Modeling of cloud computing security using Kolmogorov complexity

As Clouds are complex, large-scale, and heterogeneous distributed systems management of their resources is a challenging task. It requires co-optimization at multiple layers (infrastructure, platform and application) exhibiting autonomic properties. Autonomic systems exhibit the ability of self-monitoring, self-repairing, and self-optimizing by constantly sensing themselves and tuning their performance. The notions of autonomic components (ACs) and Autonomic-Component Ensembles (ACEs) are considered in the paper. A language for coordinating ensemble components (SCEL) is used to represent specificity of security issues in autonomic computing environment.