Abstract
In cloud environments application scheduling, i.e., the matching of applications with the resources they need to be executed, is a hot research topic. Autonomic computing provides viable solutions to implement robust architectures that are enough flexible to tackle scheduling problems. CHASE is a framework based on an autonomic engine, designed to optimize resource management in clouds, grids or hybrid cloud-grid environments. Its optimizations are based on real-time knowledge of the status of managed resources. This requires continuous monitoring, which is difficult to be carried out in distributed and rapidly-changing environments as clouds. This paper presents a monitoring system to support autonomicity based on the mobile agents computing paradigm.
The work described in this paper has been partially supported by the MIUR-PRIN 2008 project “Cloud@Home: a New Enhanced Computing Paradigm” and by the FP7-ICT-2009-5-256910 (mOSAIC) EU project.
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Cuomo, A., Rak, M., Venticinque, S., Villano, U. (2012). Enhancing an Autonomic Cloud Architecture with Mobile Agents. In: Alexander, M., et al. Euro-Par 2011: Parallel Processing Workshops. Euro-Par 2011. Lecture Notes in Computer Science, vol 7155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29737-3_11
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