BOINC

BOINC: a system for public-resource computing and storage. BOINC (Berkeley Open Infrastructure for Network Computing) is a software system that makes it easy for scientists to create and operate public-resource computing projects. It supports diverse applications, including those with large storage or communication requirements. PC owners can participate in multiple BOINC projects, and can specify how their resources are allocated among these projects. We describe the goals of BOINC, the design issues that we confronted, and our solutions to these problems.


References in zbMATH (referenced in 46 articles )

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  1. Fabisiak, Tomasz; Danilecki, Arkadiusz: Browser-based harnessing of voluntary computational power (2017)
  2. Derbeko, Philip; Dolev, Shlomi; Gudes, Ehud; Sharma, Shantanu: Security and privacy aspects in MapReduce on clouds: a survey (2016)
  3. Balint, Adrian; Belov, Anton; Järvisalo, Matti; Sinz, Carsten: Overview and analysis of the SAT challenge 2012 solver competition (2015) ioport
  4. Khan, Amin M.; Büyükşahin, Ümit C.; Freitag, Felix: Incentive-based resource assignment and regulation for collaborative cloud services in community networks (2015)
  5. Bertin, Rémi; Hunold, Sascha; Legrand, Arnaud; Touati, Corinne: Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization (2014) ioport
  6. Lee, Jaehwan; Keleher, Pete; Sussman, Alan: Exploiting multi-core nodes in peer-to-peer grids (2014) ioport
  7. Brocco, Amos: The grid, the load and the gradient. A bio-inspired approach to load balancing (2013) ioport
  8. Christoforou, Evgenia; Fernández Anta, Antonio; Georgiou, Chryssis; Mosteiro, Miguel A.; Sánchez, Angel: Crowd computing as a cooperation problem: An evolutionary approach (2013)
  9. Fernández de Vega, Francisco; Olague, Gustavo; Trujillo, Leonardo; Lombraña González, Daniel: Customizable execution environments for evolutionary computation using BOINC + virtualization (2013) ioport
  10. Gamst, Mette; Pisinger, David: Integrated job scheduling and network routing (2013)
  11. Javadi, Bahman; Kondo, Derrick; Iosup, Alexandru; Epema, Dick: The failure trace archive: enabling the comparison of failure measurements and models of distributed systems (2013) ioport
  12. Juan, Angel A.; Faulin, Javier; Jorba, Josep; Caceres, Jose; Marquès, Joan Manuel: Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands (2013)
  13. Villanueva-Oller, J.; Acedo, L.; Moraño, J.A.; Sánchez-Sánchez, A.: Epidemic random network simulations in a distributed computing environment (2013)
  14. Chmaj, Grzegorz; Walkowiak, Krzysztof; Tarnawski, Michał; Kucharzak, Michał: Heuristic algorithms for optimization of task allocation and result distribution in peer-to-peer computing systems (2012) ioport
  15. Lázaro, Daniel; Kondo, Derrick; Marquès, Joan Manuel: Long-term availability prediction for groups of volunteer resources (2012) ioport
  16. Muszyński, Jakub; Varrette, Sébastien; Bouvry, Pascal; Seredyński, Franciszek; Khan, Samee U.: Convergence analysis of evolutionary algorithms in the presence of crash-faults and cheaters (2012)
  17. Strunk, Timo; Wolf, Moritz; Wenzel, Wolfgang: Peptide structure prediction using distributed volunteer computing networks (2012)
  18. Araujo, Filipe; Farinha, Jorge; Domingues, Patricio; Silaghi, Gheorghe Cosmin; Kondo, Derrick: A maximum independent set approach for collusion detection in voting pools (2011) ioport
  19. Przewozniczek, Michal; Walkowiak, Krzysztof; Wozniak, Michal: Optimizing distributed computing systems for $k$-nearest neighbours classifiers -- evolutionary approach (2011) ioport
  20. Wang, Ji; Shen, Rui; Wang, Huai-Min: A programming language approach to internet-based virtual computing environment (2011) ioport

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