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Ahmed Ali-Eldin
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2020 – today
- 2024
- [j9]Huaifeng Zhang
, Mohannad Alhanahnah
Machine Learning Systems are Bloated and Vulnerable. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 6:1-6:30 (2024) - [c36]Mehmet Savasci, Abel Souza, Li Wu, David E. Irwin, Ahmed Ali-Eldin, Prashant J. Shenoy:
SLO-Power: SLO and Power-aware Elastic Scaling for Web Services. CCGrid 2024: 136-147 - [c35]Nathan Ng, Abel Souza, Ahmed Ali-Eldin, David E. Irwin, Don Towsley, Prashant J. Shenoy:
TailClipper: Reducing Tail Response Time of Distributed Services Through System-Wide Scheduling. SoCC 2024: 398-414 - [c34]Ali Rahmanian
CVF: Cross-Video Filtration on the Edge. MMSys 2024: 231-242 - [c33]Huaifeng Zhang
Machine Learning Systems are Bloated and Vulnerable. SIGMETRICS/Performance (Abstracts) 2024: 37-38 - [i10]Abel Souza, Shruti Jasoria, Basundhara Chakrabarty, Alexander Bridgwater, Axel Lundberg, Filip Skogh, Ahmed Ali-Eldin, David E. Irwin, Prashant J. Shenoy:
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services. CoRR abs/2403.14792 (2024) - 2023
- [j8]Qianlin Liang
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds. ACM Trans. Auton. Adapt. Syst. 18(1): 2:1-2:26 (2023) - [c32]Ali Rahmanian
RAVAS: Interference-Aware Model Selection and Resource Allocation for Live Edge Video Analytics. SEC 2023: 27-39 - [c31]Abel Souza
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services. IGSC 2023: 67-73 - [c30]Qianlin Liang
Dělen: Enabling Flexible and Adaptive Model-serving for Multi-tenant Edge AI. IoTDI 2023: 209-221 - [c29]Mehmet Savasci
DDPC: Automated Data-Driven Power-Performance Controller Design on-the-fly for Latency-sensitive Web Services. WWW 2023: 3067-3076 - [i9]Huaifeng Zhang, Mohannad Alhanahnah, Ahmed Ali-Eldin:
BLAFS: A Bloat Aware File System. CoRR abs/2305.04641 (2023) - 2022
- [c28]Ali Rahmanian
MicroSplit: Efficient Splitting of Microservices on Edge Clouds. SEC 2022: 252-264 - [c27]Ahmed Ali-Eldin, Chirag Goel, Mayank Jha, Bo Chen, Klara Nahrstedt, Prashant J. Shenoy
CAVE: caching 360° videos at the edge. NOSSDAV 2022: 50-56 - [e1]Chryssis Georgiou, Elad Michael Schiller, Ahmed Ali-Eldin, Alexandru Iosup:
ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems, Salerno, Italy, 25 July 2022. ACM 2022, ISBN 978-1-4503-9280-8 [contents] - [i8]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) - [i7]Huaifeng Zhang, Fahmi Abdulqadir Ahmed, Dyako Fatih, Akayou Kitessa, Mohannad Alhanahnah, Philipp Leitner, Ahmed Ali-Eldin:
Machine Learning Containers are Bloated and Vulnerable. CoRR abs/2212.09437 (2022) - 2021
- [j7]Alessandro Vittorio Papadopoulos
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. IEEE Trans. Software Eng. 47(8): 1528-1543 (2021) - [c26]Bin Wang, Ahmed Ali-Eldin, Prashant J. Shenoy
LaSS: Running Latency Sensitive Serverless Computations at the Edge. HPDC 2021: 239-251 - [c25]Ahmed Ali-Eldin, Bin Wang, Prashant J. Shenoy
The hidden cost of the edge: a performance comparison of edge and cloud latencies. SC 2021: 23 - [c24]Bo Chen, Zhisheng Yan, Hongpeng Guo, Zhe Yang, Ahmed Ali-Eldin, Prashant J. Shenoy
Deep Contextualized Compressive Offloading for Images. SenSys 2021: 467-473 - [i6]Ahmed Ali-Eldin, Bin Wang, Prashant J. Shenoy:
The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies. CoRR abs/2104.14050 (2021) - [i5]Bin Wang, Ahmed Ali-Eldin, Prashant J. Shenoy:
LaSS: Running Latency Sensitive Serverless Computations at the Edge. CoRR abs/2104.14087 (2021) - 2020
- [c23]Alexander Fuerst
Cloud-scale VM-deflation for Running Interactive Applications On Transient Servers. HPDC 2020: 53-64 - [c22]Bo Chen, Ahmed Ali-Eldin, Prashant J. Shenoy
Real-time Spatio-Temporal Action Localization in 360 Videos. ISM 2020: 73-76 - [c21]Jakub Krzywda, Vinícius Meyer
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers. PDP 2020: 88-93 - [c20]Alessandro Vittorio Papadopoulos, Laurens Versluis, André Bauer, Nikolas Herbst, Jóakim von Kistowski, Ahmed Ali-Eldin, Cristina L. Abad, José Nelson Amaral, Petr Tuma
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. SE 2020: 93-94 - [i4]Alexander Fuerst, Ahmed Ali-Eldin, Prashant J. Shenoy, Prateek Sharma:
Cloud-scale VM Deflation for Running Interactive Applications On Transient Servers. CoRR abs/2006.00508 (2020)
2010 – 2019
- 2019
- [j6]André Bauer
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. IEEE Trans. Parallel Distributed Syst. 30(4): 800-813 (2019) - [c19]Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro, Per-Olov Östberg, Erik Elmroth:
Power Shepherd: Application Performance Aware Power Shifting. CloudCom 2019: 45-53 - [c18]Prateek Sharma, Ahmed Ali-Eldin, Prashant J. Shenoy
Resource Deflation: A New Approach For Transient Resource Reclamation. EuroSys 2019: 33:1-33:17 - [c17]Ahmed Ali-Eldin, Jonathan Westin, Bin Wang, Prateek Sharma, Prashant J. Shenoy
SpotWeb: Running Latency-sensitive Distributed Web Services on Transient Cloud Servers. HPDC 2019: 1-12 - [c16]Pradeep Ambati, David E. Irwin, Prashant J. Shenoy
Understanding Synchronization Costs for Distributed ML on Transient Cloud Resources. IC2E 2019: 145-155 - [c15]David E. Irwin, Prashant J. Shenoy
The Price Is (Not) Right: Reflections on Pricing for Transient Cloud Servers. ICCCN 2019: 1-9 - [c14]Joseph Noor, Ahmed Ali-Eldin, Luis Garcia, Chirag Rao, Venkat R. Dasari, Deepak Ganesan, Brian Jalaian, Prashant J. Shenoy
The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. MILCOM 2019: 821-826 - [c13]Lucas Chaufournier, Ahmed Ali-Eldin, Prateek Sharma, Prashant J. Shenoy
Performance Evaluation of Multi-Path TCP for Data Center and Cloud Workloads. ICPE 2019: 13-24 - [i3]Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth:
Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling. CoRR abs/1903.05488 (2019) - 2018
- [j5]Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth:
Power-performance tradeoffs in data center servers: DVFS, CPU pinning, horizontal, and vertical scaling. Future Gener. Comput. Syst. 81: 114-128 (2018) - [j4]Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, André Bauer
An Experimental Performance Evaluation of Autoscalers for Complex Workflows. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(2): 8:1-8:32 (2018) - [c12]Jakub Krzywda, Ahmed Ali-Eldin, Eddie Wadbro
ALPACA: Application Performance Aware Server Power Capping. ICAC 2018: 41-50 - [c11]Ahmed Ali-Eldin, Deepak Ganesan, Heesung Kwon, Benjamin M. Marlin
Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments. MILCOM 2018: 1-9 - 2017
- [j3]Zheng Li
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-Off Debates. IEEE Trans. Sustain. Comput. 2(3): 255-274 (2017) - [c10]Alexey Ilyushkin, Ahmed Ali-Eldin, Nikolas Herbst, Alessandro Vittorio Papadopoulos
An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows. ICPE 2017: 75-86 - [i2]Zheng Li, Selome Kostentinos Tesfatsion, Saeed Bastani, Ahmed Ali-Eldin, Erik Elmroth, Maria Kihl, Rajiv Ranjan:
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-off Debates. CoRR abs/1708.00777 (2017) - 2016
- [j2]Alessandro Vittorio Papadopoulos
PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(4): 15:1-15:31 (2016) - [c9]Ahmed Ali-Eldin, Alexey Ilyushkin, Bogdan Ghit, Nikolas Roman Herbst, Alessandro Papadopoulos
Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms. ICPE 2016: 131-132 - 2015
- [c8]Ahmed Ali-Eldin, Maria Kihl, Johan Tordsson, Erik Elmroth:
Analysis and characterization of a video-on-demand service workload. MMSys 2015: 189-200 - 2014
- [c7]Per-Olov Östberg, Henning Groenda, Stefan Wesner
The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation. CloudCom 2014: 26-31 - [c6]Ahmed Ali-Eldin, Ali Rezaie, Amardeep Mehta, Stanislav Razroev, Sara Sjöstedt de Luna, Oleg Seleznjev, Johan Tordsson, Erik Elmroth:
How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload. IC2E 2014: 349-354 - [c5]Ahmed Ali-Eldin, Oleg Seleznjev, Sara Sjöstedt de Luna, Johan Tordsson, Erik Elmroth:
Measuring Cloud Workload Burstiness. UCC 2014: 566-572 - 2012
- [j1]Ana Juan Ferrer, Francisco Hernández-Rodriguez, Johan Tordsson, Erik Elmroth, Ahmed Ali-Eldin, Csilla Zsigri, Raül Sirvent
OPTIMIS: A holistic approach to cloud service provisioning. Future Gener. Comput. Syst. 28(1): 66-77 (2012) - [c4]Ahmed Ali-Eldin, Johan Tordsson, Erik Elmroth:
An adaptive hybrid elasticity controller for cloud infrastructures. NOMS 2012: 204-212 - 2011
- [c3]Ahmed Ali-Eldin, Sameh El-Ansary:
Replica Placement in Peer-Assisted Clouds: An Economic Approach. DAIS 2011: 208-213 - [c2]Salah A. Aly, Ahmed Ali-Eldin, H. Vincent Poor:
A Distributed Data Collection Algorithm for Wireless Sensor Networks with Persistent Storage Nodes. NTMS 2011: 1-5 - [c1]Erik Elmroth, Johan Tordsson, Francisco Hernández-Rodriguez, Ahmed Ali-Eldin, Petter Svärd, Mina Sedaghat, Wubin Li:
Self-management Challenges for Multi-cloud Architectures - (Invited Paper). ServiceWave 2011: 38-49 - 2010
- [i1]Salah A. Aly, Ahmed Ali-Eldin, H. Vincent Poor:
A Distributed Data Collection Algorithm for Wireless Sensor Networks with Persistent Storage Nodes. CoRR abs/1011.2795 (2010)
Coauthor Index
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last updated on 2024-11-20 21:58 CET by the dblp team
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