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Professor Peter Garraghan

Professor in Distributed Systems

  1. 2023
  2. Published

    Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization

    Trawicki, S., Hackett, W., Birch, L., Suri, N. & Garraghan, P., 20/10/2023. 2 p.

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

  3. Published

    Model Leeching: An Extraction Attack Targeting LLMs

    Birch, L., Hackett, W., Trawicki, S., Suri, N. & Garraghan, P., 20/10/2023.

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

  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

    START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks

    Tuli, S., Singh Gill, S., Garraghan, P., Buyya, R., Casale, G. & Jennings, N. R., 31/01/2023, In: IEEE Transactions on Services Computing. 16, 1, p. 615-627 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    A material social view on data center waste heat: Novel uses and metrics

    Terenius, P., Garraghan, P. & Harper, R., 25/01/2023, In: Frontiers in Sustainability. 3, p. 1-22 22 p., 1008583.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. 2022
  8. Forthcoming

    Novel Strategies for Data Centre Waste Heat Use

    Terenius, P., Garraghan, P. & Harper, R. H. R., 22/11/2022, (Accepted/In press) In: AIP Conference Proceedings. 6 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    Pinch: An Adversarial Extraction Attack Framework for Deep Learning Models

    Hackett, W., Trawicki, S., Yu, Z., Suri, N. & Garraghan, P., 13/09/2022, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal article

  10. Published

    PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.

    Hackett, W., Trawicki, S., Yu, Z., Suri, N. & Garraghan, P., 13/09/2022, In: arXiv. abs/2209.06300, 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. 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

  12. Published

    HUNTER: AI based holistic resource management for sustainable cloud

    Tuli, S., Singh Gill, S., Xu, M., Garraghan, P., Bahsoon, R., Dustdar, S., Sakellariou, R., Rana, O., Casale, G. & Jennings, N. R., 28/02/2022, In: Journal of Systems and Software. 184, 111124.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. 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

  14. Published

    TRACTOR: Traffic‐aware and power‐efficient virtual machine placement in edge‐cloud data centers using artificial bee colony optimization

    Shahab Nabavi, S., Singh Gill, S., Xu, M., Masdari, M. & Garraghan, P., 31/01/2022, In: International Journal of Communication Systems. 35, 1, 21 p., e4747.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  15. Published

    Environmental Consequence of Deep Learning

    Borowiec, D., Harper, R. H. R. & Garraghan, P., 11/01/2022, In: ITNOW. 63, 4, p. 10-11 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. 2021
  17. Published

    Controller-in-the-Middle: Attacks on Software Defined Networks in Industrial Control Systems

    Gardiner, J., Eiffert, A., Garraghan, P., Race, N., Nagaraja, S. & Rashid, A., 30/11/2021, CPSIoTSec '21: Proceedings of the 2th Workshop on CPS&IoT Security and Privacy. New York: ACM, p. 63-68 6 p. ( Joint Workshop on CPS & IoT Security and Privacy (CPSIoTSec)).

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

  18. Published

    An Empirical Study of Inter-cluster Resource Orchestration within Federated Cloud Clusters

    Lindsay, D., Yeung, G-F., Elkhatib, Y. & Garraghan, P., 13/10/2021, 2021 IEEE International Conference on Joint Cloud Computing (JCC). IEEE, 7 p.

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

  19. Published

    The evolution of distributed computing systems: from fundamental to new frontiers

    Lindsay, D., Singh Gill, S., Smirnova, D. & Garraghan, P., 31/08/2021, In: Computing. 103, 8, p. 1859-1878 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. 2020
  21. Published

    Integrating Clustering and Regression for Workload Estimation in the Cloud

    Yu, Y., Jindal, V., Yen, I-L., Bastani, F., Xu, J. & Garraghan, P., 10/12/2020, In: Concurrency and Computation Practice and Experience. 32, 23, 20 p., e5931.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Published

    Tails in the cloud: a survey and taxonomy of straggler management within large‑scale cloud data centres

    Singh Gill, S., Ouyang, X. & Garraghan, P., 1/12/2020, In: Journal of Supercomputing. 76, p. 10050–10089 40 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  23. Published
  24. E-pub ahead of print

    Cross-VM Network Channel Attacks and Countermeasures within Cloud Computing Environments

    Saeed, A., Garraghan, P. & Asad Hussain, S., 10/11/2020, (E-pub ahead of print) In: IEEE Transactions on Dependable and Secure Computing. 19, 3, p. 1783-1794 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. 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

  26. Published

    ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

    Gill, S. S., Tuli, S., Toosi, A. N., Cuadrado, F., Garraghan, P., Bahsoon, R., Lutfiyya, H., Sakellariou, R., Rana, O., Dustdar, S. & Buyya, R., 1/08/2020, In: Journal of Systems and Software. 166, 20 p., 110596.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  27. 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

  28. 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

  29. Published

    Software-Defined Fog Orchestration for IoT Services

    Yang, R., Wen, Z., McKee, D., Lin, T., Xu, J. & Garraghan, P., 4/03/2020, Fog and Fogonomics: Challenges and Practices of Fog Computing, Communication, Networking, Strategy, and Economics. Yang, Y., Huang, J., Zhang, T. & Weinman, J. (eds.). John Wiley, p. 179-212 34 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

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