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14th DEBS 2020: Montreal, Quebec, Canada
- Julien Gascon-Samson, Kaiwen Zhang, Khuzaima Daudjee, Bettina Kemme:
14th ACM International Conference on Distributed and Event-based Systems, DEBS 2020, Montreal, Quebec, Canada, July 13-17, 2020. ACM 2020, ISBN 978-1-4503-8028-7 - M. Tamer Özsu:
Streaming graph processing and analytics. 1 - Joelle Pineau:
Building reproducible, reusable, and robust machine learning software. 2 - Pedro García López, Aitor Arjona
, Josep Sampé, Aleksander Slominski
Triggerflow: trigger-based orchestration of serverless workflows. 3-14 - Omar Farhat, Harsh Bindra, Khuzaima Daudjee:
Leaving stragglers at the window: low-latency stream sampling with accuracy guarantees. 15-26 - Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl:
A survey of adaptive sampling and filtering algorithms for the internet of things. 27-38 - Daniel Presser
EdgeScaler: effective elastic scaling for graph stream processing systems. 39-50 - José Roberto Nascimento, José Bernardi S. Nunes, Eduardo De Lucena Falcão, Lilia Rodrigues Sampaio, Andrey Brito:
On the tracking of sensitive data and confidential executions. 51-60 - Scott Eisele, Taha Eghtesad, Nicholas Troutman
Mechanisms for outsourcing computation via a decentralized market. 61-72 - Pascal Maissen, Pascal Felber
FaaSdom: a benchmark suite for serverless computing. 73-84 - Mario Scrocca
The Kaiju project: enabling event-driven observability. 85-96 - Magnus Karsten Oplenskedal, Amir Taherkordi, Peter Herrmann
DeepMatch: deep matching for in-vehicle presence detection in transportation. 97-108 - Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel:
hSPICE: state-aware event shedding in complex event processing. 109-120 - Huy Hoang, Benjamin Cassell, Tim Brecht, Samer Al-Kiswany:
RocketBufs: a framework for building efficient, in-memory, message-oriented middleware. 121-132 - Christian Göttel
Hermes: enabling energy-efficient IoT networks with generalized deduplication. 133-136 - James R. Clavin, Pradeep M. Prakash, Sisi Duan:
ByzGame: byzantine generals game. 137-140 - Joris van Rooij, Vincenzo Gulisano, Marina Papatriantafilou:
TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation. 141-152 - Ioannis Kontopoulos
Classification of vessel activity in streaming data. 153-164 - Patrick Wiener, Philipp Zehnder, Dominik Riemer:
Managing geo-distributed stream processing pipelines for the MoT with StreamPipes edge extensions. 165-176 - Charalampos Stylianopoulos, Magnus Almgren
On the performance of commodity hardware for low latency and low jitter packet processing. 177-182 - Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas:
The DEBS 2020 grand challenge. 183-186 - Pedro Silva, Wang Yue, Tilmann Rabl:
Incremental stream query analytics. 187-192 - Michael Brand, Tobias Brandt, Marco Grawunder:
Real-time detection of smart meter events with odysseus. 193-198 - Zongshun Zhang, Ethan Timoteo Go:
Anomaly detection for NILM task with Apache Flink. 199-203 - Manuja DeSilva, Michael Hendrick:
Using streaming data and Apache Flink to infer energy consumption. 204-207 - Gengtao Xu, Jing Qin, Runqi Tian:
Optimized parallel implementation of sequential clustering-based event detection. 208-213 - Vincenzo Gulisano, Dimitris Palyvos-Giannas, Bastian Havers
The role of event-time order in data streaming analysis. 214-217 - Suyash Gupta
Blockchain consensus unraveled: virtues and limitations. 218-221 - Muhammad Usama Sardar:
Trade-off analysis of thermal-constrained scheduling strategies in multi-core systems. 222-225 - Philsy Baban:
Pre-processing and data validation in IoT data streams. 226-229 - Stuart Jamieson
Dynamic scaling of distributed data-flows under uncertainty. 230-233
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