Demetris Trihinas

Orcid: 0000-0002-9540-7342

Affiliations:
  • University of Cyprus, Nicosia, Cyprus (PhD 2018)


According to our database1, Demetris Trihinas authored at least 38 papers between 2014 and 2023.

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Bibliography

2023
Special Issue on benchmarking, experimentation tools, and reproducible practices for data-intensive systems from edge to cloud.
Softw. Pract. Exp., December, 2023

Towards Efficient Resource Allocation for Federated Learning in Virtualized Managed Environments.
Future Internet, 2023

Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings.
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

Energy-Aware Streaming Analytics Job Scheduling for Edge Computing.
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2023

2022
EQUALITY: Quality-aware intensive analytics on the edge.
Inf. Syst., 2022

Demo: The RAINBOW Analytics Stack for the Fog Continuum.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

BenchPilot: Repeatable & Reproducible Benchmarking for Edge Micro-DCs.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

5G-Slicer: An emulator for mobile IoT applications deployed over 5G network slices.
Proceedings of the Seventh IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2022

Demo: Emulating 5G-Ready Mobile IoT Services.
Proceedings of the Seventh IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2022

Demo: FlockAI - A Framework for Rapidly Testing ML-Driven Drone Applications.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

2021
Low-Cost Adaptive Monitoring Techniques for the Internet of Things.
IEEE Trans. Serv. Comput., 2021

FlockAI: A Testing Suite for ML-Driven Drone Applications.
Future Internet, 2021

Composable Energy Modeling for ML-Driven Drone Applications.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021

2020
Interoperable Data Extraction and Analytics Queries over Blockchains.
Trans. Large Scale Data Knowl. Centered Syst., 2020

A Multi-Factor Analysis of Forecasting Methods: A Study on the M4 Competition.
Data, 2020

A Self-stabilizing Control Plane for the Edge and Fog Ecosystems.
CoRR, 2020

A Self-stabilizing Control Plane for Fog Ecosystems.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Demo: Emulating Geo-Distributed Fog Services.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Fogify: A Fog Computing Emulation Framework.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
A study on speculative task scheduling for apache spark in fog computing realms.
Proceedings of the 23rd Pan-Hellenic Conference on Informatics, 2019

Datachain: A Query Framework for Blockchains.
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

Query-Driven Descriptive Analytics for IoT and Edge Computing.
Proceedings of the IEEE International Conference on Cloud Engineering, 2019

2018
Monitoring Elastically Adaptive Multi-Cloud Services.
IEEE Trans. Cloud Comput., 2018

DevOps as a Service: Pushing the Boundaries of Microservice Adoption.
IEEE Internet Comput., 2018

StreamSight: A Query-Driven Framework for Streaming Analytics in Edge Computing.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

ATMoN: Adapting the "Temporality" in Large-Scale Dynamic Networks.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
ADMin: Adaptive monitoring dissemination for the Internet of Things.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Improving Rule-Based Elasticity Control by Adapting the Sensitivity of the Auto-Scaling Decision Timeframe.
Proceedings of the Algorithmic Aspects of Cloud Computing - Third International Workshop, 2017

2015
Enabling Interoperable Cloud Application Management through an Open Source Ecosystem.
IEEE Internet Comput., 2015

Evaluating Cloud Service Elasticity Behavior.
Int. J. Cooperative Inf. Syst., 2015

Enabling Cloud Application Portability.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Managing and Monitoring Elastic Cloud Applications.
Proceedings of the Web Engineering, 14th International Conference, 2014

ADVISE - A Framework for Evaluating Cloud Service Elasticity Behavior.
Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

c-Eclipse: An Open-Source Management Framework for Cloud Applications.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

JCatascopia: Monitoring Elastically Adaptive Applications in the Cloud.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014


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