 
						HSNLab – Network softwerization and cloud systems
						
							AI/ML based optimization • AR/MR/VR applications • Cloud Native technologies • Cloud/Edge/Fog Computing • Industry 4.0 • Network Softwarization • NFV • SDN • Serverless Computing • Service and Resource Orchestration						
					 
					
					
							
	
		
			Sonkoly Balázs		
		
			Associate professor		
		
			I.E.349		
		
			(+36) 1 463-2536		
		
	 
 
						
					 
										
						A kutatócsoport tagjai:
					
					
							
	
		
			Sonkoly Balázs		
		
			Associate professor		
	 
 
	
	
		
			Toka László		
		
			Associate professor		
	 
 
	
	
		
			Németh Felicián Bálint		
		
			Assistant research fellow		
	 
 
	
	
		
			Rétvári Gábor		
		
			Senior research fellow		
	 
 
	
	
		
			Pelle István		
		
			Assistant research fellow		
	 
 
	
	
		
			Nagy Bálint György		
		
			Engineer		
	 
 
	
	
		
			Csikor Levente		
		
			Assistant professor		
	 
 
	
	
		
			Szabó Róbert		
		
			Associate professor		
	 
 
	
	
		
			Simon Csaba		
		
			Associate professor		
	 
 
	
	
		
			Maliosz Markosz		
		
			Associate professor		
	 
 
	
	
		
			Lévai Tamás		
		
			Assistant professor		
	 
 
	
	
		
			Molnár Sándor		
		
			Associate professor		
	 
 
	
	
		
			Balla Dávid		
		
			Assistant lecturer		
	 
 
	
	
		
			Czentye János		
		
			Assistant lecturer		
	 
 
	
	
		
			Miklós Máté		
		
			Assistant professor		
	 
 
					 
										
													Activity of the research group:
Future network applications will fundamentally place new demands on the networks and cloud systems that operate under services. For example, "Tactile Internet" services, which today exist only as a vision, different types of augmented reality applications (AR/VR/MR), remote operations, remote coordinated control of vehicles or remote control of Industry 4.0 production lines require extremely low latency (even below 1ms) with ultra high reliability. This requires much more intelligence, automation and adaptivity at different layers and operational levels of the network, and tight integration of networks and cloud/edge systems, which is a key requirement for the success of 5G and beyond. Our goal is to set up a research team, with the support of Ericsson and the MTA, capable of implementing this new network architecture by softwareising the network.
Research will be carried out along the following four long-term objectives:
 	- Develop new application examples and identify related requirements
- Support the development of new types of network applications
- Developing new types of network services and developing new applications for network services
- Development of a high-performance virtual data plane in, under and between clouds
Recent results:
 	- Continuous presence in the most prestigious forums with demos of our prototypes
- About 80 "impact factor" journal articles in the last 3-4 years
- Successful combination of theoretical and applied/industrial research
Including:
 	- TOWARDS HUMAN-ROBOT COLLABORATION: AN INDUSTRY 4.0 VR PLATFORM WITH CLOUDS UNDER THE HOOD
- DYNAMIC LATENCY CONTROL OF SERVERLESS APPLICATIONS OPERATED ON AWS LAMBDA AND GREENGRASS
- ANNABELLADB: A KEY VALUE STORE FOR STATELESS NETWORKFUNCTIONS
- KUBERNETES DELAY AWARE SCHEDULER
- CONTROLLING DRONES FROM 5G NETWORKS
Special infrastructure:
Blade servers • SDN switches • High speed network cards
Recent projects:
Lendület • OTKA • Hungarian-Austrian international research topic project • Hungary-India applied research and development cooperation call
International relations:
Sant’Anna School of Advanced Studies (SSSA) • University of Vienna • University Carlos III of Madrid • KTH Royal Institute of Technology • Queen Mary University • University College London • Technological University Dublin • Indian Institute of Technology
Industrial partners:
Ericsson • Lillyneir					
 					
					
	
	
	
	![👤]()