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Jirapa Lapanant, "The Impact of Dynamicity while Placing Multi-Resolution Sensor Logs in a Cloud-Fog Topology," Master's Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), March 2021. (Advisor: Daniel Happ; Referees: Falko Dressler and Thomas Sikora)


One of the fundamental options to distribute data generated by IoT devices is a real-time broker-based publish/subscribe mechanism. Another way is on-demand access to long term storage. Append-only logs are a promising approach to both cater subscribers that are capable of reading real-time data at their own pace and consumers who request historical data. Additionally, if the logs only have a single writer, they can be easily replicated across cloud, fog, and edge nodes. As a result, improving latency and also making data more resilient. However, it is not clear how to determine the most desirable placement of those logs in a cloud-fog topology. Particularly when consumers who want to request historical data keep changing from one network to another network. Moreover, it is infeasible to store IoT data indefinitely in full resolution across all those storage devices, making the problem even more challenging. This thesis aims to investigate the impact of dynamicity on the placement of replicas of the multi resolutions sensor logs in a cloud-fog topology by network simulation. OMNet++ is used to simulate MQTT as an example of a prominent publish/subscribe protocol in a realistic IoT network topology. The INET framework, an open-source library for OMNet++, is first extended with implementations for a subset of MQTT, storage logs, and corresponding producers and consumers. Consequently, various network setups and scenarios are evaluated and measures of end-to-end delay and network traffic investigated. Finally, this thesis shows the impact of the dynamicity on the quality of the placement decision. Our simulation shows that dynamic fog-based IoT operation implemented by proxy log mechanism gives better performance under a high degree of clustering with the low consumer node movement.

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Jirapa Lapanant

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    author = {Lapanant, Jirapa},
    title = {{The Impact of Dynamicity while Placing Multi-Resolution Sensor Logs in a Cloud-Fog Topology}},
    advisor = {Happ, Daniel},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {3},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Master's Thesis},
    year = {2021},

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