CloudFactory: An Open Toolkit to Generate Production-like Workloads for Cloud Infrastructures
Pierre Jacquet, Thomas Ledoux, and Romain Rouvoy
A Framework for Enabling Cloud Services to Leverage Energy Data
Vasileios Karagiannis, Shievam Kashyap, Nikolas Zechner, Oliver Hödl, Georg Hartner, Manuel Llorca, Tooraj Jamasb, Stefan Grünberger, Marc Kurz, Christoph Schaffer, and Stefan Schulte
Towards a Benchmark for Fog Data Processing (Short Paper)
Tobias Pfandzelter and David Bermbach
Learning to Score: Tuning Cluster Schedulers through Reinforcement Learning
Martin Asenov, Qiwen Deng, Gingfung Yeung, and Adam Barker
Efficient Container Image Updating in Low-bandwidth Networks with Delta Encoding
Naoki Matsumoto, Daisuke Kotani, and Yasuo Okabe
Protocol-Independent Context Propagation for Sharing Microservices in Multiple Environments
Hiroya Onoe, Daisuke Kotani, and Yasuo Okabe
Cost-Effective Scheduling for Kubernetes in the Edge-to-Cloud Continuum
Samuel Rac and Mats Brorsson
Vela: A 3-Phase Distributed Scheduler for the Edge-Cloud Continuum
Thomas Werner Pusztai, Stefan Nastic, Philipp Raith, Schahram Dustdar, Deepak Vij, and Ying Xiong
Energy-efficient OECT Sensor Data Analysis on Constrained Edge Devices
Francesco Saccani, Manuele Bettelli, Francesco Gentile, and Michele Amoretti
Studying the Energy Consumption of Stream Processing Engines in the Cloud
Govind K.P., Guillaume Pierre, and Romain Rouvoy
A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes
Akhilesh Raj, Swann Perarnau, and Aniruddha Gokhale
Towards Federated Serverless Computing: An Investigation on Global Workload Distribution to Mitigate Carbon Intensity, Network Latency, and Cost
Robert Cordingly, Jasleen Kaur, Divyansh Dwivedi, and Wes Lloyd
Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Cluster
Tsung-Tso Hsieh and Che-Rung Lee
Enriching Cloud-native Applications with Sustainability Features
Monica Vitali, Paul Schmiedmayer, and Valentin Bootz
GreenCoin: A Renewable Energy-Aware Cryptocurrency
Nazmus Saquib, Shivaansh Kapoor, Chandra Krintz, Rich Wolski, and Markus Mock
Breaking the Vicious Circle: Self-Adaptive Microservice Circuit Breaking and Retry
Mohammad Reza Saleh Sedghpour, David Garlan, Bradley Schmerl, Cristian Klein, and Johan Tordsson
Inducing Huge Tail Latency on a MongoDB deployment (Short Paper)
Remo Andreoli and Tommaso Cucinotta
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems
Dominik Scheinert, Fabian Casares, Morgan Geldenhuys, Kevin Styp-Rekowski, and Odej Kao
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning
Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, and Fabio Petrillo
A Crowdsensing Approach for Deriving Surface Quality of Cycling Infrastructure
Ahmet-Serdar Karakaya, Leonard Thomas, Denis Koljada, and David Bermbach
Service Function Chaining Implementation using VNFs and CNFs
Abdullah Bittar, Ziqiang Wang, and Changcheng Huang
Optimization of Datacenter Selection Policy in Cloud Computing using Differential Evolution Algorithm
Shusmoy Chowdhury and Ajay Katangur
Poster Paper: Eventually Consistent Configuration Management in Fog Systems with CRDTs
Nick Stender, Tobias Pfandzelter, and David Bermbach
Poster Paper: Identifying Nearest Fog Nodes With Network Coordinate Systems
Simon Huber, Tobias Pfandzelter, and David Bermbach
Demo Paper: Evaluating LEO Edge Software in the Cloud with Celestial
Tobias Pfandzelter and David Bermbach
Efficient Navigation of Cloud Performance with 'nuffTrace
Syed Qasim, Mert Toslali, Srinivasan Parthasarathy, Fabio Oliveira, Alan Liu, Stringhini Gianluca, and Ayse Coskun
Enabling Privacy-preserving Network Telemetry with Autoencoders
Yajie Zhou, Jason Li, Gianluca Stringhini, Ayse K. Coskun, and Zaoxing Liu
MicroFaaS on OpenFaaS: Embedded Platform for Running Cloud Functions
Abin George, Anthony Byrne, and Ayse Coskun