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personal data approved: 2023. XII. 02.
Personal data
László Toka
name László Toka
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 100%
accreditation statement submitted to: Budapest University of Technology and Economics
Contact details
phone number +36 1 463-1576
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2011
discipline to which degree belongs computer sciences
institution granting the degree Telecom ParisTech
Employment
2014 - Budapest University of Technology and Economics
egyetemi kutató
Thesis topic supervisor
number of doctoral students supervised until now 3
number of students who fulfilled course requirements 0
students who obtained their degrees:
completed course requirement:
Márk Péter Szalay (PhD) 2022/01  DSI-BME
present PhD students:
Marcell Szabó (PhD) (2028/01)  DSI-BME
Amad Salim Al Nahdi (PhD) (2026/08)  DSI-BME
hiányos adatú hallgatói:
Pegah Rahimian PhD (2023/08)  DSI-BME
  Thesis topic proposals
Research
research area artificial intelligence, cloud computing, distributed systems, networks, data centers, software-defined networks, data mining, data analytics, big data
research field in which current research is conducted computer sciences
Publications
2022

Szalay Mark, Matray Peter, Toka Laszlo: Real-Time FaaS: Towards a Latency Bounded Serverless Cloud, IEEE TRANSACTIONS ON CLOUD COMPUTING
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2022

Toka Laszlo: The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications, IEEE ACCESS 10: pp. 97971-97982.
type of document: Journal paper/Article
language: English
URL 
2021

Laszlo Toka, Gergely Dobreff, Balazs Fodor, Balazs Sonkoly: Machine Learning-based Scaling Management for Kubernetes Edge Clusters, IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 18: (1) pp. 958-972.
type of document: Journal paper/Article
number of independent citations: 23
language: English
URL 
2021

Toka László: Ultra-Reliable and Low-Latency Computing in the Edge with Kubernetes, JOURNAL OF GRID COMPUTING 19: (3) 31
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2021

Sonkoly Balázs, Czentye János, Szalay Márk, Németh Balázs, Toka László: Survey on Placement Methods in the Edge and Beyond, IEEE COMMUNICATIONS SURVEYS AND TUTORIALS 23: (4) pp. 2590-2629.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL 
2020

Varga Pal, Peto Jozsef, Franko Attila, Balla David, Haja David, Janky Ferenc, Soos Gabor, Ficzere Daniel, Maliosz Markosz, Toka Laszlo: 5G support for Industrial IoT Applications – Challenges, Solutions, and Research gaps, SENSORS 20: (3) 828
type of document: Journal paper/Article
number of independent citations: 86
language: English
URL 
2020

Balázs Sonkoly, Róbert Szabó, Balázs Németh, János Czentye, Dávid Haja, Márk Szalay, János Dóka, Balázs Gerő, Dávid Jocha, László Toka: 5G Applications from Vision to Reality: Multi-Operator Orchestration, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 38: (7) pp. 1401-1416.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2017

Gergely Biczok, Manos Dramitinos, Laszlo Toka, Poul E Heegaard, Hakon Lonsethagen: Manufactured by software: SDN-enabled multi-operator composite services with the 5G Exchange, IEEE COMMUNICATIONS MAGAZINE 55: (4) pp. 80-86.
type of document: Journal paper/Article
number of independent citations: 20
language: English
URL 
2017

Laszlo Toka, Balazs Lajtha, Eva Hosszu, Bence Formanek, Daniel Gehberger, Janos Tapolcai: A Resource-Aware and Time-Critical IoT Framework, In: Ming, L; Shui, Yu (szerk.) 2017 IEEE International Conference on Computer Communications (IEEE INFOCOM), IEEE Communications Society (2017) 8057143
type of document: Part of book/Proceedings Paper
number of independent citations: 14
language: English
URL 
2008

Patrick Maillé, Toka László: Managing a Peer-to-Peer Data Storage System in a Selfish Society, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 26: (7) pp. 1295-1301.
type of document: Journal paper/Article
number of independent citations: 22
language: English
URL 
Number of independent citations to these publications:187 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
135
number of scientific publications:
133
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
870


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )