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Distributed Systems

  1. 2020
  2. Published

    A Survey of Methodology in Self-Adaptive Systems Research

    Porter, B., Rodrigues Filho, R. & Dean, P., 15/09/2020, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE, p. 168-177 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. Published

    Autonomous State-Management Support in Distributed Self-adaptive Systems

    Rodrigues Filho, R. & Porter, B., 15/09/2020, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). IEEE, p. 176-181 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. Published

    An Ontological Architecture for Principled and Automated System of Systems Composition

    Elhabbash, A., Nundloll, V., Elkhatib, Y., Blair, G. & Sanz Marco, V., 29/06/2020, 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. ACM, p. 85–95 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  5. Published

    Performance Optimization on big.LITTLE Architectures: A Memory-latency Aware Approach

    Wolff, W. & Porter, B., 1/06/2020, LCTES '20: The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems. New York: ACM, p. 51–61 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  6. Forthcoming

    A cloud gaming framework for dynamic graphical rendering towards achieving distributed game engines

    Bulman, J. & Garraghan, P., 1/05/2020, (Accepted/In press) The 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '20).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. Forthcoming

    Towards GPU Utilization Prediction for Cloud Deep Learning

    Yeung, G-F., Borowiec, D., Friday, A., Harper, R. H. R. & Garraghan, P., 1/05/2020, (Accepted/In press) The 12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '20). USENIX Association

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  8. Published

    A Large Ensemble Approach to Quantifying Internal Model Variability Within the WRF Numerical Model

    Bassett, R., Young, P., Blair, G., Samreen, F. & Simm, W., 16/04/2020, In: Journal of Geophysical Research. 125, 7, 14 p., e2019JD031286.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Forthcoming

    Heat energy from datacenters: an opportunity for marine energy

    Terenius, P., Golmen, L. G., Garraghan, P. & Harper, R. H. R., 26/02/2020, (Accepted/In press). 3 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paper

  10. Published

    Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection

    Sanz Marco, V., Taylor, B., Wang, Z. & Elkhatib, Y., 1/02/2020, In: ACM Transactions on Embedded Computing. 19, 1, 28 p., 2.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 2019
  12. Published

    SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud applications

    Elhabbash, A., Jumagaliyev, A., Blair, G. & Elkhatib, Y., 1/12/2019, Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing. IEEE/ACM, p. 241–250 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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