Literature Database Entry

neumann2023reliable

Daniel Neumann, "Reliable Data Storage within Vehicular Micro Clouds (VMCs)," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), July 2023. (Advisors: Max Schettler and Fabian Missbrenner; Referees: Falko Dressler and Thomas Sikora)

Abstract

Today’s world is requiring more and more computational and network resources. Vehicular Micro Clouds (VMCs) could become an important supplement to the statically deployed edge servers, as a form of Virtual Edge Computing, and become an integral part of future mobile networks [1]–[3]. Reliable Data Storage will be required for many types of services a VMC could offer. Pannu et al. [4] already tackled the issue and investigated a system of proactive handovers outside of the region of a micro cloud associated with the data. In this work we propose a new scheduling algorithm for the general system developed by Pannu et al. [4] to increase reliability. It prioritizes the transmission of data which has the fewest replications to the vehicles who are expected to be in the area the longest. To evaluate this new algorithm, we simulated the system and compared it to a simplified version of the algorithm of Pannu et al. [4]. We found a well performing system which is able to hold data reliably, if the capacity allows it. The scheduling decisions, when to transmit, are up to four times as efficient compared to the Baseline algorithm in high traffic densities. Also, the fraction of data kept alive for the full duration of its lifetime is in most scenarios significantly higher. If data is lost with the new algorithm, it is lost early, which hints towards a possibility of predicting the limit and proactively reject data it cannot store. Thus, it is a promising approach and could be part of a reliable data storage service for VMCs.

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@phdthesis{neumann2023reliable,
    author = {Neumann, Daniel},
    title = {{Reliable Data Storage within Vehicular Micro Clouds (VMCs)}},
    advisor = {Schettler, Max and Missbrenner, Fabian},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {7},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Bachelor Thesis},
    year = {2023},
   }
   
   

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Last modified: 2024-05-04