The PANACEA Project

PANACEA will propose innovative solutions for a proactive autonomic management of cloud resources, based on a set of advanced machine learning techniques and virtualization. By predicting anomalies (time to failure of cloud applications and DDoS attacks) before they occur, PANACEA will realize the autonomic properties:

• self-healing against anomalies by recovering from multiple node and link failures, and using proactive rejuvenation of applications and servers for preventing crashes and increasing the availability, predicting the threshold violation of response time of servers,
• self-configuring by efficiently mapping user's requirements onto distributed clouds and configuring on-the-fly in the presence of anomalies,
• self-optimizing using proactive  migration of virtual machines from one cloud resource to another, maintaining the quality of service of end-to-end flows,
• self-protecting using proactive reconfiguration of overlay networks to protect against DDoS attacks.

This project is supported by the European Commission under the ICT Theme (http://cordis.europa.eu/fp7/ict/) of the 7th Framework Programme for Research and Technological Development.