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Staff photo Ahmed Aleyeldin

Ahmed Aleyeldin

Assistant Professor at Chalmers University of Technology and researcher at UMass Amherst. Visiting researcher at ADSLab at Umeå University.

Contact

E-mail
ahmed.aleyeldin@umu.se
Phone
+46 90 786 70 17

Works at

Affiliation
Affiliated as visiting researcher at Department of Computing Science
Location
Naturvetarhuset Plan 2, Naturvetarhuset, C2-10-03 Umeå universitet, 901 87 Umeå
2020
Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers
28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE conference proceedings 2020 : 88-93
Krzywda, Jakub; Meyer, Vinici­us; Xavier, Miguel G.; et al.
2019
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field
IEEE Transactions on Parallel and Distributed Systems, IEEE Computer Society 2019, Vol. 30, (4) : 800-813
Bauer, André; Herbst, Nikolas; Spinner, Simon; et al.
2019
Power Shepherd: Application Performance Aware Power Shifting
Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, IEEE Computer Society 2019 : 45-53
Krzywda, Jakub; Ali-Eldin, Ahmed; Wadbro, Eddie; et al.
2018
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field
IEEE Transactions on Parallel and Distributed Systems
Bauer,, André; Herbst, Nikolas; Spinner, Simon; et al.
2018
An Experimental Performance Evaluation of Autoscalers for Complex Workflows
ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Vol. 3, (2)
Ilyushkin, Alexey; Ali-Eldin, Ahmed; Herbst, Nikolas; et al.
2018
ALPACA: Application Performance Aware Server Power Capping
ICAC 2018: 2018 IEEE International Conference on Autonomic Computing (ICAC), Trento, Italy, September 3-7, 2018, IEEE Computer Society 2018 : 41-50
Krzywda, Jakub; Ali-Eldin, A.; Wadbro, Eddie; et al.
2018
Power-performance tradeoffs in data center servers: DVFS, CPUpinning, horizontal, and vertical scaling
Future generations computer systems, Vol. 81 : 114-128
Krzywda, Jakub; Ali-Eldin, Ahmed; Carlson, Trevor E.; et al.
2016
Which Cloud Auto-Scaler Should I Use for my Application?: Benchmarking Auto-Scaling Algorithms
PROCEEDINGS OF THE 2016 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE'16), Association for Computing Machinery (ACM) 2016 : 131-132
Ali-Eldin, Ahmed; Ilyushkin, Alexey; Ghit, Bogdan; et al.
2015
Analysis and characterization of a Video-on-Demand service workload
Proceedings of the 6th ACM Multimedia Systems Conference, MMSys 2015, ACM Digital Library 2015 : 189-200
Ali-Eldin, Ahmed; Kihl, Maria; Tordsson, Johan; et al.
2015
Workload characterization, controller design and performance evaluation for cloud capacity autoscaling
Report / UMINF, 15.09
Ali-Eldin Hassan, Ahmed
2015
Method, node and computer program for enabling automatic adaptation of resource units
Elmroth, Erik; Gardfjall, Peter; Tordsson, Johan; et al.
2015
PEAS: A Performance Evaluation framework for Auto-Scaling strategies in cloud applications
Papadopoulos, Alessandro Vittorio; Ali-Eldin, Ahmed; Årzén, Karl-Erik; et al.
2014
How will your workload look like in 6 years?: Analyzing Wikimedia's workload
Proceedings of the 2014 IEEE International Conference on Cloud Engineering (IC2E 2014), IEEE Computer Society 2014 : 349-354
Ali-Eldin, Ahmed; Rezaie, Ali; Mehta, Amardeep; et al.
2014
Measuring cloud workload burstiness
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), IEEE conference proceedings 2014 : 566-572
Ali-Eldin, Ahmed; Seleznjev, Oleg; Sjöstedt-de Luna, Sara; et al.
2014
The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation
2014 IEEE 6th International Conference on Cloud Computing Technology and Science : 26-31
Östberg, Per-Olov; Groenda, Henning; Wesner, Stefan; et al.
2013
Capacity Scaling for Elastic Compute Clouds
Report / UMINF, 2013:14
Ali-Eldin, Ahmed
2013
Workload Classification for Efficient Auto-Scaling of Cloud Resources
Ali-Eldin, Ahmed; Tordsson, Johan; Elmroth, Erik; et al.
2012
Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control
Proceedings of the 3rd workshop on Scientific Cloud Computing Date, Association for Computing Machinery (ACM) 2012 : 31-40
Ali-Eldin, Ahmed; Kihl, Maria; Tordsson, Johan; et al.
2012
An adaptive hybrid elasticity controller for cloud infrastructures
2012 IEEE Network operations and managent symposium (NOMS), IEEE Communications Society 2012 : 204-212
Ali-Eldin, Ahmed; Tordsson, Johan; Elmroth, Erik
2012
OPTIMIS: A holistic approach to cloud service provisioning
Future generations computer systems, Amsterdam: North-Holland 2012, Vol. 28, (1) : 66-77
Ferrer, Ana Juan; Hernandez, Francisco; Tordsson, Johan; et al.
2011
Optimizing Replica Placement in Peer-Assisted Cloud Stores
International Conference on Utility and Cloud Computing (UCC 2011), 5-7 December 2011, Melbourne, Australia
Ali-Eldin, Ahmed; El-Ansary, Sameh
2011
Replica Placement in Peer-Assisted Clouds: An Economic Approach
Lecture Notes in Computer Science, Springer 2011 : 208-213
Ali-Eldin, Ahmed; El-Ansary, Sameh
2011
Self-management Challenges for Multi-cloud Architectures (Invited Paper)
TOWARDS A SERVICE-BASED INTERNET, Berlin: Springer 2011 : 38-49
Elmroth, Erik; Tordsson, Johan; Hernandez, Francisco; et al.
2011
Self-management challenges for multi-cloud architectures
Towards a Service-Based Internet: 4th European Conference, ServiceWave 2011, Poznan, Poland, October 26-28, 2011. Proceedings, Springer Berlin/Heidelberg 2011 : 38-49
Elmroth, Erik; Tordsson, Johan; Hernández, Francisco; et al.
WAC: A Workload analysis and classification tool for automatic selection of cloud auto-scaling methods
Ali-Eldin, Ahmed; Tordsson, Johan; Elmroth, Erik; et al.
Modeling and Simulation of QoS-AwarePower Budgeting in Cloud Data Centers
Krzywda, Jakub; Meyer, Vinicius; Xavier, Miguel G.; et al.
View publications in DiVA

Research groups

Group member
Autonomous Distributed Systems Lab

Research projects

1 January 2020 until 31 December 2023
Analytics-driven Edge Cloud Automation
1 January 2020 until 31 December 2023
Analytics-driven Edge Cloud Automation
1 January 2019 until 31 December 2021
DEBLOAT: Code Debloating from Source Code to Large-scale Deployment