Publications
2024
Kostamis, Periklis; Sendros, Andreas; Efraimidis, Pavlos
Data management in Ethereum DApps: A cost and performance analysis Journal Article
In: Future Generation Computer Systems, vol. 153, pp. 193-205, 2024, ISSN: 0167-739X.
@article{KOSTAMIS2024193,
title = {Data management in Ethereum DApps: A cost and performance analysis},
author = {Periklis Kostamis and Andreas Sendros and Pavlos Efraimidis},
url = {https://www.sciencedirect.com/science/article/pii/S0167739X23004351},
doi = {https://doi.org/10.1016/j.future.2023.11.026},
issn = {0167-739X},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Future Generation Computer Systems},
volume = {153},
pages = {193-205},
abstract = {The cost of interacting with a blockchain and the time required to search and retrieve information from it are important factors in the design of Decentralized Applications (DApps). The corresponding approaches for data management in Ethereum vary from pure on-chain solutions to hybrid architectures. In this work, we thoroughly examine a wide range of data management methods, including unconventional ones, and evaluate them in terms of storage cost and retrieval latency while considering the impact of recent hard forks. More precisely, we elaborate on the use of Smart Contract (SC) storage as a data store for DApps and in view of the prohibitive cost inherent to this approach, we present and compare methods for low-cost data handling in Ethereum, namely the event-logs, the transaction payload, and the almost surprising exploitation of unused function arguments. In addition, we study hybrid schemes by using IPFS and Swarm as storage platforms and Ethereum as a timestamping proof mechanism. Such schemes are especially effective when large chunks of data have to be managed. The upload and retrieval performance of these platforms and the cost associated with storing (on-chain) the identifiers of the uploaded data are of utmost importance and therefore are investigated in detail.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The cost of interacting with a blockchain and the time required to search and retrieve information from it are important factors in the design of Decentralized Applications (DApps). The corresponding approaches for data management in Ethereum vary from pure on-chain solutions to hybrid architectures. In this work, we thoroughly examine a wide range of data management methods, including unconventional ones, and evaluate them in terms of storage cost and retrieval latency while considering the impact of recent hard forks. More precisely, we elaborate on the use of Smart Contract (SC) storage as a data store for DApps and in view of the prohibitive cost inherent to this approach, we present and compare methods for low-cost data handling in Ethereum, namely the event-logs, the transaction payload, and the almost surprising exploitation of unused function arguments. In addition, we study hybrid schemes by using IPFS and Swarm as storage platforms and Ethereum as a timestamping proof mechanism. Such schemes are especially effective when large chunks of data have to be managed. The upload and retrieval performance of these platforms and the cost associated with storing (on-chain) the identifiers of the uploaded data are of utmost importance and therefore are investigated in detail.
Drosatos, George; Efraimidis, Pavlos; Arampatzis, Avi (Ed.)
Federated and Transfer Learning Applications. Special Issue Reprint Miscellaneous
2024, ISBN: 978-3-7258-0076-6.
@misc{drosatos2024federated,
title = {Federated and Transfer Learning Applications. Special Issue Reprint},
editor = {George Drosatos and Pavlos Efraimidis and Avi Arampatzis},
url = {https://www.mdpi.com/books/reprint/9059-federated-and-transfer-learning-applications},
isbn = {978-3-7258-0076-6},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
publisher = {MDPI-Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Tsourgiannis, Lambros; Valsamidis, Stavros; Efraimidis, Pavlos; Drosatos, George
The effect of COVID-19 on tourist behaviour Journal Article
In: International Journal of Technology Marketing, vol. 18, no. 1, pp. 1-19, 2024.
@article{tsourgiannis2024effectb,
title = {The effect of COVID-19 on tourist behaviour},
author = {Lambros Tsourgiannis and Stavros Valsamidis and Pavlos Efraimidis and George Drosatos},
url = {https://doi.org/10.1504/IJTMKT.2024.135671},
year = {2024},
date = {2024-04-04},
urldate = {2024-04-04},
journal = {International Journal of Technology Marketing},
volume = {18},
number = {1},
pages = {1-19},
abstract = {This paper investigates the impact of COVID-19 on tourists' attitudes regarding their decision to go on holidays and to classify them into groups based on their attitudes. The study aims to explore the effect of the pandemic on tourists' behaviour in a context where tourism plays a significant role from a cultural and economic perspective. Therefore, a primary survey was undertaken in the summer of 2020 on 1,260 Greek tourists that were selected at random. Principal component analysis was conducted to identify the key dimensions that describe the main attitudes of Greek tourists due to COVID-19, regarding their decision to go on holidays including entertainment out of the hotel, eating inside the hotel and entertainment with not organised activities. All the aforementioned affect the Greek tourists in their decision to go on holidays due to COVID-19 pandemic.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper investigates the impact of COVID-19 on tourists' attitudes regarding their decision to go on holidays and to classify them into groups based on their attitudes. The study aims to explore the effect of the pandemic on tourists' behaviour in a context where tourism plays a significant role from a cultural and economic perspective. Therefore, a primary survey was undertaken in the summer of 2020 on 1,260 Greek tourists that were selected at random. Principal component analysis was conducted to identify the key dimensions that describe the main attitudes of Greek tourists due to COVID-19, regarding their decision to go on holidays including entertainment out of the hotel, eating inside the hotel and entertainment with not organised activities. All the aforementioned affect the Greek tourists in their decision to go on holidays due to COVID-19 pandemic.
2023
Drosatos, George; Efraimidis, Pavlos; Arampatzis, Avi
Federated and Transfer Learning Applications Journal Article
In: Applied Sciences, vol. 13, no. 21, pp. 11722, 2023, ISSN: 2076-3417.
@article{Drosatos_2023,
title = {Federated and Transfer Learning Applications},
author = {George Drosatos and Pavlos Efraimidis and Avi Arampatzis},
url = {http://dx.doi.org/10.3390/app132111722},
doi = {10.3390/app132111722},
issn = {2076-3417},
year = {2023},
date = {2023-10-01},
urldate = {2023-10-01},
journal = {Applied Sciences},
volume = {13},
number = {21},
pages = {11722},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Perifanis, Vasileios; Pavlidis, Nikolaos; Koutsiamanis, Remous-Aris; Efraimidis, Pavlos
Federated learning for 5G base station traffic forecasting Journal Article
In: Computer Networks, vol. 235, pp. 109950, 2023.
@article{Perifanisetal2023,
title = {Federated learning for 5G base station traffic forecasting},
author = {Vasileios Perifanis and Nikolaos Pavlidis and Remous-Aris Koutsiamanis and Pavlos Efraimidis },
doi = {10.1016/j.comnet.2023.109950},
year = {2023},
date = {2023-09-01},
urldate = {2023-09-01},
journal = {Computer Networks},
volume = {235},
pages = {109950},
keywords = {},
pubstate = {published},
tppubtype = {article}
}