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Distributed Systems

  1. 2024
  2. E-pub ahead of print

    Principled and automated system of systems composition using an ontological architecture

    Elhabbash, A., Elkhatib, Y., Nundloll, V., Sanz Marco, V. & Blair, G. S., 31/08/2024, In: Future Generation Computer Systems. 157, p. 499-515 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 2023
  4. Published

    DOPpler: Parallel Measurement Infrastructure for Auto-tuning Deep Learning Tensor Programs

    Borowiec, D., Yeung, G-F., Friday, A., Harper, R. H. R. & Garraghan, P., 31/07/2023, In: IEEE Transactions on Parallel and Distributed Systems. 34, 7, p. 2208-2220 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published
  6. 2022
  7. Forthcoming

    Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters

    Borowiec, D., Yeung, G-F., Friday, A., Harper, R. H. R. & Garraghan, P., 11/05/2022, (Accepted/In press) IEEE International Conference on Cloud Computing. CLOUD 22. IEEE

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

  8. E-pub ahead of print

    Hatch: Self-Distributing Systems for Data Centers

    Rodrigues Filho, R. & Porter, B., 18/02/2022, (E-pub ahead of print) In: Future Generation Computer Systems. 132, p. 80-92 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems

    Yeung, G-F., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 31/01/2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 1, p. 88-100 13 p., 21015055.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. 2021
  11. Published

    Old-growth forest loss and secondary forest recovery across Amazonian countries

    Smith, C. C., Healey, J. R., De Berenguer Cesar, E., Young, P., Taylor, B., Elias, F., Espirito-Santo, F. & Barlow, J., 4/08/2021, In: Environmental Research Letters. 16, 8, 14 p., 085009.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. 2020
  13. Published

    Efficient deep neural network inference for embedded systems: A mixture of experts approach

    Taylor, B., 22/11/2020, Lancaster University. 172 p.

    Research output: ThesisDoctoral Thesis

  14. Published
  15. Published

    Horus: An Interference-aware Resource Manager for Deep Learning Systems

    Yeung, G., Borowiec, D., Yang, R., Friday, A., Harper, R. H. R. & Garraghan, P., 29/09/2020, Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Qiu, M. (ed.). Springer, p. 492-508 17 p. (Lecture Notes in Computer Science; vol. 12453).

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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 2019
  26. 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

  27. Published

    A Modelling Language to Support Evolution of Multi-Tenant Cloud Data Architectures

    Jumagaliyev, A. & Elkhatib, Y., 21/11/2019, Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019. IEEE, p. 139-149 11 p.

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

  28. Published

    Auto-tuning MPI Collective Operations on Large-Scale Parallel Systems

    Zheng, W., Fang, J., Chen, J., Pan, X., Wang, H., Huang, C., Sun, X., Tang, T. & Wang, Z., 3/10/2019, The 21st IEEE International Conference on High Performance Computing and Communications. IEEE, p. 670-677 8 p.

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

  29. Published

    CadaML: A Modeling Language for Multi-Tenant Cloud Application Data Architectures

    Jumagaliyev, A. & Elkhatib, Y., 29/08/2019, 2019 IEEE 12th International Conference on Cloud Computing (CLOUD). IEEE, p. 430-434 5 p.

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

  30. Published

    Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

    Wu, Y., Liu, X., Feng, Y., Wang, Z., Yan, R. & Zhao, D., 31/07/2019, The 28th International Joint Conference on Artificial Intelligence (IJCAI). IJCAI, p. 5278-5284 7 p.

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

  31. Published

    Sensing Our World Using Wireless Signals

    Chen, X., Chen, L., Feng, C., Fang, D., Xiong, J., Cui, Y. & Wang, Z., 19/07/2019, In: IEEE Internet Computing. 23, 3, p. 38-45 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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