We present a methodology to reason about resource usage (acquisition, release, revision, and so on) and, in particular, to predict bad usage of resources. Keeping in mind the interplay between local and global information that occur in application-resource interactions, we model resources as entities with local policies and we study global properties that govern overall interactions. Formally, our model is an extension of π-calculus with primitives to manage resources. To predict possible bad usage of resources, we develop a Control Flow Analysis that computes a static over-approximation of process behaviour

We outline the design of a framework for modelling cloud computing systems.The approach is based on a declarative programming model which takes the form of a λ -calculus enriched with suitable mechanisms to express and enforce application-level security policies governing usages of resources available in the clouds. We will focus on the server side of cloud systems, by adopting a pro-active approach, where explicit security policies regulate server's behaviour.

The effective usages of computational resources are a primary concern of up-to-date distributed applications. In this paper, we present a methodology to reason about resource usages (acquisition, release, revision, ...), and therefore the proposed approach enables to predict bad usages of resources. Keeping in mind the interplay between local and global information occurring in the application-resource interactions, we model resources as entities with local policies and global properties governing the overall interactions. Formally, our model takes the shape of an extension of pi-calculus with primitives to manage resources. We develop a Control Flow Analysis computing a static approximation of process behaviour and therefore of the resource usages