---
res:
  bibo_abstract:
  - Today's increasing number of sensors and computation nodes covered by cyber physical
    systems (CPS) results in rising complexity. For instance, computation results
    are based on measured data whose quality strongly depends on their age. CPS therefore
    have real-time requirements on computation results and communication to keep temporal
    dependency between measured inputs and computed outputs. In addition, today's
    CPS shall be modular to enable flexibility and scalability, e.g., postulated for
    production systems in context of Industry 4.0. Enabling CPS to easily integrate
    components by some Plug-and-Produce mechanism is desired.In this paper, we aim
    at enabling Plug-and-Produce in CPS using hypervisor-based virtualization. This
    implies hierarchical scheduling of dependent real-time systems. Here, dependencies
    are given by precedence constraints of tasks. Based on an approach for detection
    of new components added to a real-time network, in this paper we focus on integration
    of enabled applications into the current schedule of a computation node. Here,
    enabled application refers to an application software that just got executable
    by plugging some component to the CPS. Applications are encapsulated by virtual
    machines and provide a self-description including information about required and
    provided data as well as timing behavior. This self-description is used to adjust
    global scheduling and thus include new functionality to the CPS.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jan
      foaf_name: Jatzkowski, Jan
      foaf_surname: Jatzkowski
  - foaf_Person:
      foaf_givenName: Peer
      foaf_name: Adelt, Peer
      foaf_surname: Adelt
      foaf_workInfoHomepage: http://www.librecat.org/personId=5603
  - foaf_Person:
      foaf_givenName: Achim
      foaf_name: Rettberg, Achim
      foaf_surname: Rettberg
  bibo_doi: ' 10.1016/j.protcy.2016.08.031'
  dct_date: 2016^xs_gYear
  dct_language: eng
  dct_publisher: Elsevier@
  dct_title: Hierarchical Scheduling for Plug-and-Produce@
...