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ORCIDIC2E 2021: San Francisco, CA, USA
- IEEE International Conference on Cloud Engineering, IC2E 2021, San Francisco, CA, USA, October 4-8, 2021. IEEE 2021, ISBN 978-1-6654-4970-0
- Martin Grambow, Tobias Pfandzelter, Luk Burchard, Carsten Schubert, Max Xiaohang Zhao
, David Bermbach:
BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms. 1-8 - Madeline Janecek, Naser Ezzati-Jivan, Seyed Vahid Azhari:
Container Workload Characterization Through Host System Tracing. 9-19 - Stephan Patrick Baller, Anshul Jindal, Mohak Chadha, Michael Gerndt:
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. 20-30 - Zhuangwei Kang, Kyoungho An, Aniruddha Gokhale, Paul Pazandak:
A Comprehensive Performance Evaluation of Different Kubernetes CNI Plugins for Edge-based and Containerized Publish/Subscribe Applications. 31-42 - Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. 43-52 - Shotaro Gotanda, Takahiro Shinagawa:
Short Paper: Highly Compatible Fast Container Startup with Lazy Layer Pull. 53-59 - Chandra Prakash, Anshuj Garg, Umesh Bellur, Purushottam Kulkarni, Uday Kurkure, Hari Sivaraman, Lan Vu:
Optimizing Goodput of Real-time Serverless Functions using Dynamic Slicing with vGPUs. 60-70 - Maria Patrou, Kenneth B. Kent, Joran Siu, Michael Dawson:
Energy and Runtime Performance Optimization of Node.js Web Requests. 71-82 - Maria C. Borges, Sebastian Werner, Ahmet Kilic:
FaaSter Troubleshooting - Evaluating Distributed Tracing Approaches for Serverless Applications. 83-90 - Kain Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen:
Evaluation of Load Prediction Techniques for Distributed Stream Processing. 91-98 - Nicholas Krichevsky, Renee St Louis, Tian Guo:
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage. 99-109 - Kwangsung Oh, Myoungkyu Song:
Cocoa: Towards a Scalable Compute Cost-aware Data Analytics System. 110-117 - Ayesha Abdul Majeed, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese:
NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs. 118-125 - Peng Kang, Palden Lama, Samee U. Khan:
SLO-aware Virtual Rebalancing for Edge Stream Processing. 126-135 - Ali Raza, Zongshun Zhang, Nabeel Akhtar, Vatche Isahagian, Ibrahim Matta:
LIBRA: An Economical Hybrid Approach for Cloud Applications with Strict SLAs. 136-146 - Luis Augusto Dias Knob, Francescomaria Faticanti, Tiago Ferreto, Domenico Siracusa:
Community-based Placement of Registries to Speed up Application Deployment on Edge Computing. 147-153 - Chunxu Tang, Beinan Wang, Zhenxiao Luo, Huijun Wu, Shajan Dasan, Maosong Fu, Yao Li, Mainak Ghosh, Ruchin Kabra, Nikhil Kantibhai Navadiya, Da Cheng, Fred Dai, Vrushali Channapattan, Prachi Mishra:
Forecasting SQL Query Cost at Twitter. 154-160 - Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls:
Memory-Efficient Deep Learning Inference in Trusted Execution Environments. 161-167 - Mohammed Nurul Hoque, Khaled A. Harras:
Nomad: Cross-Platform Computational Offloading and Migration in Femtoclouds Using WebAssembly. 168-178 - Nazmus Saquib, Chandra Krintz, Rich Wolski:
PEDaLS: Persisting Versioned Data Structures. 179-190 - Emmanuel Raj, David Buffoni, Magnus Westerlund, Kimmo Ahola:
Edge MLOps: An Automation Framework for AIoT Applications. 191-200 - Tian Zhou, Lixin Gao:
Distributed Framework for Accelerating Training of Deep Learning Models through Prioritization. 201-209 - Hira Siddiqui, Mujtaba Idrees, Ivan Gudymenko, Do Le Quoc, Christof Fetzer:
Credentials as a Service Providing Self Sovereign Identity as a Cloud Service Using Trusted Execution Environments. 210-216 - Behshid Shayesteh, Chunyan Fu, Amin Ebrahimzadeh, Roch H. Glitho:
Auto-adaptive Fault Prediction System for Edge Cloud Environments in the Presence of Concept Drift. 217-223 - Björn Daase, Leon Matthes, Lukas Pirl, Lukas Wenzel:
Observing a Moving Target - Reliable Transmission of Debug Logs from Mobile Embedded Devices. 224-230 - Demetris Trihinas, Michalis Agathocleous, Karlen Avogian:
Composable Energy Modeling for ML-Driven Drone Applications. 231-237 - Valentin Schröter, Arne Boockmeyer, Lukas Pirl:
NetSD: Remote Access to Integrated SD Cards of Embedded Devices. 238-243 - Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister, Martin Haug, Alexander Scharmann, Lauritz Thamsen:
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. 244-250 - Martin Haug, Felix Lorenz, Lauritz Thamsen:
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. 251-257 - Arne Boockmeyer, Dirk Friedenberger, Lukas Pirl, Robert Schmid, Andreas Polze, Heiko Herholz, Gisela Freiin von Arnim, Pedro Lehmann Ibáñez, Torsten Friedrich, Christoph Klaus, Christian Wilhelmi:
From CCS-Planning to Testautomation: The Digital Testfield of Deutsche Bahn in Scheibenberg - A Case Study. 258-263 - David Bermbach, Abhishek Chandra, Chandra Krintz, Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton Cavalcante, Tian Guo, Ivona Brandic, Rich Wolski:
On the Future of Cloud Engineering. 264-275 - Woomin Hwang, Chulwoo Lee, Byungjoon Kim:
SGX -Capsule: A Confidential Execution Engine for Unmodified Libraries on SGX Enclave. 276-277 - Matthias Reisinger, Pantelis A. Frangoudis, Schahram Dustdar:
System support and mechanisms for adaptive edge-to-cloud DNN model serving. 278-279 - Tobias Pfandzelter, David Bermbach:
Towards Predictive Replica Placement for Distributed Data Stores in Fog Environments. 280-281
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