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|Title:||Self management for large-scale distributed systems: An overview of the SELFMAN project||Authors:||Van Roy, P.
|Issue Date:||2008||Citation:||Van Roy, P.,Haridi, S.,Reinefeld, A.,Stefani, J.-B.,Yap, R.,Coupaye, T. (2008). Self management for large-scale distributed systems: An overview of the SELFMAN project. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5382 LNCS : 153-178. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-92188-2_7||Abstract:||As Internet applications become larger and more complex, the task of managing them becomes overwhelming. "Abnormal" events such as software updates, failures, attacks, and hotspots become frequent. The SELFMAN project is tackling this problem by combining two technologies, namely structured overlay networks and advanced component models, to make the system self managing. Structured overlay networks (SONs) developed out of peer-to-peer systems and provide robustness, scalability, communication guarantees, and efficiency. Component models provide the framework to extend the self-managing properties of SONs over the whole system. SELFMAN is building a self-managing transactional storage and using it for two application demonstrators: a distributed Wiki and an on-demand media streaming service. This paper provides an introduction and motivation for the ideas underlying SELFMAN and a snapshot of its contributions midway through the project. We explain our methodology for building self-managing systems as networks of interacting feedback loops. We then summarize the work we have done to make SONs a practical basis for our architecture: using an advanced component model, handling network partitions, handling failure suspicions, and doing range queries with load balancing. Finally, we show the design of a self-managing transactional storage on a SON. © 2008 Springer Berlin Heidelberg.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/41892||ISBN:||3540921877||ISSN:||03029743||DOI:||10.1007/978-3-540-92188-2_7|
|Appears in Collections:||Staff Publications|
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