• Build Systems with Go: everything a Gopher must know (2021) Link

Journal articles

  • Tirado, J.M. et al. (2014). “CONDESA: A Framework for Controlling Data Distribution on Elastic Server Architectures”. In: IEEE Transactions on Parallel and Distributed Systems.
  • Tirado, Juan M., Daniel Higuero, et al. (2010). “Affinity P2P: A self-organizing content-based locality-aware collaborative peer-to-peer network”. In: Computer Networks.
  • Higuero, D. Juan M. Tirado, J. Carretero, et al (2009). “HIDDRA: a highly independent data distribution and retrieval architecture for space observation missions”. In: Astrophysics and Space Science.

Conference proceedings

  • Galindo, José A. et al. (2016). “Exploiting the Enumeration of All Feature Model Configurations: A New Perspective with Distributed Computing”. In: International Systems and Software Product Line Conference
  • Kermarrec, Anne-Marie, Francois Taiani, and Juan M. Tirado (2015). “Scaling Out Link Prediction with SNAPLE: 1 Billion Edges and Beyond”. In: Middleware Conference.
  • Kermarrec, Anne-Marie, Francois Taïani, and Juan M. Tirado (2015). “Cheap and Cheerful: Trading Speed and Quality for Scalable Social-Recommenders”. In: Distributed Applications and Interoperable Systems.
  • Higuero, D., Juan M. Tirado, F. Isaila, et al. (2012). “Enhancing file transfer scheduling and server utilization in data distribution infrastructures”. In: Modeling, Analysis & Simulation of Computer and Telecommunication Systems.
  • Tirado, Juan M., D. Higuero, et al. (2012). “Reconciling dynamic system sizing and content locality through hierarchical workload forecasting”. In: Parallel and Distributed Systems.
  • Tirado, Juan M., Francois Taiani, et al. (2012). “Geology: Modular Georecommendation In Gossip-Based Social Networks”. In: International Conference on Distributed Computing Systems.
  • Tirado, Juan M., D. Higuero, et al. (2011a). “Analyzing the impact of events in an online music community”. In: Workshop on Social Network Systems.
  • Tirado, Juan M., D. Higuero, et al. (2011b). “Multi-model prediction for enhancing content locality in elastic server infrastructures”. In: International Conference on High Performance Computing.
  • Tirado, Juan M., D. Higuero, et al. (2011c). “Predictive Data Grouping and Placement for Cloud-based Elastic Server Infrastructures”. In: IEEE International Symposium on Cluster Computing and the Grid.

Technical reports

  • Tirado, Juan M., Ovidiu Serban, et al. (Mar. 2016). Web data knowledge extraction. Tech. rep. University of Cambridge, Computer Laboratory. Link