Search Results - "Latzko, Vincent"

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  1. 1

    Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey by Mehrabi, Mahshid, You, Dongho, Latzko, Vincent, Salah, Hani, Reisslein, Martin, Fitzek, Frank H. P.

    Published in IEEE access (2019)
    “…Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute- and data-intensive services with low latency…”
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    Journal Article
  2. 2

    Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge by Busch, Johannes V. S., Latzko, Vincent, Reisslein, Martin, Fitzek, Frank H. P.

    “…Traffic light control falls into two main categories: Agnostic systems that do not exploit knowledge of the current traffic state, e.g., the positions and…”
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    Journal Article
  3. 3

    Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks by Mehrabi, Mahshid, Shen, Shiwei, Hai, Yilun, Latzko, Vincent, Koudouridis, George, Gelabert, Xavier, Reisslein, Martin, Fitzek, Frank

    Published in Network (Basel) (01-09-2021)
    “…Cooperative edge offloading to nearby end devices via Device-to-Device (D2D) links in edge networks with sliced computing resources has mainly been studied for…”
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    Journal Article
  4. 4

    Accurate Energy-Efficient Localization Algorithm for IoT Sensors by Mehrabi, Mahshid, Taghdiri, Pooria, Latzko, Vincent, Salah, Hani, Fitzek, Frank H. P.

    “…Wireless Sensor Networks (WSNs) applications have attracted attention in Internet of Things (IoT) as a novel networking paradigm consisting of billions of…”
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    Conference Proceeding
  5. 5

    Usecase Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications by Latzko, Vincent, Vielhaus, Christian, Fitzek, Frank H. P.

    “…Present-day and future network protocols that include and implement Forward Error Correction are configurable by internal parameters, typically incorporating…”
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    Conference Proceeding
  6. 6

    Accelerator-Aware Computation Offloading Under Timing Constraints by Latzko, Vincent, Vielhaus, Christian, Mehrabi, Mahshid, Fitzek, Frank H. P.

    “…The rise of chiplets in personal and high performance computing is mirrored in System on Chip (SOC) in mobile devices. Both paradigms allow vendors and…”
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    Conference Proceeding
  7. 7

    Energy-Aware and Fair Multi-User Multi-Task Computation Offloading by Latzko, Vincent, Lhamo, Osel, Mehrabi, Mahshid, Vielhaus, Christian, Fitzek, Frank H. P.

    “…Enabling computation intensive tasks with low latency requirements on mobile devices considering their battery life time is one of the challenges in 5G…”
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    Conference Proceeding
  8. 8

    Analysing and Learning Low-Latency Network Coding Schemes by Latzko, Vincent, Vielhaus, Christian, Mehrabi, Mahshid, Fitzek, Frank H. P.

    “…Forward Error Correction (FEC) has become an integral part of communication technology to address expected losses during transfer of data. Among various layer…”
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    Conference Proceeding
  9. 9

    Experiment as Code - An Automated Testbed for Cloud Scaling and Operations by Latzko, Vincent, Jia, Zhenzhen, Vielhaus, Christian L., Mehrabi, Mahshid, Fitzek, Frank H. P.

    “…Cloud Computing has been widely adopted in industry, administrations, as well as research. At the same time, development and testing of new technologies is…”
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    Conference Proceeding
  10. 10

    Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks by Mehrabi, Mahshid, Shen, Shiwei, Latzko, Vincent, Wang, Yuanfei, Fitzek, Frank H. P.

    “…Computation offloading is one of the main use-cases of the Multi-access Edge Computing (MEC) paradigm which can help to save the battery life of the…”
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    Conference Proceeding
  11. 11

    Estimating Link Capacity with Uncertainty Bounds in Cellular Networks by Vielhaus, Christian L., Lhamo, Osel, Busch, Johannes V. S., Rischke, Justus, Latzko, Vincent, Zimmermann, Sandra, Sossalla, Peter, Kulzer, Daniel F., Fitzek, Frank H.P.

    “…Machine learning (ML) equips next-generation networks with anticipatory capabilities. End-to-end predictive Quality of Service (pQoS) leverages ML models to…”
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    Conference Proceeding