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 55 articles )

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  1. Zhang, Jian; Lee, Tony T.; Ye, Tong; Huang, Liang: An approximate mean queue length formula for queueing systems with varying service rate (2021)
  2. Polymath, D. H. J.: Effective approximation of heat flow evolution of the Riemann (\xi) function, and a new upper bound for the de Bruijn-Newman constant (2019)
  3. Dobrev, Stefan; Královič, Rastislav; Pardubská, Dana: Treasure hunt with barely communicating agents (2018)
  4. Fabisiak, Tomasz; Danilecki, Arkadiusz: Browser-based harnessing of voluntary computational power (2017)
  5. Sebastio, Stefano; Gnecco, Giorgio; Bemporad, Alberto: Optimal distributed task scheduling in volunteer clouds (2017)
  6. Derbeko, Philip; Dolev, Shlomi; Gudes, Ehud; Sharma, Shantanu: Security and privacy aspects in MapReduce on clouds: a survey (2016)
  7. Balint, Adrian; Belov, Anton; Järvisalo, Matti; Sinz, Carsten: Overview and analysis of the SAT challenge 2012 solver competition (2015) ioport
  8. Bethune, I.A., Gallot, Y.: Genefer: Programs for Finding Large Probable Generalized Fermat Primes (2015) not zbMATH
  9. Goldwasser, Shafi; Kalai, Yael Tauman; Rothblum, Guy N.: Delegating computation: interactive proofs for muggles (2015)
  10. Khan, Amin M.; Büyükşahin, Ümit C.; Freitag, Felix: Incentive-based resource assignment and regulation for collaborative cloud services in community networks (2015)
  11. Bertin, Rémi; Hunold, Sascha; Legrand, Arnaud; Touati, Corinne: Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization (2014) ioport
  12. Lee, Jaehwan; Keleher, Pete; Sussman, Alan: Exploiting multi-core nodes in peer-to-peer grids (2014) ioport
  13. Wang, Hui; Wang, Yun: Designing fault tolerance strategy by iterative redundancy for component-based distributed computing systems (2014)
  14. Brocco, Amos: The grid, the load and the gradient. A bio-inspired approach to load balancing (2013) ioport
  15. Christoforou, Evgenia; Fernández Anta, Antonio; Georgiou, Chryssis; Mosteiro, Miguel A.; Sánchez, Angel: Crowd computing as a cooperation problem: An evolutionary approach (2013)
  16. Fernández de Vega, Francisco; Olague, Gustavo; Trujillo, Leonardo; Lombraña González, Daniel: Customizable execution environments for evolutionary computation using BOINC + virtualization (2013) ioport
  17. Gamst, Mette; Pisinger, David: Integrated job scheduling and network routing (2013)
  18. 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
  19. 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)
  20. Villanueva-Oller, J.; Acedo, L.; Moraño, J. A.; Sánchez-Sánchez, A.: Epidemic random network simulations in a distributed computing environment (2013)

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