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ORCIDPeter Garraghan
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- affiliation: Lancaster University, UK
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2020 – today
- 2025
[i10]Hamid Nasiri, Peter Garraghan:
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition. CoRR abs/2501.12067 (2025)- [i9]Marta Adamska, Daria Smirnova, Hamid Nasiri, Zhengxin Yu, Peter Garraghan:
Green Prompting. CoRR abs/2503.10666 (2025) - 2024
- [c26]Matthew Alexander Hodkin, Louise Krug, Peter Garraghan:
Energy-adaptive Network Switching via Intra-device Scaling. ICC 2024: 2853-2858 - [i8]Peter Garraghan, John Hutchinson, Adrian Friday:
ICT Sector Greenhouse Gas Emissions - Issues and Trends. CoRR abs/2410.17388 (2024) - 2023
- [j25]Damian Borowiec
, Gingfung Yeung, Adrian Friday, Richard Harper, Peter Garraghan:
DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs. IEEE Trans. Parallel Distributed Syst. 34(7): 2208-2220 (2023) - [j24]Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks. IEEE Trans. Serv. Comput. 16(1): 615-627 (2023) - [c25]Lewis Birch, William Hackett, Stefan Trawicki, Neeraj Suri, Peter Garraghan:
Model Leeching: An Extraction Attack Targeting LLMs. CAMLIS 2023: 91-104 - [i7]Lewis Birch, William Hackett, Stefan Trawicki, Neeraj Suri, Peter Garraghan:
Model Leeching: An Extraction Attack Targeting LLMs. CoRR abs/2309.10544 (2023) - [i6]Stefan Trawicki, William Hackett, Lewis Birch, Neeraj Suri, Peter Garraghan:
Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization. CoRR abs/2309.16577 (2023) - 2022
- [j23]Sayyid Shahab Nabavi, Sukhpal Singh Gill, Minxian Xu, Mohammad Masdari, Peter Garraghan:
TRACTOR: Traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization. Int. J. Commun. Syst. 35(1) (2022) - [j22]Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
HUNTER: AI based holistic resource management for sustainable cloud computing. J. Syst. Softw. 184: 111124 (2022) - [j21]Atif Saeed, Peter Garraghan, Syed Asad Hussain:
Cross-VM Network Channel Attacks and Countermeasures Within Cloud Computing Environments. IEEE Trans. Dependable Secur. Comput. 19(3): 1783-1794 (2022) - [j20]Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan:
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems. IEEE Trans. Parallel Distributed Syst. 33(1): 88-100 (2022) - [c24]Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard H. R. Harper, Peter Garraghan:
Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters. CLOUD 2022: 374-384 - [i5]William Hackett, Stefan Trawicki, Zhengxin Yu, Neeraj Suri, Peter Garraghan:
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models. CoRR abs/2209.06300 (2022) - 2021
- [j19]Dominic Lindsay, Sukhpal Singh Gill, Daria Smirnova, Peter Garraghan:
The evolution of distributed computing systems: from fundamental to new frontiers. Computing 103(8): 1859-1878 (2021) - [c23]Joseph Gardiner, Adam Eiffert, Peter Garraghan, Nicholas J. P. Race, Shishir Nagaraja, Awais Rashid:
Controller-in-the-Middle: Attacks on Software Defined Networks in Industrial Control Systems. CPSIOTSEC@CCS 2021: 63-68 - [i4]Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing. CoRR abs/2110.05529 (2021) - [i3]Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks. CoRR abs/2111.10241 (2021) - 2020
- [j18]Yongjia Yu, Vasu Jindal, I-Ling Yen, Farokh B. Bastani, Jie Xu, Peter Garraghan:
Integrating clustering and regression for workload estimation in the cloud. Concurr. Comput. Pract. Exp. 32(23) (2020) - [j17]Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Félix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer F. Rana, Schahram Dustdar, Rajkumar Buyya:
ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments. J. Syst. Softw. 166: 110596 (2020) - [j16]Sukhpal Singh Gill, Xue Ouyang, Peter Garraghan:
Tails in the cloud: a survey and taxonomy of straggler management within large-scale cloud data centres. J. Supercomput. 76(12): 10050-10089 (2020) - [j15]Renyu Yang, Chunming Hu, Xiaoyang Sun, Peter Garraghan, Tianyu Wo, Zhenyu Wen, Hao Peng, Jie Xu, Chao Li:
Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters. IEEE Trans. Parallel Distributed Syst. 31(7): 1499-1517 (2020) - [c22]James Bulman, Peter Garraghan:
A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines. HotCloud 2020 - [c21]Gingfung Yeung, Damian Borowiec, Adrian Friday, Richard Harper, Peter Garraghan:
Towards GPU Utilization Prediction for Cloud Deep Learning. HotCloud 2020 - [c20]Gingfung Yeung, Damian Borowiec, Renyu Yang, Adrian Friday, Richard Harper, Peter Garraghan:
Horus: An Interference-Aware Resource Manager for Deep Learning Systems. ICA3PP (2) 2020: 492-508 - [i2]Sukhpal Singh Gill, Shreshth Tuli, Adel Nadjaran Toosi, Félix Cuadrado, Peter Garraghan, Rami Bahsoon, Hanan Lutfiyya, Rizos Sakellariou, Omer F. Rana, Schahram Dustdar, Rajkumar Buyya:
ThermoSim: Deep Learning based Framework for Modeling and Simulation of Thermal-aware Resource Management for Cloud Computing Environments. CoRR abs/2004.08131 (2020)
2010 – 2019
- 2019
- [j14]Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan:
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet Things 8 (2019) - [j13]Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya:
ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices. J. Syst. Softw. 154: 125-138 (2019) - [j12]Sukhpal Singh Gill, Peter Garraghan, Vlado Stankovski, Giuliano Casale, Ruppa K. Thulasiram, Soumya K. Ghosh, Kotagiri Ramamohanarao, Rajkumar Buyya:
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. J. Syst. Softw. 155: 104-129 (2019) - [j11]Peter Garraghan, Xue Ouyang, Renyu Yang, David McKee, Jie Xu:
Straggler Root-Cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters. IEEE Trans. Serv. Comput. 12(1): 91-104 (2019) - [c19]Dominic Lindsay, Sukhpal Singh Gill, Peter Garraghan:
PRISM: An Experiment Framework for Straggler Analytics in Containerized Clusters. WOC@Middleware 2019: 13-18 - [i1]Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain, Haris Pervaiz, Bhanu Sehgal, Sukhwinder Singh Kaila, Sanjay Misra, Mohammad Sadegh Aslanpour, Harshit Mehta, Vlado Stankovski, Peter Garraghan:
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. CoRR abs/1911.01941 (2019) - 2018
- [j10]Peter Garraghan, Renyu Yang, Zhenyu Wen, Alexander B. Romanovsky, Jie Xu, Rajkumar Buyya, Rajiv Ranjan:
Emergent Failures: Rethinking Cloud Reliability at Scale. IEEE Cloud Comput. 5(5): 12-21 (2018) - [j9]Xiang Li, Xiaohong Jiang, Peter Garraghan, Zhaohui Wu:
Holistic energy and failure aware workload scheduling in Cloud datacenters. Future Gener. Comput. Syst. 78: 887-900 (2018) - [j8]Xue Ouyang, Peter Garraghan, Bernhard Primas, David McKee, Paul Townend, Jie Xu:
Adaptive Speculation for Efficient Internetware Application Execution in Clouds. ACM Trans. Internet Techn. 18(2): 15:1-15:22 (2018) - [j7]Xiang Li, Peter Garraghan, Xiaohong Jiang, Zhaohui Wu, Jie Xu:
Holistic Virtual Machine Scheduling in Cloud Datacenters towards Minimizing Total Energy. IEEE Trans. Parallel Distributed Syst. 29(6): 1317-1331 (2018) - [c18]Atif Saeed, Peter Garraghan, Barnaby Craggs, Dirk van der Linden, Awais Rashid, Syed Asad Hussain:
A Cross-Virtual Machine Network Channel Attack via Mirroring and TAP Impersonation. IEEE CLOUD 2018: 606-613 - [c17]Xiaoyang Sun, Chunming Hu, Renyu Yang, Peter Garraghan, Tianyu Wo, Jie Xu, Jianyong Zhu, Chao Li:
ROSE: Cluster Resource Scheduling via Speculative Over-Subscription. ICDCS 2018: 949-960 - 2017
- [j6]Zhenyu Wen, Renyu Yang, Peter Garraghan, Tao Lin, Jie Xu, Michael Rovatsos:
Fog Orchestration for Internet of Things Services. IEEE Internet Comput. 21(2): 16-24 (2017) - [j5]Renyu Yang, Yang Zhang, Peter Garraghan, Yihui Feng, Jin Ouyang, Jie Xu, Zhuo Zhang, Chao Li:
Reliable Computing Service in Massive-Scale Systems through Rapid Low-Cost Failover. IEEE Trans. Serv. Comput. 10(6): 969-983 (2017) - [c16]Bernhard Primas, Peter Garraghan, David McKee, Jon Summers, Jie Xu:
A Framework and Task Allocation Analysis for Infrastructure Independent Energy-Efficient Scheduling in Cloud Data Centers. CloudCom 2017: 178-185 - 2016
- [j4]Peter Garraghan, David McKee, Xue Ouyang, David Webster, Jie Xu:
SEED: A Scalable Approach for Cyber-Physical System Simulation. IEEE Trans. Serv. Comput. 9(2): 199-212 (2016) - [c15]Xue Ouyang, Peter Garraghan, Changjian Wang, Paul Townend, Jie Xu:
An Approach for Modeling and Ranking Node-Level Stragglers in Cloud Datacenters. SCC 2016: 673-680 - [c14]Xue Ouyang, Peter Garraghan, David McKee, Paul Townend, Jie Xu:
Straggler Detection in Parallel Computing Systems through Dynamic Threshold Calculation. AINA 2016: 414-421 - [c13]Zhaohui Wu, Xiang Li, Peter Garraghan, Xiaohong Jiang, Kejiang Ye, Albert Y. Zomaya:
Virtual Machine Level Temperature Profiling and Prediction in Cloud Datacenters. ICDCS 2016: 735-736 - [c12]Peter Garraghan, Stuart Perks, Xue Ouyang, David McKee, Ismael Solís Moreno:
Tolerating Transient Late-Timing Faults in Cloud-Based Real-Time Stream Processing. ISORC 2016: 108-115 - [c11]Peter Garraghan, Yaser Al-Anii, Jon Summers, Harvey Thompson, Nik Kapur, Karim Djemame:
A unified model for holistic power usage in cloud datacenter servers. UCC 2016: 11-19 - [c10]Bernhard Primas, Peter Garraghan, Karim Djemame, Natalia V. Shakhlevich:
Resource boxing: converting realistic cloud task utilization patterns for theoretical scheduling. UCC 2016: 138-147 - 2015
- [c9]Jemishkumar Patel, Vasu Jindal, I-Ling Yen, Farokh B. Bastani, Jie Xu, Peter Garraghan:
Workload Estimation for Improving Resource Management Decisions in the Cloud. ISADS 2015: 25-32 - [c8]Peter Garraghan, Xue Ouyang, Paul Townend, Jie Xu:
Timely Long Tail Identification through Agent Based Monitoring and Analytics. ISORC 2015: 19-26 - 2014
- [b1]Peter Michael Garraghan:
Holistic cloud computing environmental quantification and behavioural analysis. University of Leeds, UK, 2014 - [j3]Ismael Solís Moreno, Peter Garraghan, Paul Townend, Jie Xu:
Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud. IEEE Trans. Cloud Comput. 2(2): 208-221 (2014) - [j2]Peter Garraghan, Ismael Solís Moreno, Paul Townend, Jie Xu:
An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment. IEEE Trans. Emerg. Top. Comput. 2(2): 166-180 (2014) - [c7]Peter Garraghan, Paul Townend, Jie Xu:
An Empirical Failure-Analysis of a Large-Scale Cloud Computing Environment. HASE 2014: 113-120 - [c6]Waraporn Leesakul, Paul Townend, Peter Garraghan, Jie Xu:
Fault-Tolerant Dynamic Deduplication for Utility Computing. ISORC 2014: 397-404 - [c5]Hussain Aljahdali, Abdulaziz Albatli, Peter Garraghan, Paul Townend, Lydia Lau, Jie Xu:
Multi-tenancy in Cloud Computing. SOSE 2014: 344-351 - 2013
- [j1]Peter Garraghan, Paul Townend, Jie Xu, Xiaoyu Yang, Peipei Sui:
Using Byzantine Fault-Tolerance to Improve Dependability in Federated Cloud Computing. Int. J. Softw. Informatics 7(2): 221-237 (2013) - [c4]Peter Garraghan, Paul Townend, Jie Xu:
An Analysis of the Server Characteristics and Resource Utilization in Google Cloud. IC2E 2013: 124-131 - [c3]Ismael Solís Moreno, Peter Garraghan, Paul Townend, Jie Xu:
An Approach for Characterizing Workloads in Google Cloud to Derive Realistic Resource Utilization Models. SOSE 2013: 49-60 - 2012
- [c2]Peter Garraghan, Paul Townend, Jie Xu:
Real-Time Fault-Tolerance in Federated Cloud Environments. ISORC Workshops 2012: 118-123 - 2011
- [c1]Peter Garraghan, Paul Townend, Jie Xu:
Byzantine fault-tolerance in federated cloud computing. SOSE 2011: 280-285
Coauthor Index
aka: Sukhpal Singh Gill
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