@incollection{eprints1850,
       publisher = {IEEE},
           pages = {89--94},
           month = {September},
       booktitle = {Proceedings of the 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops (SASOW)},
            note = {7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops (SASOW) held in Philadelphia, 9-13 September 2013 },
           title = {The Autonomic Cloud: A Vision of Voluntary, Peer-2-Peer Cloud Computing},
          author = {Philip Mayer and Annabelle Klarl and Rolf Hennicker and Mariachiara Puviani and Francesco Tiezzi and Rosario Pugliese and Tom{\'a}{\v s} Bure{\v s}},
            year = {2013},
             url = {http://eprints.imtlucca.it/1850/},
        abstract = {Autonomic computing - that is, the development of software and hardware systems featuring a certain degree of self-awareness and self-adaptability - is a field with many application areas and many technical difficulties. In this paper, we explore the idea of an autonomic cloud in the form of a platform-as-a-service computing infrastructure which, contrary to the usual practice, does not consist of a well-maintained set of reliable high-performance computers, but instead is formed by a loose collection of voluntarily provided heterogeneous nodes which are connected in a peer-to-peer manner. Such an infrastructure must deal with network resilience, data redundancy, and failover mechanisms for executing applications. We discuss possible solutions and methods which help developing such (and similar) systems. The described approaches are developed in the EU project ASCENS.},
        keywords = {ascens; cloud computing; ensemble computing; formal methods; modeling; patterns; peer-to-peer computing; performance; runtime; voluntary computing
}
}