Search Results - "Rotter, Csaba"

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  1. 1

    A Queueing Model for Threshold-Based Scaling of UPF Instances in 5G Core by Rotter, Csaba, Van Do, Tien

    Published in IEEE access (2021)
    “…The fifth-generation networks User Plane Function (UPF) provides necessary procedures to connect end-devices and data networks. A Protocol Data Unit (PDU)…”
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    Journal Article
  2. 2

    Scaling UPF Instances in 5G/6G Core With Deep Reinforcement Learning by Nguyen, Hai T., Van Do, Tien, Rotter, Csaba

    Published in IEEE access (2021)
    “…In the 5G core and the upcoming 6G core, the User Plane Function (UPF) is responsible for the transportation of data from and to subscribers in Protocol Data…”
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    Journal Article
  3. 3

    Optimizing the resource usage of actor-based systems by Nguyen, Hai T., Do, Tien V., Rotter, Csaba

    “…Runtime environments for IoT data processing systems based on the actor model often apply a thread pool to serve data streams. In this paper, we propose an…”
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    Journal Article
  4. 4

    Efficient Multi-UAV Assisted Data Gathering Schemes for Maximizing the Operation Time of Wireless Sensor Networks in Precision Farming by Nguyen, Khanh-Van, Nguyen, Chi-Hieu, Do, Tien Van, Rotter, Csaba

    “…Measurement data from wireless sensors deployed in large agricultural areas could be used to help the automation of precision farming activities like…”
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    Journal Article
  5. 5

    Performance Analysis of Cloud Resource Management Algorithms by Rotter, Csaba Vilmos

    Published 01-01-2023
    “…The fourth industrial revolution focuses on automation and digitalisation based on the knowledge gathered by connecting the physical and digital worlds, one of…”
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    Dissertation
  6. 6

    Provisioning Input and Output Data Rates in Data Processing Frameworks by Do, Nam H., Van Do, Tien, Farkas, Lóránt, Rotter, Csaba

    Published in Journal of grid computing (01-09-2020)
    “…This paper is motivated by the need of deadline-bounded applications in live mobile network environments to obtain the guarantee and the appropriate share of…”
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    Journal Article
  7. 7

    Comparison of scheduling algorithms for multiple mobile computing edge clouds by Do, Tien Van, Do, N.H., Nguyen, H.T., Rotter, Csaba, Hegyi, Attila, Hegyi, Peter

    Published in Simulation modelling practice and theory (01-05-2019)
    “…5G networks are anticipated to provide service for vertical industries. Mobile Edge Computing (MEC) framework is a physical infrastructure improvement to host…”
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    Journal Article
  8. 8

    A New Data Layout Scheme for Energy-Efficient MapReduce Processing Tasks by Tran, Xuan T., Do, Tien Van, Rotter, Csaba, Hwang, Dosam

    Published in Journal of grid computing (01-06-2018)
    “…Yet Another Resource Negotiator (YARN) is a framework to manage and allocate resource requests from applications that process big data stored in HDFS. However,…”
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    Journal Article
  9. 9

    Comparison of scheduling schemes for on-demand IaaS requests by Do, Tien Van, Rotter, Csaba

    Published in The Journal of systems and software (01-06-2012)
    “…► We investigate the interaction aspects between on-demand requests and the allocation of virtual machines in a server farm operated by a specific…”
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    Journal Article
  10. 10

    Providing Ultra-Reliable Low Latency Services for 5G with Unattended Datacenters by Varga, Jozsef, Hilt, Attila, Rotter, Csaba, Jaro, Gabor

    “…The strict requirements imposed by ultra-reliable low latency (uRLL) services in 5G can be costly for 5G network operators: low latency requires the deployment…”
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    Conference Proceeding
  11. 11

    An Approach to Apply Reinforcement Learning for a VNF Scaling Problem by Nguyen, Hai T., Do, Tien Van, Hegyi, Attila, Rotter, Csaba

    “…The concept of Network Functions Virtualisation provides the rapid and flexible deployment of new services for telco operators. Horizontal scaling is applied…”
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    Conference Proceeding
  12. 12

    A big switch abstraction to support service function chaining in cloud infrastructure by Van Do, Tien, Do, Nam H., Kispal, Isvan, Galambosi, Nandor, Rotter, Csaba, Nemeth, Lorant

    “…The concept of Service Function Chaining and Network Functions Virtualisation provides a great degree of flexibility for the rapid deployment of new services…”
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    Conference Proceeding
  13. 13

    Telecom strategies for service discovery in microservice environments by Rotter, Csaba, Illes, Janos, Nyiri, Gabor, Farkas, Lorant, Csatari, Gergely, Huszty, Gergo

    “…In order to communicate with another service, a service needs to know the address of other services. This knowledge can be acquired by a process called service…”
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    Conference Proceeding
  14. 14

    Demo of a big switch abstraction for service function chaining by Do, Nam H., Van Do, Tien, Kispal, Isvan, Galambosi, Nandor, Rotter, Csaba, Nemeth, Lorant

    “…In this demonstration, we present a prototype of Big Switch Abstraction to support network as service through the realization of Virtual Network Function…”
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    Conference Proceeding
  15. 15

    A scalable routing mechanism for stateful microservices by Do, Nam H., Tien Van Do, Xuan Thi Tran, Farkas, Lorant, Rotter, Csaba

    “…Scalability is an important requirement in the development and the operation of applications in a cloud environment. To handling heavy concurrency in the input…”
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    Conference Proceeding
  16. 16

    Building Block Components to Control a Data Rate in the Apache Hadoop Compute Platform by Van Do, Tien, Vu, Binh T, Do, Nam H, Farkas, Lóránt, Rotter, Csaba, Tarjányi, Tamás

    Published 22-10-2014
    “…Resource management is one of the most indispensable components of cluster-level infrastructure layers. Users of such systems should be able to specify their…”
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    Journal Article
  17. 17

    Provision of Disk I/O Guarantee for MapReduce Applications by Tran, Xuan Thi, Van Do, Tien, Do, Nam H., Farkas, Lorant, Rotter, Csaba

    Published in 2015 IEEE Trustcom/BigDataSE/ISPA (01-08-2015)
    “…YARN is an emerging resource management in the Hadoop ecosystem, where big data in the scale of petabytes/day are processed with the use of commercial…”
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    Conference Proceeding
  18. 18

    Building block components to control a data rate in the Apache Hadoop compute platform by Do, Tien Van, Vu, Binh T., Do, Nam H., Farkas, Lorant, Rotter, Csaba, Tarjanyi, Tamas

    “…Resource management is one of the most indispens- able components of cluster-level infrastructure layers. Users of such systems should be able to specify their…”
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    Conference Proceeding