Peter Garraghan - Publications & Outputs - Research Portal

Professor Peter Garraghan

Professor in Distributed Systems

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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
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
Published
Performance-aware Speculative Resource Oversubscription for Large-scale Clusters
Yang, R., Sun, X., Hu, C., Garraghan, P., Wo, T., Wen, Z., Peng, H., Xu, J. & Li, C., 28/01/2020, In: IEEE Transactions on Parallel and Distributed Systems. 31, 7, p. 1499-1517 19 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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/Magazine › Journal article › peer-review
Published
Multi-tenancy in cloud computing
AlJahdali, H., Albatli, A., Garraghan, P., Townend, P., Lau, L. & Xu, J., 12/06/2014, 2014 IEEE 8th International Symposium on Service Oriented System Engineering (SOSE). IEEE, p. 344-351 8 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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 paper › peer-review
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/Magazine › Journal article › peer-review
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/Magazine › Journal article › peer-review
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/ISSN › Conference contribution/Paper › peer-review
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/Magazine › Journal article › peer-review
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
Published
Holistic Resource Management for Sustainable and Reliable Cloud Computing: An Innovative Solution to Global Challenge
Gill, S. S., Garraghan, P., Stankovski, V., Casale, G., Thulasiram, R. K., Ghosh, S. K., Ramamohanarao, K. & Buyya, R., 1/09/2019, In: Journal of Systems and Software. 155, p. 104-129 26 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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
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
Published
Fog Orchestration for Internet of Things Services
Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J. & Rovatsos, M., 1/03/2017, In: IEEE Internet Computing. 21, 2, p. 16-24 9 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Published
Fog Orchestration and Simulation for IoT Services
Yang, R., Wen, Z., McKee, D., Lin, T., Xu, J. & Garraghan, P., 1/03/2020, Fog and Fogonomics: Challenges and Practices of Fog Computing, Networking, Strategy, and Economics. Yang, Y., Huang, J., Zhang, T. & Weinman, J. (eds.). Wiley, p. 179-212 34 p.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
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
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/Magazine › Journal article › peer-review
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
Published
Emergent Failures: Rethinking Cloud Reliability at Scale
Garraghan, P., Yang, R., Wen, Z., Romanovsky, A., Xu, J., Buyya, R. & Ranjan, R., 18/10/2018, In: IEEE Cloud Computing. 5, 5, p. 12-21 10 p.
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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/Magazine › Journal article › peer-review
Published
Dependability in federated cloud environments
Garraghan, P., Townend, P. & Xu, J., 26/09/2011.
Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review
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/Magazine › Journal article › peer-review
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/ISSN › Conference contribution/Paper › peer-review
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 paper › peer-review

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Research

Professor Peter Garraghan

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

Pinch: An Adversarial Extraction Attack Framework for Deep Learning Models

Performance-aware Speculative Resource Oversubscription for Large-scale Clusters

Novel Strategies for Data Centre Waste Heat Use

Multi-tenancy in cloud computing

Model Leeching: An Extraction Attack Targeting LLMs

Integrating Clustering and Regression for Workload Estimation in the Cloud

HUNTER: AI based holistic resource management for sustainable cloud

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

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

Holistic virtual machine scheduling in cloud datacenters towards minimizing total energy

Holistic Resource Management for Sustainable and Reliable Cloud Computing: An Innovative Solution to Global Challenge

Holistic energy and failure aware workload scheduling in Cloud datacenters

Heat energy from datacenters: an opportunity for marine energy

Fog Orchestration for Internet of Things Services

Fog Orchestration and Simulation for IoT Services

Fault-tolerant dynamic deduplication for utility computing

Environmental Consequence of Deep Learning

Energy-adaptive Network Switching via Intra-device Scaling

Emergent Failures: Rethinking Cloud Reliability at Scale

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

Dependability in federated cloud environments

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

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

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

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