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ICPE 2018: Berlin, Germany
- Katinka Wolter, William J. Knottenbelt, André van Hoorn, Manoj Nambiar:

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018. ACM 2018
Keynote and Invited Talks
- Peter J. Braam:

Performance Engineering for the SKA Telescope. 1 - Michael R. Lyu:

AI Techniques in Software Engineering Paradigm. 2 - Aad van Moorsel:

Benchmarks and Models for Blockchain. 3
Runtime Adaptation
- Veronika Lesch, André Bauer

, Nikolas Herbst, Samuel Kounev:
FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. 4-15 - Stefano Conoci, Pierangelo di Sanzo

, Bruno Ciciani, Francesco Quaglia:
Adaptive Performance Optimization under Power Constraint in Multi-thread Applications with Diverse Scalability. 16-27 - Cosmin Gorgovan, Amanieu D'Antras, Mikel Luján:

Optimising Dynamic Binary Modification Across ARM Microarchitectures. 28-39 - Jason Porter, Daniel A. Menascé, Hassan Gomaa, Emad Albassam

:
TESS: Automated Performance Evaluation of Self-Healing and Self-Adaptive Distributed Software Systems. 40-47 - Tao Chen, Rami Bahsoon, Shuo Wang, Xin Yao

:
To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance. 48-55
High Performance Computing
- Tung D. Le, Taro Sekiyama, Yasushi Negishi, Haruki Imai, Kiyokuni Kawachiya:

Involving CPUs into Multi-GPU Deep Learning. 56-67 - Robert Underwood

, Jason Anderson, Amy W. Apon:
Measuring Network Latency Variation Impacts to High Performance Computing Application Performance. 68-79 - Rizwan A. Ashraf, Saurabh Hukerikar, Christian Engelmann

:
Pattern-based Modeling of Multiresilience Solutions for High-Performance Computing. 80-87 - Michael Hofmann, Robert Kiesel

, Gudula Rünger:
Energy and Performance Analysis of Parallel Particle Solvers from the ScaFaCoS Library. 88-95 - Shi Dong, Xiang Gong, Yifan Sun

, Trinayan Baruah, David R. Kaeli:
Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs. 96-106
Monitoring and Profiling
- Daniel Brahneborg, Wasif Afzal

, Adnan Causevic, Daniel Sundmark, Mats Björkman:
Round-Trip Time Anomaly Detection. 107-114 - Markus Weninger

, Hanspeter Mössenböck
:
User-defined Classification and Multi-level Grouping of Objects in Memory Monitoring. 115-126 - Kundi Yao, Guilherme B. de Pádua, Weiyi Shang, Steve Sporea, Andrei Toma, Sarah Sajedi

:
Log4Perf: Suggesting Logging Locations for Web-based Systems' Performance Monitoring. 127-138 - John Nicol, Chen Li, Peinan Chen

, Tao Feng, Haricharan Ramachandra:
ODP: An Infrastructure for On-Demand Service Profiling. 139-144
Cloud Computing
- Selome Kostentinos Tesfatsion, Cristian Klein, Johan Tordsson:

Virtualization Techniques Compared: Performance, Resource, and Power Usage Overheads in Clouds. 145-156 - Manuel Gotin, Felix Lösch, Robert Heinrich, Ralf H. Reussner

:
Investigating Performance Metrics for Scaling Microservices in CloudIoT-Environments. 157-167 - Lishan Yang, Ludmila Cherkasova, Rajeev Badgujar, Jack Blancaflor, Rahul Konde, Jason Mills, Evgenia Smirni:

Evaluating Scalability and Performance of a Security Management Solution in Large Virtualized Environments. 168-175 - Cornel Barna, Marin Litoiu

, Marios Fokaefs
, Mark Shtern, Joe Wigglesworth:
Runtime Performance Management for Cloud Applications with Adaptive Controllers. 176-183 - Christian Stier, Jörg Domaschka, Anne Koziolek, Sebastian Krach, Jakub Krzywda, Ralf H. Reussner

:
Rapid Testing of IaaS Resource Management Algorithms via Cloud Middleware Simulation. 184-191 - Danilo Ardagna

, Enrico Barbierato, Athanasia Evangelinou, Eugenio Gianniti, Marco Gribaudo
, Túlio B. M. Pinto, Anna Guimarães
, Ana Paula Couto da Silva
, Jussara M. Almeida:
Performance Prediction of Cloud-Based Big Data Applications. 192-199
Enterprise Applications
- Gururaj Maddodi, Slinger Jansen

, Rolf de Jong:
Generating Workload for ERP Applications through End-User Organization Categorization using High Level Business Operation Data. 200-210 - Vanessa Ayala-Rivera, Maciej Kaczmarski, John Murphy, Amarendra Darisa, A. Omar Portillo-Dominguez:

One Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applications. 211-222 - Adrian Streitz, Maximilian Barnert, Harald Kienegger, Helmut Krcmar:

Performance Improvement Barriers for SAP Enterprise Applications: An Analysis of Expert Interviews. 223-228
Modeling, Prediction, and Optimization
- Jian Li, Faheem Zafari, Don Towsley

, Kin K. Leung, Ananthram Swami:
Joint Data Compression and Caching: Approaching Optimality with Guarantees. 229-240 - Farhana Islam, Dorina C. Petriu, C. Murray Woodside:

Choice of Aggregation Groups for Layered Performance Model Simplification. 241-252 - Peter G. Harrison

, Naresh M. Patel:
Optimizing Energy-Performance Trade-Offs in Solar-Powered Edge Devices. 253-260
Load Testing and Benchmarking
- Vincenzo Ferme, Cesare Pautasso:

A Declarative Approach for Performance Tests Execution in Continuous Software Development Environments. 261-272 - Ivo Jimenez

, Noah Watkins, Michael Sevilla, Jay F. Lofstead
, Carlos Maltzahn
:
quiho: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles. 273-284 - Nikolai Pitaev, Matthias Falkner, Aris Leivadeas, Ioannis Lambadaris:

Characterizing the Performance of Concurrent Virtualized Network Functions with OVS-DPDK, FD.IO VPP and SR-IOV. 285-292 - Meikel Poess, Da Qi Ren, Tilmann Rabl, Hans-Arno Jacobsen:

Methods for Quantifying Energy Consumption in TPC-H. 293-304 - Holger Knoche, Holger Eichelberger

:
Using the Raspberry Pi and Docker for Replicable Performance Experiments: Experience Paper. 305-316

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