Blar i forfatter "Dagenborg, Håvard Johansen"

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    • Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices 

      Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen (Conference object; Konferansebidrag, 2023-10-12)
      Kubernetes default configurations do not always provide optimal security and performance for all clusters and IoT edge devices deployed, affecting the scalability of a given workload and making them vulnerable to security breaches and information leakage if misconfigured. We present an adaptive controller to identify the type of misconfiguration and its consequence threat to optimize the system ...

    • Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers 

      Nordmo, Tor-Arne Schmidt; Riegler, Michael; Dagenborg, Håvard Johansen; Johansen, Dag (Chapter; Bokkapittel, 2023-03-31)
      Advances in sensor technology and big data processing enable new and improved performance analysis of sport athletes. With the increase in data variety and volume, both from on-body sensors and cameras, it has become possible to quantify the specific movement patterns that make a good athlete. This paper describes Arctic Human Activity Recognition on the Edge (Arctic HARE): a skiing-technique training ...

    • Capturing Nutrition Data for Sports: Challenges and Ethical Issues 

      Sharma, Aakash; Czerwinska, Katja P; Johansen, Dag; Dagenborg, Håvard Johansen (Chapter; Bokkapittel, 2023)
      Nutrition plays a key role in an athlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using ...

    • A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices 

      Elgazazz, Areeg Samir Ahmed; Al-Wosabi, Abdo; Khan, Mohsin; Dagenborg, Håvard Johansen (Conference object; Konferansebidrag, 2023-10-12)
      Kubernetes default configurations do not always provide optimal security and performance for all clusters and IoT edge devices deployed, making them vulnerable to security breaches and information leakage if misconfigured. Misconfiguration leads to a compromised system that disrupts the workload, allows access to system resources, and degrades the system’s performance. To provide optimal security ...

    • A Self-Configuration and Healing Controller To Analyze Misconfigurations of Clusters and IoT Edge Devices 

      Elgazazz, Areeg Samir Ahmed; Dagenborg, Håvard Johansen (Conference object; Konferansebidrag, 2023)