JCatascopia: Monitoring Elastically Adaptive Applications in the Cloud. - Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (CCGRID, 2014)

c-Eclipse: An Open-Source Management Framework for Cloud Applications. - Chrystalla Sofokleous; Nicholas Loulloudes; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (Euro-Par, 2014)

ADVISE - A Framework for Evaluating Cloud Service Elasticity Behavior. - Georgiana Copil; Demetris Trihinas; Hong Linh Truong 001; Daniel Moldovan; George Pallis 001; Schahram Dustdar; Marios D. Dikaiakos (ICSOC, 2014)

Managing and Monitoring Elastic Cloud Applications. - Demetris Trihinas; Chrystalla Sofokleous; Nicholas Loulloudes; Athanasios Foudoulis (ICWE, 2014)

AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices. - Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (IEEE BigData, 2015)

Enabling Cloud Application Portability. - Demetris Antoniades; Nicholas Loulloudes; Athanasios Foudoulis; Chrystalla Sofokleous; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos; Harald Kornmayer (UCC, 2015)

Evaluating Cloud Service Elasticity Behavior. - Georgiana Copil; Hong Linh Truong 001; Daniel Moldovan; Schahram Dustdar; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (Int. J. Cooperative Inf. Syst., 2015)

Enabling Interoperable Cloud Application Management through an Open Source Ecosystem. - Nicholas Loulloudes; Chrystalla Sofokleous; Demetris Trihinas; Marios D. Dikaiakos; George Pallis 001 (IEEE Internet Comput., 2015)

Improving Rule-Based Elasticity Control by Adapting the Sensitivity of the Auto-Scaling Decision Timeframe. - Demetris Trihinas; Zacharias Georgiou; George Pallis 001; Marios D. Dikaiakos (ALGOCLOUD, 2017)

ADMin: Adaptive monitoring dissemination for the Internet of Things. - Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (INFOCOM, 2017)

ATMoN: Adapting the "Temporality" in Large-Scale Dynamic Networks. - Demetris Trihinas; Luis F. Chiroque; George Pallis 001; Antonio Fernández Anta; Marios D. Dikaiakos (ICDCS, 2018)

StreamSight: A Query-Driven Framework for Streaming Analytics in Edge Computing. - Zacharias Georgiou; Moysis Symeonides; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (UCC, 2018)

DevOps as a Service: Pushing the Boundaries of Microservice Adoption. - George Pallis 001; Demetris Trihinas; Athanasios Tryfonos; Marios D. Dikaiakos (IEEE Internet Comput., 2018)

Monitoring Elastically Adaptive Multi-Cloud Services. - Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (IEEE Trans. Cloud Comput., 2018)

Query-Driven Descriptive Analytics for IoT and Edge Computing. - Moysis Symeonides; Demetris Trihinas; Zacharias Georgiou; George Pallis 001; Marios D. Dikaiakos (IC2E, 2019)

Datachain: A Query Framework for Blockchains. - Demetris Trihinas (MEDES, 2019)

A study on speculative task scheduling for apache spark in fog computing realms. - Moysis Symeonides; Demetris Trihinas (PCI, 2019)

Fogify: A Fog Computing Emulation Framework. - Moysis Symeonides; Zacharias Georgiou; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (SEC, 2020)

Demo: Emulating Geo-Distributed Fog Services. - Moysis Symeonides; Zacharias Georgiou; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (SEC, 2020)

A Self-stabilizing Control Plane for Fog Ecosystems. - Zacharias Georgiou; Chryssis Georgiou; George Pallis 001; Elad Michael Schiller; Demetris Trihinas (UCC, 2020)

A Self-stabilizing Control Plane for the Edge and Fog Ecosystems. - Zacharias Georgiou; Chryssis Georgiou; George Pallis 001; Elad Michael Schiller; Demetris Trihinas (CoRR, 2020)

A Multi-Factor Analysis of Forecasting Methods: A Study on the M4 Competition. - Pantelis Agathangelou; Demetris Trihinas; Ioannis Katakis 001 (Data, 2020)

Interoperable Data Extraction and Analytics Queries over Blockchains. - Demetris Trihinas (Trans. Large Scale Data Knowl. Centered Syst., 2020)

Composable Energy Modeling for ML-Driven Drone Applications. - Demetris Trihinas; Michalis Agathocleous; Karlen Avogian (IC2E, 2021)

FlockAI: A Testing Suite for ML-Driven Drone Applications. - Demetris Trihinas; Michalis Agathocleous; Karlen Avogian; Ioannis Katakis 001 (Future Internet, 2021)

Low-Cost Adaptive Monitoring Techniques for the Internet of Things. - Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (IEEE Trans. Serv. Comput., 2021)

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. - Demetris Trihinas; Lauritz Thamsen; Jossekin Beilharz; Moysis Symeonides (IC2E, 2022)

Demo: FlockAI - A Framework for Rapidly Testing ML-Driven Drone Applications. - Demetris Trihinas; Michalis Agathocleous; Karlen Avogian (ICDCS, 2022)

Demo: Emulating 5G-Ready Mobile IoT Services. - Moysis Symeonides; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (IoTDI, 2022)

5G-Slicer: An emulator for mobile IoT applications deployed over 5G network slices. - Moysis Symeonides; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos; Constantinos Psomas; Ioannis Krikidis (IoTDI, 2022)

BenchPilot: Repeatable & Reproducible Benchmarking for Edge Micro-DCs. - Joanna Georgiou; Moysis Symeonides; Michalis Kasioulis; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (ISCC, 2022)

Demo: The RAINBOW Analytics Stack for the Fog Continuum. - Moysis Symeonides; Demetris Trihinas; Joanna Georgiou; Michalis Kasioulis; George Pallis 001; Marios D. Dikaiakos; Theodoros Toliopoulos; Anna-Valentini Michailidou; Anastasios Gounaris (ISCC, 2022)

EQUALITY: Quality-aware intensive analytics on the edge. - Anna-Valentini Michailidou; Anastasios Gounaris; Moysis Symeonides; Demetris Trihinas (Inf. Syst., 2022)

Energy-Aware Streaming Analytics Job Scheduling for Edge Computing. - Demetris Trihinas; Moysis Symeonides; Joanna Georgiou; George Pallis 001; Marios D. Dikaiakos (CloudCom, 2023)

SparkEdgeEmu: An Emulation Framework for Edge-Enabled Apache Spark Deployments. - Moysis Symeonides; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (Euro-Par, 2023)

Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings. - Demetris Trihinas; Lauritz Thamsen (Euro-Par Workshops, 2023)

FedBed: Benchmarking Federated Learning over Virtualized Edge Testbeds. - Moysis Symeonides; Fotis Nikolaidis; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos; Angelos Bilas (UCC, 2023)

Towards Efficient Resource Allocation for Federated Learning in Virtualized Managed Environments. - Fotis Nikolaidis; Moysis Symeonides; Demetris Trihinas (Future Internet, 2023)

Special Issue on benchmarking, experimentation tools, and reproducible practices for data-intensive systems from edge to cloud. - Lauritz Thamsen; David Bermbach; Demetris Trihinas (Softw. Pract. Exp., 2023)

Towards Low-Cost and Energy-Aware Inference for EdgeAI Services via Model Swapping. - Demetris Trihinas; Panagiotis Michael; Moysis Symeonides (IC2E, 2024)

CarbonOracle: Automating Energy Mix & Renewable Energy Source Forecast Modeling for Carbon-Aware Micro Data Centers. - Moysis Symeonides; Nicoletta Tsiopani; Georgios Maouris; Demetris Trihinas; George Pallis 001; Marios D. Dikaiakos (UCC, 2024)

Evaluating DL Model Scaling Trade-Offs During Inference via an Empirical Benchmark Analysis. - Demetris Trihinas; Panagiotis Michael; Moysis Symeonides (Future Internet, 2024)