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ORCID16tth ICAC 2019: Umeå, Sweden
- 2019 IEEE International Conference on Autonomic Computing, ICAC 2019, Umeå, Sweden, June 16-20, 2019. IEEE 2019, ISBN 978-1-7281-2411-7
Cyber-Physical Systems
- Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu:
GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service. 1-10 - Jayson Boubin, John Chumley, Christopher Stewart
, Sami Khanal:
Autonomic Computing Challenges in Fully Autonomous Precision Agriculture. 11-17 - Mohan Baruwal Chhetri, Anton V. Uzunov, Bao Quoc Vo, Surya Nepal, Ryszard Kowalczyk:
Self-Improving Autonomic Systems for Antifragile Cyber Defence: Challenges and Opportunities. 18-23 - Damian Arellanes, Kung-Kiu Lau:
Workflow Variability for Autonomic IoT Systems. 24-30
Resource Management and Cloud - 1
- Connor Imes, Huazhe Zhang, Kevin Zhao, Henry Hoffmann:
CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping. 31-41 - Robert Birke, Juan F. Pérez, Sonia Ben Mokhtar, Navaneeth Rameshan, Lydia Y. Chen:
Chisel: Reshaping Queries to Trim Latency in Key-Value Stores. 42-51 - Lars Larsson, William Tärneberg, Cristian Klein, Erik Elmroth:
Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions. 52-62 - Norbert Schmitt, Lukas Iffländer, André Bauer, Samuel Kounev:
Online Power Consumption Estimation for Functions in Cloud Applications. 63-72
Internet of Things
- Brian Ramprasad, Marios Fokaefs, Joydeep Mukherjee, Marin Litoiu:
EMU-IoT - A Virtual Internet of Things Lab. 73-83 - Gregor Schiele, Alwyn Burger, Christopher Cichiwskyj:
The Elastic Node: An Experimentation Platform for Hardware Accelerator Research in the Internet of Things. 84-94 - Gautham Nayak Seetanadi, Karl-Erik Årzén, Martina Maggio:
Model Checking a Self-Adaptive Camera Network with Physical Disturbances. 95-104
Deep Learning
- K. R. Jayaram, Anshul Gandhi, Hongyi Xin, Shu Tao:
Adaptively Accelerating Map-Reduce/Spark with GPUs: A Case Study. 105-114 - Michael Austin Langford, Betty H. C. Cheng:
Enhancing Learning-Enabled Software Systems to Address Environmental Uncertainty. 115-124 - Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo:
Speeding up Deep Learning with Transient Servers. 125-135 - Michael Trotter, Timothy Wood, Jinho Hwang:
Forecasting a Storm: Divining Optimal Configurations using Genetic Algorithms and Supervised Learning. 136-146
Analytical Methods
- Geir Horn, Marta Rózanska:
Affine Scalarization of Two-Dimensional Utility Using the Pareto Front. 147-156 - Song Huang, Shuwen Liang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-bung Chen:
Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. 157-166 - Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Autonomic Forecasting Method Selection: Examination and Ways Ahead. 167-176
Resource Management and Cloud - 2
- Yesika M. Ramírez, Vladimir Podolskiy, Michael Gerndt:
Capacity-Driven Scaling Schedules Derivation for Coordinated Elasticity of Containers and Virtual Machines. 177-186 - Asser N. Tantawi, Malgorzata Steinder:
Autonomic Cloud Placement of Mixed Workload: An Adaptive Bin Packing Algorithm. 187-193 - Amirhossein Mirhosseini, Brendan L. West, Geoffrey W. Blake, Thomas F. Wenisch:
Express-Lane Scheduling and Multithreading to Minimize the Tail Latency of Microservices. 194-199 - Jianru Ding, Ruiqi Cao, Indrajeet Saravanan, Nathaniel Morris, Christopher Stewart:
Characterizing Service Level Objectives for Cloud Services: Realities and Myths. 200-206
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