default search action
John Violos
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j13]Athanasios Bimpas
, John Violos
Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges. Comput. Networks 239: 110156 (2024) - [j12]Fotios Voutsas, John Violos
Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective. Comput. Networks 250: 110543 (2024) - [j11]Stylianos Tsanakas
A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means. Future Gener. Comput. Syst. 154: 45-58 (2024) - [j10]Angelos-Christos Maroudis
Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing. IEEE Trans. Netw. Serv. Manag. 21(1): 605-620 (2024) - [c30]Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. ICC Workshops 2024: 365-370 - [i4]Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. CoRR abs/2407.00015 (2024) - [i3]John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris:
Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge. CoRR abs/2407.12808 (2024) - 2023
- [j9]Yosra Njah
Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case. IEEE Access 11: 136565-136576 (2023) - [j8]Theodoros Theodoropoulos
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study. Int. J. Inf. Manag. Data Insights 3(1): 100158 (2023) - [j7]Georgios Stavropoulos, John Violos
Enabling Artificial Intelligent Virtual Sensors in an IoT Environment. Sensors 23(3): 1328 (2023) - [c29]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. BigDataService 2023: 1-8 - [c28]Athanasios Chourlias, Theodoros Theodoropoulos, John Violos, Aris Leivadeas, Konstantinos Tserpes, Christos-Kyprianos Zalachoris:
A Brief Review of Population-based Methods for Task Offloading in Cloud-to-Edge Continuum. CloudNet 2023: 448-453 - [c27]Theodoros Theodoropoulos
Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing. FRAME@HPDC 2023: 7-11 - [c26]Georgios Anagnostopoulos
Enhancing Virtual Sensors to deal with Missing Values and Low Sampling Rates. MobileCloud 2023: 39-44 - [c25]Fotios Voutsas, John Violos, Aris Leivadeas:
A Fault Detection Mechanism for Database Management Systems on Mobile Edge Computing. MobileCloud 2023: 45-50 - [i2]Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou:
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction. CoRR abs/2302.05336 (2023) - [i1]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. CoRR abs/2308.03171 (2023) - 2022
- [j6]Aroosa Hameed, John Violos, Aris Leivadeas
A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario. IEEE Access 10: 21193-21210 (2022) - [j5]John Violos
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network. Comput. Networks 217: 109339 (2022) - [j4]Aroosa Hameed, John Violos
Toward QoS Prediction Based on Temporal Transformers for IoT Applications. IEEE Trans. Netw. Serv. Manag. 19(4): 4010-4027 (2022) - [c24]Theodoros Theodoropoulos, Antonios Makris
An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures. FRAME@HPDC 2022: 19-24 - [c23]Konstantina Karathanasopoulou, Angelos-Christos Maroudis, George Dimitrakopoulos, Elias Panagiotopoulos, John Violos:
Multi-Level Cognitive, Risk-Aware Reconfiguration of the Level of Autonomy in Highly Automated Vehicles. IECON 2022: 1-6 - [c22]Faïçal Sawadogo, John Violos, Aroosa Hameed, Aris Leivadeas:
An Unsupervised Machine Learning Approach for IoT Device Categorization. MeditCom 2022: 25-30 - 2021
- [j3]Firdose Saeik, Marios Avgeris
Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions. Comput. Networks 195: 108177 (2021) - [c21]Theodoros Theodoropoulos, Angelos-Christos Maroudis, John Violos, Konstantinos Tserpes:
An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction. BigDataService 2021: 33-40 - [c20]Ioannis Korontanis
Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision. FRAME@HPDC 2021: 9-14 - [c19]John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou:
Hypertuming GRU Neural Networks for Edge Resource Usage Prediction. ISCC 2021: 1-8 - [c18]Aroosa Hameed, John Violos, Nina Santi
A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 29-36 - [c17]Firdose Saeik, John Violos, Aris Leivadeas, Marios Avgeris
User Association and Behavioral Characterization during Task Offloading at the Edge. MeditCom 2021: 70-75 - [c16]Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas:
An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction. MobiWac 2021: 25-32 - [c15]Nina Santi
Automated and Reproducible Application Traces Generation for IoT Applications. Q2SWinet 2021: 17-24 - [c14]Iraklis Varlamis, Christos Sardianos, Vania Bogorny, Luis Otávio Alvares, Jônata Tyska Carvalho
A novel similarity measure for multiple aspect trajectory clustering. SAC 2021: 551-558 - [c13]John Violos, Tita Pagoulatou, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou:
Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model. SAI (2) 2021: 562-580 - 2020
- [j2]Alexandros Psychas, John Violos, Fotis Aisopos
Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS. Future Gener. Comput. Syst. 109: 657-667 (2020) - [c12]John Violos, Evangelos Psomakelis
Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge. GECON 2020: 67-74 - [c11]John Violos, Stylianos Tsanakas, Maro Androutsopoulou
Next Position Prediction using LSTM Neural Networks. SETN 2020: 232-240
2010 – 2019
- 2019
- [c10]John Violos, Sotiris Pelekis
Predicting Visitor Distribution for Large Events in Smart Cities. BigComp 2019: 1-8 - [c9]Ioannis Bouras, Fotis Aisopos, John Violos, George Kousiouris, Alexandros Psychas, Theodora A. Varvarigou, Gerasimos Xydas
Mapping of Quality of Service Requirements to Resource Demands for IaaS. CLOSER 2019: 263-270 - [c8]John Violos, Evangelos Psomakelis
Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization. COINS 2019: 7-12 - 2018
- [j1]John Violos, Konstantinos Tserpes, Iraklis Varlamis, Theodora A. Varvarigou:
Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams. Frontiers Appl. Math. Stat. 4: 41 (2018) - 2017
- [c7]Emanuele Carlini
BASMATI: Cloud Brokerage Across Borders for Mobile Users and Applications. ESOCC Workshops 2017: 181-186 - [c6]Jörn Altmann
BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users. GECON 2017: 56-66 - [c5]John Violos, Vinicius Monteiro de Lira
User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures. GECON 2017: 193-203 - [c4]Ganis Zulfa Santoso, Young-Woo Jung, Seong-Woo Seok, Emanuele Carlini
Dynamic Resource Selection in Cloud Service Broker. HPCS 2017: 233-235 - 2016
- [c3]Fotis Aisopos, Dimitrios Tzannetos, John Violos, Theodora A. Varvarigou:
Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter. BigDataService 2016: 44-51 - [c2]John Violos, Konstantinos Tserpes, Evangelos Psomakelis, Konstantinos Psychas, Theodora A. Varvarigou:
Sentiment Analysis using Word-Graphs. WIMS 2016: 22:1-22:9 - 2014
- [c1]John Violos, Konstantinos Tserpes
Clustering Documents using the 3-Gram Graph Representation Model. Panhellenic Conference on Informatics 2014: 29:1-29:5
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: