Abstract
Cloud computing has become an integral technology both for the day-to-day running of corporations, as well as for people life as more services are offered which use a back-end cloud. For the cloud providers, the ability to maintain the systems’ Service Level Agreements and prevent service outages is paramount since long periods of failures can open them to large liabilities from their customers. These are the problems that autonomic management systems attempt to solve. Autonomic computing systems are capable of self-managing themselves by self-configuring, self-healing, self-optimizing, and self-protecting themselves, together known as self-CHOP. In this paper, an autonomic computing system which manages the self-optimizing function of a cloud collaborative application is presented. The autonomic control system itself uses self-organizing algorithms based on the leaky bucket flow model inspired from network congestion control.
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Solomon, B., Ionescu, D., Gadea, C. (2016). Self-organizing System for the Autonomic Management of Collaborative Cloud Applications. In: Balas, V., C. Jain, L., Kovačević, B. (eds) Soft Computing Applications. SOFA 2014. Advances in Intelligent Systems and Computing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-319-18296-4_38
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DOI: https://doi.org/10.1007/978-3-319-18296-4_38
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