Sep 2, 2012
Towards a self-adaptive network architecture for clouds (Lysne)
Recent studies show that there is a significant performance gap between commercial clouds and conventional clusters equipped with equivalent processors, and that cloud computing is not mature enough to support, for instance, high performance computing. This is partly due to the lack of elastic and efficient provisioning of network resources in the cloud. We therefore argue that the following research topics are important:
1. Methods for self-adaptive and predictable provisioning of network resources,
2. Methods for high-granularity service differentiation across a set of resources,
3. Methods for self-detection of failures.
4. Methods for fault-tolerance and robust computing
5. Elastic virtualization methodologies for efficient up and down scaling.