Bradley R. Schmerl

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While attractive in principle, architecture-based self-adaptation raises a number of research and engineering challenges. First, the ability to handle a wide variety of systems must be addressed. Second, the need to reduce costs in adding external control to a system must be addressed. Our rainbow framework attempts to address both problems. By adopting an(More)
Self-adaptation is typically realized using a control loop. One prominent approach for organizing a control loop in self-adaptive systems is by means of four components that are responsible for the primary functions of self-adaptation: Monitor, Analyze, Plan, and Execute, together forming a MAPE loop. When systems are large, complex, and heterogeneous, a(More)
An important domain for autonomic systems is the area of ubiquitous computing: users are increasingly surrounded by technology that is heterogeneous, pervasive, and variable. In this paper we describe our work in developing self-adapting computing infrastructure that automates the configuration and reconfiguration of such environments. Focusing on the(More)
Software architectural modeling is crucial to the developmentof high-quality software. Tool support is requiredfor this activity, so that models can be developed,viewed, analyzed, and refined to implementations. Thissupport needs to be provided in a flexible and extensiblemanner so that the tools can fit into a companyýs processand can use particular,(More)
The goal of this roadmap paper is to summarize the stateof-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software(More)
In the world of autonomic computing, the ultimate aim is to automate human tasks in system management to achieve high-level stakeholder objectives. One common approach is to capture and represent human expertise in a form executable by a computer. Techniques to capture such expertise in programs, scripts, or rule sets are effective to an extent. However,(More)
One increasingly important technique for improving system dependability is to provide mechanisms for a system to adapt at run time in order to accommodate varying resources, system errors, and changing requirements. For such "self-repairing" systems one of the hard problems is determining when a change is needed, and knowing what kind of adaptation is(More)
An increasingly important requirement for complex systems is the capability to adapt at runtime in order to accommodate variable resources, system errors, and changing requirements. An essential aspect of adaptation is the ability to observe a system’s runtime behavior and interpret those observations in terms that permit a high-level understanding of the(More)
One of the challenging problems for software developers is guaranteeing that a system as built is consistent with its architectural design. In this paper, we describe a technique that uses runtime observations about an executing system to construct an architectural view of the system. In this technique, we develop mappings that exploit regularities in(More)