Dynamic Sizing of Cloud-Native Telco Data Centers With Digital Twin and Reinforcement Learning

Autor: Angelos Pentelas, Dimitris Katsiros, Dimitra Paranou, George Doukas, Konstantinos Chondralis, Giorgos Giannopoulos, Evangelos Angelou, George Papastefanatos

Publikováno v: IEEE Access, Vol 12, Pp 91462-91479 (2024)

Telco edge data centers (DCs) accommodate applications whose load fluctuates considerably during a day. This variability mandates swift and responsive resource adjustments to mitigate the risk of incurring unnecessary costs during off-peak periods, w

Externí odkaz: https://doaj.org/article/3aa3984f60c94f76a5b8aa49d060a29d

Resource-aware adaptive indexing for in situ visual exploration and analytics

Autor: Yannis Vassiliou, Nikos Bikakis, Panos Vassiliadis, George Papastefanatos, Stavros Maroulis

Publikováno v: The VLDB Journal. 32:199-227

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::17aff6b0781e2de70bdee71730a26194
https://doi.org/10.1007/s00778-022-00739-z

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data

Autor: Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Soren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muniz Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis

Publikováno v: Tirupathi, S, Salwala, D, Zizzo, G, Rawat, A, Purcell, M, Jensen, S K, Thomsen, C, Ho, N, Cuza, C E M, Brusokas, J, Pedersen, T B, Alexiou, G, Giannopoulos, G, Gidarakos, P, Kalimeris, A, Maroulis, S, Papastefanatos, G, Psarros, I, Stamatopoulos, V & Terrovitis, M 2022, Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data . in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (eds), 2022 IEEE International Conference on Big Data (Big Data) ., 10020540, IEEE Communications Society, pp. 3179-3185, 2022 IEEE International Conference on Big Data (Big Data), 17/12/2022 . https://doi.org/10.1109/BigData55660.2022.10020540

With the lowering costs of sensors, high-volume and high-velocity data are increasingly being generated and analyzed, especially in IoT domains like energy and smart homes. Consequently, applications that require accurate short-term forecasts and pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2118a8cdcd489e5491601b574f9032
https://vbn.aau.dk/da/publications/771ac3a1-1afc-44d3-b442-4f64c86ec4e0

LinkZoo

Autor: Ioannis Anagnostopoulos, George Papastefanatos, Marios Meimaris, Giorgos Alexiou

Publikováno v: International Journal on Semantic Web and Information Systems. 16:1-19

This article presents LinkZoo, a web-based, linked data enabled tool that supports collaborative management of information resources. LinkZoo addresses the modern needs of information-intensive collaboration environments to publish, manage, and share

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c69063c3af1a0ae2ff34bae2f9af77e
https://doi.org/10.4018/ijswis.2020070101

Assessing Staff's and Stroke Patients' Experiences in 8 Hospitals in Greece: Results from a Prospective Multi-Center Study ('SUN4Patients')

Autor: Petros, Galanis, Olympia, Konstantakopoulou, Iliana, Karagkouni, Paris, Gallos, Evangelos, Tsampalas, Maria, Lypiridou, Anastasia, Gamvroula, Georgios, Mavraganis, Efstathios, Manios, George, Ntaios, Efstathia, Karagkiozi, Haralampos, Milionis, Chara, Evangelou, Argyro, Tountopoulou, Ioanna, Kouzi, Sofia, Vassilopoulou, Athanasios, Protogerou, Stamatina, Samara, Asteria, Karapiperi, Christos, Savopoulos, Apostolos I, Hatzitolios, Athina, Myrou, Ioannis, Kalliontzakis, Aspasia, Kouridaki, Stefanos, Papastefanatos, George, Papastefanatos, Kostas, Vemmos, Panayiota, Sourtzi, Thalia, Bellali, Eleni, Korompoki, Daphne, Kaitelidou, Olga, Siskou

Publikováno v: Studies in health technology and informatics. 289

To assess stroke patient-reported experiences and hospital staff experiences, during hospital stay.Stroke patient-reported experiences (n=387) were recorded using the translated and culturally adapted NHS-Stroke Questionnaire into Greek and staff exp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::8f81af8e4df3c7fd5e8a935bf67efa22
https://pubmed.ncbi.nlm.nih.gov/35062174