Self-Organizing Infrastructures for Ambient Services [chapter]

Klaus Herrmann
<i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wstdnwli3rdejhisu62dmtchd4" style="color: black;">Kommunikation in Verteilten Systemen (KiVS)</a> </i> &nbsp;
In the last two decades, the advent of wireless networking technology and the achievements in the miniaturization of electronic devices have set new trends in distributed computing. This ultimately enables a new paradigm for embedding mobile users in intelligent environments that support them in their interactions with their local physical surrounding. This vision is called Ambient Intelligence (AmI). There are still many challenges ahead on the way towards the realization of AmI. One question
more &raquo; ... hat is central to the entire concept is: How can we render AmI systems self-organizing such that they can indeed disappear in our environment without creating a massive administrative problem? In this thesis, we propose a model for a dedicated AmI infrastructure that supports the user in his interaction with his physical environment and with external entities. This infrastructure is called Ad hoc Service Grid (ASG) and provides wireless services in a decentralized and self-organizing fashion. We identify three distinct problems associated with self-organized service provisioning in the ASG model and propose algorithms and protocols that solve them. The problem that is at the center of our work is the self-organized replication and distribution of arbitrary services in an ASG. A set of algorithms is presented that solves this problem in a completely distributed way. The two other problems we tackle are the discovery and lookup of dynamically distributed service replicas and the reconciliation among a dynamic group of replicas. Together, the mechanisms we propose lay the foundation for a general AmI software platform. We will derive the architecture of such a Serviceware from these mechanisms. Detailed experimental results are presented that show the validity of our concepts and identify ways for tailoring our algorithms and protocols to the requirements of specific applications. Furthermore, we propose a new general model and a classification methodology for self-organizing software systems. We employ this model to evaluate our own solutions. The focus of the research work presented in this thesis is on the global-scale interactions in an AmI system. We call this the macro-level of interactions to separate it from the focus of most current research projects. These projects concentrate more on adaptations at the micro-level, pertaining to the internal structures of specific applications and services. Our work complements these efforts by providing solutions for structuring AmI systems externally, for example by distributing a group of service replicas within an ASG network. iii
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