The cloud case study within ASCENS explores the vision of an autonomic cloud, which is a cloud providing 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. As such, the autonomic cloud thus requires a certain degree of self-awareness, monitoring, and self-adaptation to reach its goals, which has been achieved with the integration of ASCENS methods and techniques. Software Engineering for Collective Autonomic Systems: The ASCENS Approach, LNCS 8998 (M. Wirsing, M. Hoelzl, N. Koch, P. Mayer, Eds.), pp. 495-512, Springer Verlag, 2015
The Autonomic Cloud / Mayer, P.; Velasco, J.; Klarl, A.; Hennicker, R.; Puviani, M.; Tiezzi, F.; Pugliese, R.; Keznikl, J.; Bures, T.. - STAMPA. - (2015), pp. 495-512. [10.1007/978-3-319-16310-9_16]
The Autonomic Cloud
Tiezzi, F.;PUGLIESE, ROSARIO;
2015
Abstract
The cloud case study within ASCENS explores the vision of an autonomic cloud, which is a cloud providing 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. As such, the autonomic cloud thus requires a certain degree of self-awareness, monitoring, and self-adaptation to reach its goals, which has been achieved with the integration of ASCENS methods and techniques. Software Engineering for Collective Autonomic Systems: The ASCENS Approach, LNCS 8998 (M. Wirsing, M. Hoelzl, N. Koch, P. Mayer, Eds.), pp. 495-512, Springer Verlag, 2015
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