Research Output per year
Fingerprint Dive into the research topics where Demetris Trihinas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 4 Similar Profiles
Monitoring
Engineering & Materials Science
Elasticity
Engineering & Materials Science
Processing
Engineering & Materials Science
Costs
Engineering & Materials Science
Testbeds
Engineering & Materials Science
Energy utilization
Engineering & Materials Science
Cloud computing
Engineering & Materials Science
Energy efficiency
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2014 2019
A study on speculative task scheduling for apache spark in fog computing realms
Symeonides, M. & Trihinas, D., Nov 2019, Proceedings of the 23rd Pan-Hellenic Conference on Informatics (PCI 2019). Association for Computing Machinery (ACM), p. 59-65Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Correlation analysis of forecasting methods: The case of the M4 competition
Agathangelou, P., Trihinas, D. & Katakis, I., 1 Jan 2019, In : International Journal of Forecasting.Research output: Contribution to journal › Comment/debate
Forecasting method
Correlation analysis
Forecasting competitions
Forecasting error
M-Competition
Datachain: A Query Framework for Blockchains
Trihinas, D., Nov 2019, MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems. Association for Computing Machinery (ACM), p. 134-141 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1
Citation
(Scopus)
Query-Driven Descriptive Analytics for IoT and Edge Computing
Symeonides, M., Trihinas, D., Georgiou, Z., Pallis, G. & Dikaiakos, M. D., 2019, 2019 IEEE International Conference on Cloud Engineering (IC2E). Prague, Czech Republic: IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
3
Citations
(Scopus)
StreamSight: A query-driven framework for streaming analytics in edge computing
Georgiou, Z., Symeonides, M., Trihinas, D., Pallis, G. & Dikaiakos, M. D., 4 Jan 2019, Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018. Spillner, J. & Sill, A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 143-152 10 p. 8603161. (Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Processing
Electric sparks
Engines
Monitoring
Query