Abstract
Distributed systems are particularly well suited to hosting emergent phenomena, especially when individual nodes possess a high degree of autonomy and the overall control tends to be decentralized. Introducing novel bio-inspired behaviours and interactions among individual nodes and the environment as a means of engineering desirable behaviours, could greatly assist with managing the complexity inherent to artificial distributed systems. The paper details the Emergent Distributed Bio-Organization (EDBO) as an abstract distributed system model aiming to engineer emergent properties at the macroscopic level. EDBO was designed to be suitable as a starting point in the design of a specific class of problems of real-world distributed systems. A thorough discussion justifies why the proposed bio-inspired properties planted into the model, could potentially allow for the desired behaviours to emerge.
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References
Eleftherakis, G., Paunovski, O., Rousis, K., Cowling, A.J.: Harnessing emergent properties in artificial distributed networks: an experimental framework. In: Ritson, C., Andrews, P., Stepney, S. (eds.) 4th Workshop on Complex Systems Modelling and Simulation, pp. 141–144 (2011)
Nakano, T., Suda, T.: Applying biological principles to designs of network services. Applied Soft Computing 7, 870–878 (2007)
Paunovski, O., Eleftherakis, G., Cowling, A.: Disciplined Exploration of Emergence using Multi-Agent Simulation Framework. Computing and Informatics 28(3), 369–391 (2009)
Paunovski, O., Eleftherakis, G., Dimopoulos, K., Cowling, A.: Evaluation of a selective distributed discovery strategy in a fully decentralized biologically inspired environment. Information Sciences 180(10), 1865–1875 (2010)
Stepney, S., Polack, F., Turner, H.: Engineering emergence. In: Proceedings of the 11th IEEE International Conference on Engineering of Complex Computer Systems, pp. 89–97 (2006)
Suda, T., Nakano, T., Moore, M., Enomoto, A., Fujii, K.: Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication. In: Liò, P., Yoneki, E., Crowcroft, J., Verma, D.C. (eds.) BIOWIRE 2007. LNCS, vol. 5151, pp. 241–254. Springer, Heidelberg (2008)
Yang, B., Garcia-Molina, H.: Designing a super-peer network. In: IEEE International Conference on Data Engineering, ICDE 2003 (2003)
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Eleftherakis, G., Paunovski, O., Rousis, K., Cowling, A.J. (2013). Emergent Distributed Bio-organization: A Framework for Achieving Emergent Properties in Unstructured Distributed Systems. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds) Intelligent Distributed Computing VI. Studies in Computational Intelligence, vol 446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32524-3_5
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DOI: https://doi.org/10.1007/978-3-642-32524-3_5
Publisher Name: Springer, Berlin, Heidelberg
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