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Auflistung nach Schlagwort "Self-Organization"

1 - 5 von 5
  • Workshopbeitrag
    Detecting a Crisis: Comparison of Self-Reported vs. Automated Internet Outage Measuring Methods
    (Mensch und Computer 2022 - Workshopband, 2022) Orlov, Denis; Möller, Simon; Düfer, Sven; Haesler, Steffen; Reuter, Christian
    Every day, there are internet disruptions or outages around the world that affect our daily lives. In this paper, we analyzed these events in Germany in recent years and found out how they can be detected, and what impact they have on citizens, especially in crisis situations. For this purpose, we take a look at two different approaches to recording internet outages, namely the self-reporting of citizens and automatic reporting by algorithmic examination of the availability of IP networks. We evaluate the data of six major events with regard to their meaningfulness in quality and quantity. We found that due to the amount of data and the inherent imprecision of the methods used, it is difficult to detect outages through algorithmic examination. But once an event is publicly known by self-reporting, they have advantages to capture the temporal and spatial dimensions of the outage due to its nature of objective measurements. As a result, we propose that users’ crowdsourcing can enhance the detection of outages and should be seen as an important starting point to even begin an analysis with algorithm-based techniques, but it is to ISPs and regulatory authorities to support that.
  • Konferenzbeitrag
    Information Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems
    (EnviroInfo 2022, 2022) Bremer, Jörg; Lehnhoff, Sebastian
    Grouping small, hardly predictable, and volatile energy resources to jointly operating virtual power plants with sufficient flexibility for coordination is widely seen as a key aspect of integrating renewable energy into the grid. For several reasons, self-organizing, agent-based systems are probably the best technology for coordination. A major drawback of many currently existing solutions is the necessity to communicate plain information for negotiation and optimization. Such information contains e.g. possible energy generation schemes or aggregated costs. Previous works have already shown that identification of anonymously sent information is possible. In this paper, we demonstrate the possibility of disaggregating cost structure information as an example of possible leakage of business information in the case of participation in virtual power plants or district energysystems. From this perspective, we derive measures to ensure privacy preservation in decentralized coordination algorithms
  • Konferenzbeitrag
    Integrating Organic Computing Mechanisms into a Task-based Runtime System for Heterogeneous Systems
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Becker, Thomas
    Modern computer architectures feature a high degree of parallelism and heterogeneity. They are deployed in different fields of application, which leads to different constraints and optimization goals. Additionally, the current and future system states have to be considered, making dynamic and proactive adaptations necessary. Organic Computing techniques offer a solution for this. A combination with runtime systems, which control execution and monitor the system, sensibly provides reduction in system complexity, efficient resource usage and the ability to dynamically adapt. To enable Organic Computing in runtime systems, we first study heterogeneous systems in different fields of application. As we identified dependability as a major concern, we study symptom-based fault detection, a light-weight technique to detect faults. We develop a mechanism based on rule-based machine learning to consider the identified requirements and constraints and dynamically balance contradicting optimization goals. Additionally, we present a scheduling mechanism to globally optimize several instances of a runtime system and show first results.
  • Textdokument
    Knowledge-Based Self-Organization of Traffic Control Systems
    (INFORMATIK 2017, 2017) Jurisch, Matthias; Igler, Bodo
    Traffic control systems operating at the level of intersections can interact with each other. This interaction can be implicit (traffic flow) and explicit (exchange of sensor data). A central issue in this context is how to react to structural changes in a system of traffic control systems. This paper proposes to model all aspects which are relevant to the connection of these systems as ontologies. It further proposes to adapt to structural changes by taking inferences drawn from these ontologies into account. This work in progress is presented with the help of a concrete application example. A software prototype has been developed to demonstrate that this approach is technically feasible.
  • Konferenzbeitrag
    A Scientific Baseline for Agile Leadership - A Workshop Study
    (Projektmanagement und Vorgehensmodelle 2022 - Virtuelle Zusammenarbeit und verlorene Kulturen?, 2022) Krieg, Alexander; Penner, Nils; Theobald, Sven; Guckenbiehl, Pascal; Schneider, Kurt
    Leadership faces its biggest transformation in decades. The age of data and information as well as the associated digitalization are the driving forces behind fast and radically changing markets. Sustainability, diversity and self-organization are subjects modern companies and their leadership culture must address. There is plenty of literature on agile leadership and many practitioners and coaches work on building an agile leadership culture. However, we realized that there is a lack of scientific research and understanding regarding what characterizes agile leadership. This paper aims to present a scientific baseline for agile leadership to start closing the gap between practical knowledge and scientific investigation. We conducted three workshops with agile experts to elicit their understanding and experiences with regard to agile leadership and aggregated them into an overview of categories and characteristics. Practitioners can use these insights to identify potential for improvement in their leadership culture, while researchers can build on the results in their future research.