![]() 99).įicco, M., Esposito, C., Chang, H., & Raymond Choo, K. In IEEE Transactions on Cloud Computing (Vol. Supporting data-intensive workflows in software-defined federated multi-clouds. ![]() Journal of Knowledge-Based Systems, 79, 3–17.ĭiaz-Montes, J., Diaz-Granados, M., Zou, M., & Tao, S. A knowledge-based platform for big data analytics based on publish/subscribe services and stream processing. KeywordsĮsposito, C., Ficco, M., Palmieri, F., & Castiglione, A. This paper presents the main technical issues and challenges, which must be addressed to migrate mission-critical applications on public Clouds. Such solutions can enable application owners to control in a finer-grained manner the security and dependability of their resources across federated Clouds, in order to satisfy the same critical requirements achieved by hosting the application on its private Cloud. ![]() In particular, new paradigms should be designed to leverage the greater scalability and elasticity offered by federated Cloud infrastructures, as well as tools should be developed to implement a more secure, resilient and performing inter-cloud ecosystem. Deployment in Cloud of applications affected by restrictive security and dependability requirements, and currently considered too critical to be hosted on existing public Clouds, can be a challenge, but at the same time, a necessity for owners of mission-critical applications and services and a new business opportunity for federated Clouds.
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