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It is very important to evaluate dependability of Internet-scale software by integrating all the aspects and analyzing system architecture from the most foundational elements.
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It is also important to characterize the system in order to evaluate the dependability features such as the RAMS (Reliability, Availability, Maintainability Safety) requirements.
Applications to cloud QoS modeling include the use of SPNs to evaluate the dependability of a cloud infrastructure [68], considering both reliability and availability.
We evaluate system dependability for given two models.
Due to the complexity of these architectures, it is not trivial to evaluate this dependability level.
It starts with an introduction to the basic concepts in fault-tolerant design and the metrics used to specify and evaluate the dependability of the design.
Wei et al. [45] presented a hierarchical approach that combines reliability block diagrams and general stochastic Petri nets in evaluating the dependability of a virtual data center.
Other work has evaluated the dependability of cloud infrastructures.
There are many different approaches for evaluating system dependability, and testing has been always an important one, being fault removal one of the means to achieve dependable systems.
The analysis of experiment in a real system proves that the model in this paper is capable of evaluating the dependability of Internet-scale software clearly and objectively.
To provide uninterrupted cloud services, cloud managers must evaluate and improve dependability aspects of cloud infrastructures, such as availability and transaction loss; this is because users require a reasonable level of confidence in such infrastructures to efficiently plan and operate their business [19].
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