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ORCIDIC2E 2023: Boston, MA, USA
- IEEE International Conference on Cloud Engineering, IC2E 2023, Boston, MA, USA, September 25-29, 2023. IEEE 2023, ISBN 979-8-3503-4394-6
- Naoki Matsumoto, Daisuke Kotani, Yasuo Okabe:
Efficient Container Image Updating in Low-bandwidth Networks with Delta Encoding. 1-10 - Hiroya Onoe, Daisuke Kotani, Yasuo Okabe:
Protocol-Independent Context Propagation for Sharing Microservices in Multiple Environments. 11-20 - Monica Vitali, Paul Schmiedmayer
, Valentin Bootz:
Enriching Cloud-native Applications with Sustainability Features. 21-31 - Mohammad Reza Saleh Sedghpour, David Garlan, Bradley R. Schmerl, Cristian Klein, Johan Tordsson:
Breaking the Vicious Circle: Self-Adaptive Microservice Circuit Breaking and Retry. 32-42 - Vasileios Karagiannis, Shievam Kashyap, Nikolas Zechner, Oliver Hödl, Georg Hartner, Manuel Llorca, Tooraj Jamasb, Stefan Grünberger, Marc Kurz, Christoph Schaffer, Stefan Schulte:
A Framework for Enabling Cloud Services to Leverage Energy Data. 43-50 - Francesco Saccani, Manuele Bettelli, Francesco Gentile, Michele Amoretti:
Energy-efficient OECT Sensor Data Analysis on Constrained Edge Devices. 51-58 - Robert Cordingly, Jasleen Kaur, Divyansh Dwivedi, Wes Lloyd:
Towards Serverless Sky Computing: An Investigation on Global Workload Distribution to Mitigate Carbon Intensity, Network Latency, and Cost. 59-69 - Nazmus Saquib, Shivaansh Kapoor, Chandra Krintz, Rich Wolski, Markus Mock:
GreenCoin: A Renewable Energy-Aware Cryptocurrency. 70-80 - Pierre Jacquet, Thomas Ledoux, Romain Rouvoy:
CloudFactory: An Open Toolkit to Generate Production-like Workloads for Cloud Infrastructures. 81-91 - Tobias Pfandzelter, David Bermbach:
Towards a Benchmark for Fog Data Processing. 92-98 - Govind KP, Guillaume Pierre, Romain Rouvoy:
Studying the Energy Consumption of Stream Processing Engines in the Cloud. 99-106 - Remo Andreoli, Tommaso Cucinotta:
Inducing Huge Tail Latency on a MongoDB deployment. 107-112 - Martin Asenov, Qiwen Deng, Gingfung Yeung, Adam Barker:
Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning. 113-120 - Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale:
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes. 121-130 - Tsung-Tso Hsieh, Che-Rung Lee:
Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters. 131-140 - Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. 141-152 - Samuel Rac, Mats Brorsson:
Cost-Effective Scheduling for Kubernetes in the Edge-to-Cloud Continuum. 153-160 - Thomas W. Pusztai, Stefan Nastic, Philipp Raith, Schahram Dustdar, Deepak Vij, Ying Xiong:
Vela: A 3-Phase Distributed Scheduler for the Edge-Cloud Continuum. 161-172 - Manju Ramesh, Dheeraj Chahal, Chetan Phalak, Rekha Singhal:
Multi-Objective Workflow Scheduling to Serverless Architecture in a Multi-Cloud Environment. 173-183 - Anupama Jagannathan, Christopher M. Dye, Karthick Rajamani, Chris Galtenberg, Benjamin Luong, Egan Ford:
REFORM: Increase alerts value using data driven approach. 184-192 - Abdullah Bittar, Ziqiang Wang, Changcheng Huang:
Service Function Chaining Implementation using VNFs and CNFs. 193-201 - Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao:
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. 202-211 - Ahmet-Serdar Karakaya, Leonard Thomas, Denis Koljada, David Bermbach:
A Crowdsensing Approach for Deriving Surface Quality of Cycling Infrastructure. 212-219 - Nick Stender, Tobias Pfandzelter, David Bermbach:
Eventually Consistent Configuration Management in Fog Systems With CRDTs. 220-221 - Simon Huber, Tobias Pfandzelter, David Bermbach:
Identifying Nearest Fog Nodes With Network Coordinate Systems. 222-223 - Tobias Pfandzelter, David Bermbach:
Evaluating LEO Edge Software in the Cloud with Celestial. 224-225 - S. Qasim, Mert Toslali, Quentin Clark, Srinivasan Parthasarathy, Fábio Oliveira, A. Liu, Gianluca Stringhini, Ayse K. Coskun:
Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. 226-227 - Yajie Zhou, Jason Li, Gianluca Stringhini, Ayse K. Coskun, Zaoxing Liu:
Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders. 228-229 - Abin B. George, Anthony Byrne, Ayse K. Coskun:
MicroFaaS on OpenFaaS: An Embedded Platform for Running Cloud Functions. 230-231 - Robert Cordingly, Wes Lloyd:
Enabling Serverless Sky Computing. 232-235 - Remo Andreoli, Tommaso Cucinotta:
Towards a Holistic Cloud System with End-to-End Performance Guarantees. 236-238
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