Demetris Trihinas
Demetris Trihinas
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Zitiert von
Zitiert von
Jcatascopia: Monitoring elastically adaptive applications in the cloud
D Trihinas, G Pallis, MD Dikaiakos
2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014
Advise–a framework for evaluating cloud service elasticity behavior
G Copil, D Trihinas, HL Truong, D Moldovan, G Pallis, S Dustdar, ...
International Conference on Service-Oriented Computing, 275-290, 2014
ADMin: Adaptive monitoring dissemination for the Internet of Things
D Trihinas, G Pallis, MD Dikaiakos
IEEE INFOCOM 2017-IEEE conference on computer communications, 1-9, 2017
AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices
D Trihinas, G Pallis, MD Dikaiakos
2015 IEEE International Conference on Big Data (Big Data), 717-726, 2015
Low-cost adaptive monitoring techniques for the internet of things
D Trihinas, G Pallis, M Dikaiakos
IEEE Transactions on Services Computing, 2018
Monitoring elastically adaptive multi-cloud services
D Trihinas, G Pallis, MD Dikaiakos
IEEE Transactions on Cloud Computing 6 (3), 800-814, 2015
Enabling interoperable cloud application management through an open source ecosystem
N Loulloudes, C Sofokleous, D Trihinas, MD Dikaiakos, G Pallis
IEEE internet Computing 19 (3), 54-59, 2015
DevOps as a Service: Pushing the Boundaries of Microservice Adoption
D Trihinas, A Tryfonos, M Dikaiakos, G Pallis
IEEE Internet Computing 22 (3), 65-71, 2018
Managing and monitoring elastic cloud applications
D Trihinas, C Sofokleous, N Loulloudes, A Foudoulis, G Pallis, ...
International Conference on Web Engineering, 523-527, 2014
Query-driven descriptive analytics for IoT and edge computing
M Symeonides, D Trihinas, Z Georgiou, G Pallis, M Dikaiakos
2019 IEEE International Conference on Cloud Engineering (IC2E), 1-11, 2019
StreamSight: A query-driven framework for streaming analytics in edge computing
Z Georgiou, M Symeonides, D Trihinas, G Pallis, MD Dikaiakos
2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing …, 2018
Enabling cloud application portability
D Antoniades, N Loulloudes, A Foudoulis, C Sophokleous, D Trihinas, ...
2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing …, 2015
C-eclipse: An open-source management framework for cloud applications
C Sofokleous, N Loulloudes, D Trihinas, G Pallis, MD Dikaiakos
European Conference on Parallel Processing, 38-49, 2014
ATMoN: Adapting the" Temporality" in Large-Scale Dynamic Networks
D Trihinas, LF Chiroque, G Pallis, AF Anta, MD Dikaiakos
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
On controlling elasticity of cloud applications in celar
G Copil, D Moldovan, HD Le, HL Truong, S Dustdar, C Sofokleous, ...
Web-Based Services: Concepts, Methodologies, Tools, and Applications, 1937-1967, 2016
Evaluating cloud service elasticity behavior
G Copil, HL Truong, D Moldovan, S Dustdar, D Trihinas, G Pallis, ...
International Journal of Cooperative Information Systems 24 (03), 1541002, 2015
Improving rule-based elasticity control by adapting the sensitivity of the auto-scaling decision timeframe
D Trihinas, Z Georgiou, G Pallis, MD Dikaiakos
International Workshop on Algorithmic Aspects of Cloud Computing, 123-137, 2017
Correlation analysis of forecasting methods: The case of the M4 competition
P Agathangelou, D Trihinas, I Katakis
International Journal of Forecasting 36 (1), 212-216, 2020
Fogify: A fog computing emulation framework
M Symeonides, Z Georgiou, D Trihinas, G Pallis, MD Dikaiakos
2020 IEEE/ACM Symposium on Edge Computing (SEC), 42-54, 2020
A self-stabilizing control plane for the edge and fog ecosystems
Z Georgiou, C Georgiou, G Pallis, EM Schiller, D Trihinas
arXiv preprint arXiv:2011.02190, 2020
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