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@ARTICLE{Dhling:890362,
      author       = {Dähling, Stefan and Razik, Lukas and Monti, Antonello},
      title        = {{E}nabling scalable and fault-tolerant multi-agent systems
                      by utilizing cloud-native computing},
      journal      = {Autonomous agents and multi-agent systems},
      volume       = {35},
      number       = {1},
      issn         = {1387-2532},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V},
      reportid     = {FZJ-2021-00907},
      pages        = {10},
      year         = {2021},
      abstract     = {Multi-agent systems (MAS) represent a distributed computing
                      paradigm well suited to tackle today’s challenges in the
                      field of the Internet of Things (IoT). Both share many
                      similarities such as the interconnection of distributed
                      devices and their cooperation. The combination of MAS and
                      IoT would allow the transfer of the experience gained in MAS
                      research to the broader range of IoT applications. The key
                      enabler for utilizing MAS in the IoT is the ability to build
                      large-scale and fault-tolerant MASs since IoT concepts
                      comprise possibly thousands or even millions of devices.
                      However, well known multi-agent platforms (MAP), e. g., Java
                      Agent DE-velopment Framework (JADE), are not able to deal
                      with these challenges. To this aim, we present a
                      cloud-native Multi-Agent Platform (cloneMAP) as a modern MAP
                      based on cloud-computing techniques to enable scalability
                      and fault-tolerance. A microservice architecture is used to
                      implement it in a distributed way utilizing the open-source
                      container orchestration system Kubernetes. Thereby,
                      bottlenecks and single-points of failure are conceptually
                      avoided. A comparison with JADE via relevant performance
                      metrics indicates the massively improved scalability.
                      Furthermore, the implementation of a large-scale use case
                      verifies cloneMAP’s suitability for IoT applications. This
                      leads to the conclusion that cloneMAP extends the range of
                      possible MAS applications and enables the integration with
                      IoT concepts.},
      cin          = {IEK-10},
      ddc          = {004},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000611534100001},
      doi          = {10.1007/s10458-020-09489-0},
      url          = {https://juser.fz-juelich.de/record/890362},
}