Distributed and concurrent object-oriented systems are difficult to analyze due to the complexity of their concurrency, communication, and synchronization mechanisms. Rather than performing analysis at the level of code in, e.g., Java or C++, we consider the analysis of such systems at the level of an abstract, executable modeling language. This language, based on concurrent objects communicating by asynchronous method calls, avoids some difficulties of mainstream object-oriented programming languages related to compositionality and aliasing. To facilitate system analysis, compositional verification systems are needed, which allow components to be analyzed independently of their environment. In this paper, a proof system for partial correctness reasoning is established based on communication histories and class invariants. A particular feature of our approach is that the alphabets of different objects are completely disjoint. Compared to related work, this allows the formulation of a much simpler Hoare-style proof system and reduces reasoning complexity by significantly simplifying formulas in terms of the number of needed quantifiers. The soundness and relative completeness of this proof system are shown using a transformational approach from a sequential language with a non-deterministic assignment operator.

Abstract. We show how aspects of performance, resource consumption, and deployment on the cloud can be formally modeled for an industrial case study of a distributed system, using the abstract behavioral specification language ABS. These non-functional aspects are integrated with an existing formal model of the functional system behavior, supporting a separation of concerns between the functional and non-functional aspects in the integrated model. The ABS model is parameterized with respect to deployment scenarios which capture different application-level management policies for virtualized resources. The model is validated against the existing system’s performance characteristics and used to simulate and compare deployment scenarios on the cloud. 1

Abstract. An application’s quality of service (QoS) depends on resource availability; e.g., response time is worse on a slow machine. On the cloud, a virtualized application leases resources which are made available on demand. When its work load increases, the application must decide whether to reduce QoS or increase cost. Virtualized applications need to manage their acquisition of resources. In this paper resource provisioning is integrated in high-level models of virtualized applications. We develop a Real-Time ABS model of a cloud provider which leases virtual machines to an application on demand. A case study of the Montage system then demonstrates how to use such a model to compare resource management strategies for virtualized software during software design. Real-Time ABS is a timed abstract behavioral specification language targeting distributed object-oriented systems, in which dynamic deployment scenarios can be expressed in executable models. 1

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