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.
In this paper we address the problem of Data Centers energy efficiency by proposing a methodology which aims at planning the Data Center operation such that the usage of locally produced renewable energy is maximized. We defined a flexibility mechanism and model for Data Center's components (electrical cooling system, IT workload, energy storage and diesel generators) leveraging on optimization actions...
This paper presents a hybrid bio-inspired algorithm that selects the optimal or a near-optimal solution in semantic Web service composition. The proposed algorithm combines principles from evolutionary computing, tabu search and monkey search to optimize the selection process in terms of execution time and explored search space. In our approach, the search space is modeled as an Enhanced Planning...
This paper presents a bio-inspired hybrid algorithm that selects the optimal solution in semanticWeb service composition. The proposed algorithm combines the cuckoo search metaheuristic with evolutionary computing, reinforcement learning and tabu search to optimize the selection process in terms of execution time and explored search space. We model the search space as an Enhanced Planning Graph structure...
This paper presents a Tabu search-based method for selecting the optimal or a near-optimal solution in semantic Web service composition. The proposed method is applied on an Enhanced Planning Graph structure which encodes all the composition solutions that satisfy a user request. The criteria for selecting the optimal solution include the QoS attributes and the semantic similarity between the services...
The increasing interest in developing optimization techniques that provide the optimal or a near-optimal solution of a problem in an efficient way has determined researchers to turn their attention towards biology. It has been noticed that biology offers many clues regarding the design of such optimization techniques, since biological systems exhibit self-optimization and self-organization capabilities...
This paper presents a new Web service composition method which combines the AI planning graph technique with an immune-inspired algorithm to find the optimal composition solution. Simultaneously with the planning graph construction, a matrix of semantic links is built to store the semantic links established between the services on different layers of the graph. The planning graph and the matrix of...
This paper presents a new approach for automatic Web service composition based on the formalism of Fluent Calculus using semantic Web service descriptions. In our approach, the Web service composition process is viewed as an AI planning problem in the Fluent Calculus formalism. To semantically describe Web services, we have used a Web service domain ontology which is then translated into a Fluent...
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.