Logo des Repositoriums

Auflistung nach Schlagwort "Self-organising Systems"

1 - 2 von 2
  • Zeitschriftenartikel
    A Framework for Testing Self-organisation Algorithms
    (Softwaretechnik-Trends Band 35, Heft 1, 2015) Eberhardinger, Benedikt; Anders, Gerrit; Seebach, Hella; Siefert, Florian; Reif, Wolfgang
    The characteristics of self-organising, adaptive systems (SOAS) lead to a significantly higher flexibility and robustness against an ever-changing environment. This flexibility makes it hard to test these systems adequately, which is, however, inevitable in order to assure their quality. As a part of our vision of testing SOAS, we present a framework for testing selforganisation (SO) algorithms. The framework addresses the following key challenges for testing SO algorithms: state space explosion, interleaved feedback loops, and failure overlapping.
  • Konferenzbeitrag
    The Organic Computing Doctoral Dissertation Colloquium: Status and Overview in 2019
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Krupitzer, Christian; Tomforde, Sven
    Today, people are surrounded by smart and connected devices. Gartner Inc. estimated that 8.4 billion devices were connected in the Internet-of-Things worldwide in 2017, reaching 20.4 billion by 2020. The growing number of mobile and embedded devices in combination with the omnipresence of (wireless) network connections facilitates new applications, such as autonomous driving, ambient assisted living / smart home, or Industry 4.0. However, it requires integration of all available, highly specialised, and heterogeneous devices, ranging from embedded sensor nodes to servers in the cloud. Further, the inclusion of data streams with sensor data and web data leads to an increasing complexity in system development. Additionally, as these systems are mobile, changing environmental conditions increase the complexity even further. Organic Computing systems are able to deal with such systems and lower the complexity for their development by introducing methods for integrating adaptiveness and intelligence to computing systems. This workshops brings together PhD students from different research streams related to Organic Computing with the objective to represent the wide field of research in the domain of adaptive and intelligence systems.