Innovations of the NetSolve Grid Computing System. The NetSolve Grid Computing System was first developed in the mid 1990s to provide users with seamless access to remote computational hardware and software resources. Since then, the system has benefitted from many enhancements like security services, data management faculties and distributed storage infrastructures. This article is meant to provide the reader with details regarding the present state of the project, describing the current architecture of the system, its latest innovations and other systems that make use of the NetSolve infrastructure.

References in zbMATH (referenced in 50 articles , 1 standard article )

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  1. Liu, Yinping; Yao, Ruoxia; Li, Zhibin; Yang, Le; Zhang, Zhian: An online computing and knowledge platform for differential equations (2016)
  2. Nagel, Wolfgang E. (ed.); Kröner, Dietmar B. (ed.); Resch, Michael M. (ed.): High performance computing in science and engineering ’10. Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2010. Papers presented at the 14th annual results and review workshop, Stuttgart, Germany, October 4--5, 2010. (2011)
  3. Bouziane, Hinde Lilia; Pérez, Christian; Priol, Thierry: Extending software component models with the master-worker paradigm (2010)
  4. Collignon, Tijmen P.; van Gijzen, Martin B.: Two implementations of the preconditioned conjugate gradient method on heterogeneous computing grids (2010)
  5. Collignon, Tijmen P.; Van Gijzen, Martin B.: Parallel scientific computing on loosely coupled networks of computers (2010)
  6. Drummond, L. Anthony; Galiano, Vicente; Migallón, Violeta; Penadés, Jose: Interfaces for parallel numerical linear algebra libraries in high level languages (2009)
  7. Kumar, Subodha; Dutta, Kaushik; Mookerjee, Vijay: Maximizing business value by optimal assignment of jobs to resources in grid computing (2009)
  8. Latorre, Jesús M.; Cerisola, Santiago; Ramos, Andrés; Palacios, Rafael: Analysis of stochastic problem decomposition algorithms in computational grids (2009)
  9. Montagnat, Johan; Glatard, Tristan; Campos Plasencia, Isabel; Castejón, Francisco; Pennec, Xavier; Taffoni, Giuliano; Voznesensky, Vladimir; Vuerli, Claudio: Workflow-based data parallel applications on the EGEE production grid infrastructure (2008) ioport
  10. Teodoro, George; Tavares, Tulio; Ferreira, Renato; Kurc, Tahsin; Meira, Wagner; Guedes, Dorgival; Pan, Tony; Saltz, Joel: A run-time system for efficient execution of scientific workflows on distributed environments (2008)
  11. Xhafa, Fatos; Alba, Enrique; Dorronsoro, Bernabé; Duran, Bernat: Efficient batch job scheduling in grids using cellular memetic algorithms (2008)
  12. Alt, Martin: Using algorithmic skeletons for efficient grid computing with predictable performance. (2007)
  13. 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
  14. Baduel, Laurent; Baude, Françoise; Caromel, Denis: Asynchronous typed object groups for grid programming (2007)
  15. Nakajima, Yoshihiro; Sato, Mitsuhisa; Aida, Yoshiaki; Boku, Taisuke; Cappello, Franck: Integrating computing resources on multiple grid-enabled job scheduling systems through a grid RPC system (2007) ioport
  16. Pugliese, Andrea; Talia, Domenico; Yahyapour, Ramin: Modeling and supporting grid scheduling (2007) ioport
  17. Sodhi, Sukhdeep; Subhlok, Jaspal; Xu, Qiang: Performance prediction with skeletons (2007) ioport
  18. D’Amore, Luisa; Laccetti, Giuliano; Lapegna, Marco: Block matrix multiplication in a distributed computing environment: Experiments with NetSolve (2006)
  19. Derbal, Youcef: A probabilistic scheduling heuristic for computational grids (2006)
  20. Fukuda, Munehiro; Kashiwagi, Koichi; Kobayashi, Shinya: AgentTeamwork: Coordinating grid-computing jobs with mobile agents (2006)

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