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 50 articles )

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  1. Gadioli, Davide; Vitali, Emanuele; Palermo, Gianluca; Silvano, Cristina: mARGOt: a dynamic autotuning framework for self-aware approximate computing (2019)
  2. 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) ioport
  3. Brocco, Amos; Hirsbrunner, Béat: Service provisioning for a next-generation adaptive grid (2011)
  4. Castillo, C.; Rouskas, G. N.; Harfoush, K.: Online algorithms for advance resource reservations (2011) ioport
  5. Glasner, Christian; Volkert, Jens: Adaps - A three-phase adaptive prediction system for the run-time of jobs based on user behaviour (2011) ioport
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  7. Altameem, T.; Amoon, M.: An agent-based approach for dynamic adjustment of scheduled jobs in computational grids (2010) ioport
  8. Tao, Fei; Hu, Yefa; Zhao, Dongming; Zhou, Zude: Study of failure detection and recovery in manufacturing grid resource service scheduling (2010)
  9. Kumar, Subodha; Dutta, Kaushik; Mookerjee, Vijay: Maximizing business value by optimal assignment of jobs to resources in grid computing (2009)
  10. Roy, Sarbani; Mukherjee, Nandini: Adaptive execution of jobs in computational grid environment (2009) ioport
  11. Sulistio, Anthony; Cibej, Uros; Prasad, Sushil K.; Buyya, Rajkumar: GarQ: An efficient scheduling data structure for advance reservations of grid resources (2009)
  12. Waldburger, Martin; Göhner, Matthias; Reiser, Helmut; Rodosek, Gabi Dreo; Stiller, Burkhard: Evaluation of an accounting model for dynamic virtual organizations (2009) ioport
  13. Wu, Qishi; Zhu, Mengxia; Rao, Nageswara S. V.: Integration of sensing and computing in an intelligent decision support system for homeland security defense (2009) ioport
  14. Wu, Xiaoxin; Pei, Guodong: Collaborative graphic rendering for improving visual experience (2009)
  15. Rahman, Rashedur M.; Alhajj, Reda; Barker, Ken: Replica selection strategies in data grid (2008)
  16. Tan, Jefferson; Abramson, David; Enticott, Colin: REMUS: A rerouting and multiplexing system for grid connectivity across firewalls (2008) ioport
  17. Tserpes, Konstantinos; Kyriazis, Dimosthenis; Menychtas, Andreas; Varvarigou, Theodora: A novel mechanism for provisioning of high-level quality of service information in grid environments (2008)
  18. Xhafa, Fatos; Alba, Enrique; Dorronsoro, Bernabé; Duran, Bernat: Efficient batch job scheduling in grids using cellular memetic algorithms (2008)
  19. Agarwalla, Bikash; Ahmed, Nova; Hilley, David; Ramachandran, Umakishore: Streamline: scheduling streaming applications in a wide area environment (2007) ioport
  20. 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) ioport

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