2014 International Conference on Cloud and Autonomic Computing (ICCAC) (2014)
Sept. 8, 2014 to Sept. 12, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCAC.2014.27
Cloud computing technology is being adopted by a growing number of organizations as a way to manage, store and process data. Protecting this infrastructure and key resources such as data and recovering against cyber threats has become a critical concern. At the same time, cloud computing technology such as virtualization and on-demand provisioning can be leveraged to implement protection and recovery mechanisms for sensitive computing services. However, the energy costs of such self-healing mechanisms has been ignored. In this paper, we present a novel IDS-based self-protection mechanism at the virtual machine level inspired by software rejuvenation concepts, and a proof-of-concept prototype built upon state-of-the-art cloud technology. Our empirical evaluation aims at characterizing the cost of the proposed strategy in terms of response time and energy consumption. Preliminary results show a clear correlation between IDS accuracy, attack rate, cloud system workload, energy consumption, and response time.
Cloud computing, Energy consumption, Time factors, Accuracy, Computational modeling, Mathematical model, Virtual machining
J. J. Villalobos, I. Rodero and M. Parashar, "Energy-Aware Autonomic Framework for Cloud Protection and Self-Healing," 2014 International Conference on Cloud and Autonomic Computing (ICCAC), United Kingdom, 2014, pp. 3-4.