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2020 – today
- 2024
[c8]Walid A. Hanafy
, Qianlin Liang, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions. ASPLOS (3) 2024: 479-496- [c7]Walid A. Hanafy, Qianlin Liang, Noman Bashir, David E. Irwin, Prashant J. Shenoy:
CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency. SIGMETRICS/Performance (Abstracts) 2024: 49-50 - [d4]Walid A. Hanafy, Qianlin Liang, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions. Version v0.1. Zenodo, 2024 [all versions]
- [d3]Walid A. Hanafy, Qianlin Liang, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions. Version v0.2. Zenodo, 2024 [all versions] - [d2]Walid A. Hanafy, Qianlin Liang, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions. Version v0.3. Zenodo, 2024 [all versions] - 2023
- [j3]Walid A. Hanafy, Qianlin Liang, Noman Bashir, David E. Irwin, Prashant J. Shenoy:
CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 57:1-57:28 (2023) - [j2]Qianlin Liang, Walid A. Hanafy, Ahmed Ali-Eldin, Prashant J. Shenoy:
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds. ACM Trans. Auton. Adapt. Syst. 18(1): 2:1-2:26 (2023) - [c6]Abel Souza, Noman Bashir, Jorge Murillo, Walid A. Hanafy, Qianlin Liang, David E. Irwin, Prashant J. Shenoy:
Ecovisor: A Virtual Energy System for Carbon-Efficient Applications. ASPLOS (2) 2023: 252-265 - [c5]Qianlin Liang, Walid A. Hanafy, Noman Bashir, David E. Irwin, Prashant J. Shenoy:
Energy Time Fairness: Balancing Fair Allocation of Energy and Time for GPU Workloads. SEC 2023: 53-66 - [c4]Qianlin Liang, Walid A. Hanafy, Noman Bashir, Ahmed Ali-Eldin, David E. Irwin, Prashant J. Shenoy:
Dělen: Enabling Flexible and Adaptive Model-serving for Multi-tenant Edge AI. IoTDI 2023: 209-221 - [d1]Walid A. Hanafy, Qianlin Liang, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions. Version v0.4. Zenodo, 2023 [all versions] - [i4]Walid A. Hanafy, Qianlin Liang, Noman Bashir, David E. Irwin, Prashant J. Shenoy:
CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency. CoRR abs/2302.08681 (2023) - 2022
- [i3]Qianlin Liang, Walid A. Hanafy, Ahmed Ali-Eldin, Prashant J. Shenoy:
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds. CoRR abs/2201.07312 (2022) - [i2]Abel Souza, Noman Bashir, Jorge Murillo, Walid A. Hanafy, Qianlin Liang, David E. Irwin, Prashant J. Shenoy:
Ecovisor: A Virtual Energy System for Carbon-Efficient Applications. CoRR abs/2210.04951 (2022) - 2020
- [c3]Qianlin Liang, Prashant J. Shenoy, David E. Irwin:
AI on the Edge: Characterizing AI-based IoT Applications Using Specialized Edge Architectures. IISWC 2020: 145-156 - [i1]Qianlin Liang, Prashant J. Shenoy, David E. Irwin:
AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures. CoRR abs/2003.12488 (2020)
2010 – 2019
- 2018
- [j1]Cheng Wang, Qianlin Liang, Bhuvan Urgaonkar:
An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-Effective Resource Procurement. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(2): 6:1-6:24 (2018) - 2017
- [c2]Cheng Wang, Bhuvan Urgaonkar, Aayush Gupta, George Kesidis, Qianlin Liang:
Exploiting Spot and Burstable Instances for Improving the Cost-efficacy of In-Memory Caches on the Public Cloud. EuroSys 2017: 620-634 - [c1]Cheng Wang, Qianlin Liang, Bhuvan Urgaonkar:
An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-effective Resource Procurement. ICPE 2017: 63-74
Coauthor Index
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last updated on 2024-08-23 19:22 CEST by the dblp team
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