The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Traditional approaches towards self-healing of services, have emphasized reactive self-healing; viz., stopping a failed service, replacing/reconfiguring it and restarting. Since this is disruptive, we investigate a proactive self-healing approach in this paper. The key issue in proactive self-healing, is the decision by the consumer, based on available observations of the performance of the provider...
This paper presents an approximate policy iteration algorithm for solving infinite-horizon, discounted Markov decision processes (MDPs) for which a model of the system is available. The algorithm is similar in spirit to Bellman residual minimization methods. However, by using Gaussian process regression with nondegenerate kernel functions as the underlying cost-to-go function approximation architecture,...
Due to the large economic and environmental impact and pervasive application, engine maintenance policy optimization has attracted the research interest in the past several decades. Markov decision process (MDP) provides a general framework for this problem, but the large state space makes it difficult to apply the traditional value iteration and policy iteration in practice. How to approximate the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.