Peter Garraghan

Orcid: 0000-0002-7103-2515

Affiliations:
  • Lancaster University, UK


According to our database1, Peter Garraghan authored at least 55 papers between 2011 and 2024.

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Bibliography

2024
ICT Sector Greenhouse Gas Emissions - Issues and Trends.
CoRR, 2024

Energy-adaptive Network Switching via Intra-device Scaling.
Proceedings of the IEEE International Conference on Communications, 2024

2023
DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs.
IEEE Trans. Parallel Distributed Syst., July, 2023

START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks.
IEEE Trans. Serv. Comput., 2023

Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization.
CoRR, 2023

Model Leeching: An Extraction Attack Targeting LLMs.
Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2022
Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems.
IEEE Trans. Parallel Distributed Syst., 2022

Cross-VM Network Channel Attacks and Countermeasures Within Cloud Computing Environments.
IEEE Trans. Dependable Secur. Comput., 2022

HUNTER: AI based holistic resource management for sustainable cloud computing.
J. Syst. Softw., 2022

TRACTOR: Traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization.
Int. J. Commun. Syst., 2022

PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.
CoRR, 2022

Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters.
Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021
The evolution of distributed computing systems: from fundamental to new frontiers.
Computing, 2021

Controller-in-the-Middle: Attacks on Software Defined Networks in Industrial Control Systems.
Proceedings of the CPSIoTSec '21: Proceedings of the 2th Workshop on CPS&IoT Security and Privacy, 2021

2020
Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters.
IEEE Trans. Parallel Distributed Syst., 2020

Tails in the cloud: a survey and taxonomy of straggler management within large-scale cloud data centres.
J. Supercomput., 2020

ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments.
J. Syst. Softw., 2020

Integrating clustering and regression for workload estimation in the cloud.
Concurr. Comput. Pract. Exp., 2020

Horus: An Interference-Aware Resource Manager for Deep Learning Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Towards GPU Utilization Prediction for Cloud Deep Learning.
Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020

A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines.
Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020

2019
Straggler Root-Cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters.
IEEE Trans. Serv. Comput., 2019

Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge.
J. Syst. Softw., 2019

ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices.
J. Syst. Softw., 2019

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges.
Internet Things, 2019

PRISM: An Experiment Framework for Straggler Analytics in Containerized Clusters.
Proceedings of the 5th International Workshop on Container Technologies and Container Clouds, 2019

2018
Holistic Virtual Machine Scheduling in Cloud Datacenters towards Minimizing Total Energy.
IEEE Trans. Parallel Distributed Syst., 2018

Adaptive Speculation for Efficient Internetware Application Execution in Clouds.
ACM Trans. Internet Techn., 2018

Holistic energy and failure aware workload scheduling in Cloud datacenters.
Future Gener. Comput. Syst., 2018

Emergent Failures: Rethinking Cloud Reliability at Scale.
IEEE Cloud Comput., 2018

ROSE: Cluster Resource Scheduling via Speculative Over-Subscription.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

A Cross-Virtual Machine Network Channel Attack via Mirroring and TAP Impersonation.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Reliable Computing Service in Massive-Scale Systems through Rapid Low-Cost Failover.
IEEE Trans. Serv. Comput., 2017

Fog Orchestration for Internet of Things Services.
IEEE Internet Comput., 2017

A Framework and Task Allocation Analysis for Infrastructure Independent Energy-Efficient Scheduling in Cloud Data Centers.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017

2016
SEED: A Scalable Approach for Cyber-Physical System Simulation.
IEEE Trans. Serv. Comput., 2016

Resource boxing: converting realistic cloud task utilization patterns for theoretical scheduling.
Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016

A unified model for holistic power usage in cloud datacenter servers.
Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016

Tolerating Transient Late-Timing Faults in Cloud-Based Real-Time Stream Processing.
Proceedings of the 19th IEEE International Symposium on Real-Time Distributed Computing, 2016

Virtual Machine Level Temperature Profiling and Prediction in Cloud Datacenters.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Straggler Detection in Parallel Computing Systems through Dynamic Threshold Calculation.
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016

An Approach for Modeling and Ranking Node-Level Stragglers in Cloud Datacenters.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Timely Long Tail Identification through Agent Based Monitoring and Analytics.
Proceedings of the IEEE 18th International Symposium on Real-Time Distributed Computing, 2015

Workload Estimation for Improving Resource Management Decisions in the Cloud.
Proceedings of the Twelfth IEEE International Symposium on Autonomous Decentralized Systems, 2015

2014
Holistic cloud computing environmental quantification and behavioural analysis.
PhD thesis, 2014

An Analysis of Failure-Related Energy Waste in a Large-Scale Cloud Environment.
IEEE Trans. Emerg. Top. Comput., 2014

Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud.
IEEE Trans. Cloud Comput., 2014

Multi-tenancy in Cloud Computing.
Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Fault-Tolerant Dynamic Deduplication for Utility Computing.
Proceedings of the 17th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2014

An Empirical Failure-Analysis of a Large-Scale Cloud Computing Environment.
Proceedings of the 15th International IEEE Symposium on High-Assurance Systems Engineering, 2014

2013
Using Byzantine Fault-Tolerance to Improve Dependability in Federated Cloud Computing.
Int. J. Softw. Informatics, 2013

An Approach for Characterizing Workloads in Google Cloud to Derive Realistic Resource Utilization Models.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

An Analysis of the Server Characteristics and Resource Utilization in Google Cloud.
Proceedings of the 2013 IEEE International Conference on Cloud Engineering, 2013

2012
Real-Time Fault-Tolerance in Federated Cloud Environments.
Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

2011
Byzantine fault-tolerance in federated cloud computing.
Proceedings of the IEEE 6th International Symposium on Service Oriented System Engineering, 2011


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