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SUMMARYThe need for highly available services is ever increasing in various domains ranging from mission‐critical systems to transaction‐based ones such as banking. The Service Availability Forum has defined a set of services and related API specifications to address the growing need of commercial off‐the‐shelf high availability solutions. Among these services, the availability management framework (AMF) is the service responsible for managing the high availability of the application services by coordinating redundant application components deployed on the AMF cluster. To achieve this task, an AMF implementation requires a specific logical view of the organization of the application's services and components, known as an AMF configuration. Developing manually such a configuration is a complex error‐prone task that requires extensive domain knowledge. In this paper, we present an approach for the automatic generation of AMF configurations and alleviate the task of configuration designers. One important aspect of the AMF configuration is ranking the service units, when it is required by the redundancy model, for the assignment of the workload by AMF at runtime. Our approach includes a technique for generating these rankings in such a way that guarantees load balancing even after the occurrence of a failure. Copyright © 2012 John Wiley & Sons, Ltd.

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Abstract. High availability is a key ingredient in the design of mission critical and revenue generating software applications. With the release of the Service Availability Forum specifications, the availability of these applications can be managed by standardized middleware. Such middleware is capable of detecting and reacting to the application's components failures. In order to manage the availability of the services provided by the applications, the middleware requires a system configuration that describes the system's hardware as well as the software application organization and the recovery policies that define the runtime behavior of the middleware. Different configurations for the same application may render different levels of service availability. Quantifying the availability of an application under a given configuration before deployment is an important issue. In this paper we present an approach to approximate from the system configuration the availability of the services provided by a middleware-managed application.