1,721,013 research outputs found
A Distributed Agent-based Decision Support for Cloud Brokering
Get PDFIn goal oriented problems, decision-making is a crucial aspect aiming at enhancing the ability to make decisions by full autonomous, or supervised software agents. Agents usually resolve a huge number of evaluations and decisions without the user intervention. Just the remaining uncertainty should be left to the user's attention.
In this paper we present a complete constrained multi-objectives optimization problem, modeled as an agent based decision support systems, that helps to choose the Cloud proposals that best satisfy the needs of the user, among the ones offered by known vendors.
In particular we focus on a distributed solution that exploits the multi-agents programming model and the Cloud elasticity to comply with computational requirements of delivering such brokering at Cloud service level
Multiobjective optimization for brokering of multicloud service composition
No full textThe choice of cloud providers whose offers best fit the requirements of a particular application is a complex issue due to the heterogeneity of the services in terms of resources, costs, technology, and service levels that providers ensure. This article investigates the effectiveness of multiobjective genetic algorithms to resolve a multicloud brokering problem. Experimental results provide clear evidence about how such a solution improves the choice made manually by users returning in real time optimal alternatives. It also investigates how the optimality depends on different genetic algorithms and parameters, problem type, and time constraints
Comparative Analysis of Ontologies for Archival Representation
No full textOntologies are valuable tools for structuring and organizing knowledge, improving communication and data integration, enhancing information retrieval and search, and supporting various applications in different fields. They play a crucial role in promoting shared understanding and knowledge management in complex and information-rich domains. An examination of the initiatives conducted over the past decade in the field of cultural heritage has clearly highlighted the lack of an established framework in the conceptual modeling of information resources, despite the numerous ontologies created as a function of the many projects for the publication of linked open data. As a result, it is far from easy to know exhaustively all the ontologies available in relation to one's field of interest and to obtain in an easy and systematic way a reliable assessment about their representative capacity and their degree of semantic interoperability
An Ontology for the Annotation of the Archives of the Royal Site of San Leucio
No full textSemantic Digital Libraries and Ontologies gained attention across diverse research communities including Cultural Heritage and History. The development of the ontology for these specific domains is meant to support the implementation of intelligent applications such as decision support systems, recommender systems and semantic search. In this paper we present San Leucio ontology, a domain ontology developed as part of RASTA project for the implementation of an automatic storytelling process for Bourbon Royal Sites
Blockchain Technologies for Digital Archives
No full textThe increase in the number of digital archives, together with the decrease of paper-based story records, profoundly changes the traditional processes of access, learning, and use of information, which pose new challenges to scientific research in order to preserve such historical information, to ensure that it is never modified, is original, and can be accessed in the future. Blockchain technology can solve these problems by providing record keeping that is both unchangeable and transparent, which can prevent the history from being compromised and ensure that authenticity reaches future generations. The paper presents a decentralized solution based on blockchain technology to eliminate the limitations of centralized data systems and to provide robust, long-term security and reliability for digital archives
Improving self-consumption of green energy using linear programming for reactive control of smart devices
No full textA relevant challenge introduced by decentralized installations of photo-voltaic systems is the mismatch between green energy production and the load curve for domestic use. We advanced an ICT solution that maximizes the self-consumption by an intelligent scheduling of appliances. The predictive approach is complemented with a reactive one to minimize the short term effects due to prediction errors and to unforeseen loads. Using real measures, we demonstrated that such errors can be compensated modulating the usage of continuously running devices such as fridges and heat-pumps. Linear programming is used to dynamically compute in real-Time the optimal control of these devices
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