Publications
- [ Article ]
- [ Incollection ]
- [ Inproceedings ]
- [ Misc ]
- [ PhD thesis ]
- [ Proceedings ]
- [ Techreport ]
Article[ to top ]
-
The State of Serverless Applications: Collection, Characterization, and Community Consensus in Transactions on Software Engineering (2022). 48(10) 4152–4166.
-
Serverless Computing (Dagstuhl Seminar 21201) in Dagstuhl Reports, (C. Abad; I. T. Foster; N. Herbst; A. Iosup, eds.) (2021). 11(4) 34–93.
-
SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation in ACM Transactions on Autonomous and Adaptive Systems (2021). 15(2)
-
Serverless Applications:Why, When, and How? in IEEE Software (2021). 38(1) 32–39.
-
A Taxonomy of Techniques for SLO Failure Prediction in Software Systems in Computers (2020). 9(1) 10.
-
Time Series Forecasting for Self-Aware Systems in Proceedings of the IEEE (2020). 108(7) 1068–1093.
-
Agile Scalability Engineering: The ScrumScale Method in IEEE Software (2019). 37(5) 77–85.to appear
-
Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field in IEEE Transactions on Parallel and Distributed Systems (2019). 30(4) 800–813.
-
The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms in IEEE Internet Computing (2019). 23(6) 7–18.
-
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing in IEEE Transactions on Software Engineering (2019). 47(8) 1528–1543.
-
Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(4) 19:1–19:36.
-
An Experimental Performance Evaluation of Autoscalers for Complex Workflows in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(2) 8:1–8:32.
-
Modeling and Extracting Load Intensity Profiles in ACM Transactions on Autonomous and Adaptive Systems (TAAS) (2017). 11(4) 23:1–23:28.
Incollection[ to top ]
-
Online Workload Forecasting in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, X. Zhu, A. Milenkoski (eds.) (2017).
-
Metrics and Benchmarks for Self-Aware Computing Systems in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
Inproceedings[ to top ]
-
A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing in 2023 ACM International Conference on Computing Frontiers (CF ’23) (2023).
-
An Empirical Study of Container Image Configurations and Their Impact on Start Times in 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2023).In print.
-
SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).Acceptance Rate: 29%
-
Libra: A Benchmark for Time Series Forecasting Methods in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).
-
Sizeless: Predicting the Optimal Size of Serverless Functions in Proceedings of the 22nd International MIDDLEWARE Conference (2021). 248–259.Best Student Paper Award, ACM Artifacts Evaluated — Functional
-
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series in Proceedings of the ACM/SPEC International Conference on Performance Engineering (2020). 48–55.
-
Predicting the Costs of Serverless Workflows in Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE) (2020). 265–276.Acceptance Rate: 23.4% (15/64)
-
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field in Proceedings of the 36th International Conference on Data Engineering (ICDE) (2020).
-
Elasticity of Cloud Platforms in Systems Benchmarking: For Scientists and Engineers, S. Kounev, K.-D. Lange, J. von Kistowski (eds.) (2020). 319–340.
-
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing in Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, 24.-28. Februar 2020, Innsbruck, Austria, M. Felderer, W. Hasselbring, R. Rabiser, R. Jung (eds.) (2020). (Vol. P-300) 93–94.
-
Systematic Search for Optimal Resource Configurations of Distributed Applications in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019). 120–125.
-
Kaa: Evaluating Elasticity of Cloud-hosted DBMS in Proceedings of the 11th IEEE International Conference on Cloud Computing (CloudCom) (2019).
-
Best Practices for Time Series Forecasting in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019).
-
Chamulteon: Coordinated Auto-Scaling of Micro-Services in Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS) (2019).
-
Autonomic Forecasting Method Selection: Examination and Ways Ahead in Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) (2019).
-
Utilizing Clustering to Optimize Resource Demand Estimation Approaches in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019). 134–139.
-
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds in Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018) (2018).Full Paper Acceptance Ratio: 23,7%
-
On the Value of Service Demand Estimation for Auto-Scaling in Proceedings of 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB 2018) (2018). (Vol. 10740) 142–156.
-
TeaStore: A Micro-Service Reference Application for Cloud Researchers in Proceedings of 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion) (2018). 11–12.
-
Using Machine Learning for Recommending Service Demand Estimation Approaches in Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018) (2018). 473–480.
-
Scalability Analysis of Cloud Software Services in Companion Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), Self Organizing Self Managing Clouds Workshop (SOSeMC 2017) (2017).
-
An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows in Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017).Best Paper Candidate (1/4)
-
Design and Evaluation of a Proactive, Application-Aware Auto-Scaler in Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017).
-
Self-Tuning Resource Demand Estimation in Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017) (2017). 21–26.
-
Telescope: A Hybrid Forecast Method for Univariate Time Series in Proceedings of the International work-conference on Time Series (ITISE 2017) (2017).
-
Modeling and Extracting Load Intensity Profiles in Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015) (2015).Acceptance rate: 29%
-
Proactive Memory Scaling of Virtualized Applications in VMware R&D Innovation Offsite (RADIO) (2015).
-
Proactive Memory Scaling of Virtualized Applications in Proceedings of the 2015 IEEE 8th International Conference on Cloud Computing (IEEE CLOUD 2015) (2015). 277–284.Acceptance Rate: 15%
-
Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors in Proceedings of the Symposium on Software Performance 2014 (2014). 131–140.Best Poster Award
-
Optimization Method for Request Admission Control to Guarantee Performance Isolation in Proceedings of the 2nd International Workshop on Hot Topics in Cloud Service Scalability (HotTopiCS 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014).
-
LIMBO: A Tool For Modeling Variable Load Intensities in Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 225–226.
-
Modeling Variations in Load Intensity over Time in Proceedings of the 3rd International Workshop on Large-Scale Testing (LT 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 1–4.
-
Elasticity in Cloud Computing: What it is, and What it is Not in Proceedings of the 10th International Conference on Autonomic Computing (ICAC 2013) (2013).Acceptance Rate (Short Paper): 36.9%
Misc[ to top ]
-
SPEC Research Group Newsletter, vol. 3 no. 1 (2020, April).Published by Standard Performance Evaluation Corporation (SPEC)
-
SPEC Research Group Newsletter, vol. 2 no. 4 (2019, April).Published by Standard Performance Evaluation Corporation (SPEC)
-
Methoden und Messverfahren für Automatisches Skalieren in Elastischen Cloud Umgebungen (2019, June).
-
SPEC Research Group Newsletter, vol. 2 no. 3 (2018, April).Published by Standard Performance Evaluation Corporation (SPEC)
-
How we built a scalable micro-service application - The Tea Store (2018, July).
-
SPEC Research Group Newsletter, vol. 2 no. 2 (2017, April).Published by Standard Performance Evaluation Corporation (SPEC)
PhD thesis[ to top ]
-
Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments Thesis; University of Würzburg, Germany. (2018, July).Distinction, SPEC Kaivalya Dixit Distinguished Dissertation Award 2018
Proceedings[ to top ]
-
ICPE ’22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022 (D. Feng; S. Becker; N. Herbst; P. Leitner, eds.) (2022). ACM.
-
ICPE ’22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022, Companion Volume (D. Feng; S. Becker; N. Herbst; P. Leitner, eds.) (2022). ACM.
Techreport[ to top ]
-
A Review of Serverless Use Cases and their Characteristics (2020).
-
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing - A SPEC Research Technical Report (2019).
-
Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics (2016).
-
Performance-oriented DevOps: A Research Agenda (2015).