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Research

Professor Peter Garraghan

Professor in Distributed Systems

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  1. Published

    An approach for characterizing workloads in Google Cloud to derive realistic resource utilization models

    Moreno, I. S., Garraghan, P. & Townend, P., 10/06/2013, 2013 IEEE 7th International Symposium on Service Oriented System Engineering (SOSE). IEEE, p. 49-60 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  2. Published

    PRISM: An Experiment Framework for Straggler Analytics in Containerized Clusters

    Lindsay, D., Gill, S. & Garraghan, P., 1/12/2019, WoC 2019 Fifth International Workshop on Container Technologies and Container Clouds. ACM, p. 13-18 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. 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/Magazine › Journal article › peer-review

  4. 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/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Holistic virtual machine scheduling in cloud datacenters towards minimizing total energy

    Li, X., Garraghan, P., Jiang, X., Wu, Z. & Xu, J., 1/06/2018, In: IEEE Transactions on Parallel and Distributed Systems. 29, 6, p. 1317-1331 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    Holistic energy and failure aware workload scheduling in Cloud datacenters

    Li, X., Jiang, X., Garraghan, P. & Wu, Z., 01/2018, In: Future Generation Computer Systems. 78, 3, p. 887-900 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Fault-tolerant dynamic deduplication for utility computing

    Leesakul, W., Townend, P. & Garraghan, P., 18/09/2014, 2014 IEEE 17th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing. IEEE, p. 397-404 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Forthcoming

    Energy-adaptive Network Switching via Intra-device Scaling

    Hodkin, M., Krug, L. & Garraghan, P., 17/01/2024, (Accepted/In press) Proceedings of the IEEE International Conference on Communications: Scaling the Peaks of Global Communications. IEEE, 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-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. abs/2209.06300, 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  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.

    Research output: Contribution to Journal/Magazine › Journal article

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