Nikos Zacheilas

Orcid: 0000-0001-6707-9559

According to our database1, Nikos Zacheilas authored at least 26 papers between 2014 and 2020.

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Bibliography

2020
Dynamic Rate Control in the Kafka System.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

2019
A Holistic Energy-Efficient Real-Time Scheduler for Mixed Stream and Batch Processing Workloads.
IEEE Trans. Parallel Distributed Syst., 2019

Fast. Efficient Performance Predictions for Big Data Applications.
Proceedings of the IEEE 22nd International Symposium on Real-Time Distributed Computing, 2019

2018
Deterministic, elastic and real-time processing in the big data era
PhD thesis, 2018

Dione: A Framework for Automatic Profiling and Tuning Big Data Applications.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

On the Fly Load Balancing to Address Hot Topics in Topic-Based Pub/Sub Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

ORiON: Online ResOurce Negotiator for Multiple Big Data Analytics Frameworks.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Probabilistic Management of Late Arrival of Events.
Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, 2018

Scalable Distributed Top-k Join Queries in Topic-Based Pub/Sub Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloads.
EURASIP J. Embed. Syst., 2017

A Framework for Efficient Energy Scheduling of Spark Workloads.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

ExpREsS: EneRgy Efficient Scheduling of Mixed Stream and Batch Processing Workloads.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Maximizing Determinism in Stream Processing Under Latency Constraints.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

DIsCO: DynamIc Data COmpression in Distributed Stream Processing Systems.
Proceedings of the Distributed Applications and Interoperable Systems, 2017

Dione: Profiling spark applications exploiting graph similarity.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Intelligent Urban Data Monitoring for Smart Cities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016


Pareto-Based Scheduling of MapReduce Workloads.
Proceedings of the 19th IEEE International Symposium on Real-Time Distributed Computing, 2016

ChEsS: Cost-Effective Scheduling Across Multiple Heterogeneous Mapreduce Clusters.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

Dynamic Load Balancing Techniques for Distributed Complex Event Processing Systems.
Proceedings of the Distributed Applications and Interoperable Systems, 2016

2015
Dynamic reduce task adjustment for hadoop workloads.
Proceedings of the 19th Panhellenic Conference on Informatics, 2015

Towards Detection of Faulty Traffic Sensors in Real-Time.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

A Framework for Cost-Effective Scheduling of MapReduce Applications.
Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

Insights on a Scalable and Dynamic Traffic Management System.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Elastic complex event processing exploiting prediction.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Real-Time Scheduling of Skewed MapReduce Jobs in Heterogeneous Environments.
Proceedings of the 11th International Conference on Autonomic Computing, 2014


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