younas, Muhammad; Godwin, Nick; Sun, Pen-Choug: Using automated negotiation for grid services (2006)

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