Quantitative Analysis Research on Survivability of Information Systems in Cloud

Survivability is one of the important indicators of an information system, which describes the ability that a system can complete its task timely even after attacks, failures or accidents occurred. A quantitative analysis framework on survivability of distributed information systems which are deployed in IaaS cloud environment is proposed. The major research direction is to evaluate the robustness of physical devices, calculate the priority of different components, and then analyze the survivability of a distributed information system in a limited scope of several physical devices and virtual machines with a deployment plan. Afterwards, theframework can draw a better deployment plan for the distributed information system to archive quasi-optimal survivability in limited environment. Finally, the deployment plan will be converted to maintenance commands and executed by IaaS cloud platform. The main contribution of the paper includes: aquantitative analysis framework on survivability of distributed information systems deployed in IaaS cloud environment, method to calculate a better deployment plan to archive quasi-optimal survivability for a distributed information system in limited environment, applying several algorithms to experiment the availability of the framework, and testing the effect of the frame in actual scene.