The Experts below are selected from a list of 365103 Experts worldwide ranked by ideXlab platform
E. Maziero - One of the best experts on this subject based on the ideXlab platform.
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Policy - RSVP Policy Control using XACML
Proceedings. Fifth IEEE International Workshop on Policies for Distributed Systems and Networks 2004. POLICY 2004., 2004Co-Authors: Emir Toktar, Edgard Jamhour, E. MazieroAbstract:This work proposes a XML-based framework for distributing and enforcing RSVP access Control policies, for RSVP-aware application servers. Policies are represented by extending XACML, the general purpose access Control language proposed by OASIS. Because RSVP is a specific application domain, it is not directly supported by the XACML standard. Hence, this work defines the XACML extensions required for representing and transporting the RSVP access Control Policy information. The XACML-based framework is proposed as an alternative to the IETF PCIM-based approach. Both approaches are compared in this paper.
Doina Precup - One of the best experts on this subject based on the ideXlab platform.
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Policy Gradient Methods for Off-Policy Control.
arXiv: Artificial Intelligence, 2015Co-Authors: Lucas Lehnert, Doina PrecupAbstract:Off-Policy learning refers to the problem of learning the value function of a way of behaving, or Policy, while following a different Policy. Gradient-based off-Policy learning algorithms, such as GTD and TDC/GQ, converge even when using function approximation and incremental updates. However, they have been developed for the case of a fixed behavior Policy. In Control problems, one would like to adapt the behavior Policy over time to become more greedy with respect to the existing value function. In this paper, we present the first gradient-based learning algorithms for this problem, which rely on the framework of Policy gradient in order to modify the behavior Policy. We present derivations of the algorithms, a convergence theorem, and empirical evidence showing that they compare favorably to existing approaches.
Luc Moreau - One of the best experts on this subject based on the ideXlab platform.
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IPAW - A Provenance-Based Policy Control Framework for Cloud Services
Lecture Notes in Computer Science, 2015Co-Authors: Mufajjul Ali, Luc MoreauAbstract:In the context of software, provenance holds the key to retaining a mirror instance of the lifespan of a service, which can be replayed/reproduced from the beginning. This entails the nature of invocations that took place, how/where the data were created, modified, updated and the user's engagement with the service. With such an encyclopedia of information, it opens up a diversity of value-added features compliance Control, accountability that can improve the usability of a service. In this paper, we extend our previous work on the provenance-based Policy language cProvl and model cProv by proposing a preliminary Policy Control framework. The framework provides the necessary building blocks for integrating and developing services that are able to generate and use provenance data for provenance-based compliance Control, which runs on a XACML engine. We demonstrate the capability of the framework by applying it to a service case, and conduct benchmarks to determine its scalability and performance.
Emir Toktar - One of the best experts on this subject based on the ideXlab platform.
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Policy - RSVP Policy Control using XACML
Proceedings. Fifth IEEE International Workshop on Policies for Distributed Systems and Networks 2004. POLICY 2004., 2004Co-Authors: Emir Toktar, Edgard Jamhour, E. MazieroAbstract:This work proposes a XML-based framework for distributing and enforcing RSVP access Control policies, for RSVP-aware application servers. Policies are represented by extending XACML, the general purpose access Control language proposed by OASIS. Because RSVP is a specific application domain, it is not directly supported by the XACML standard. Hence, this work defines the XACML extensions required for representing and transporting the RSVP access Control Policy information. The XACML-based framework is proposed as an alternative to the IETF PCIM-based approach. Both approaches are compared in this paper.
Claudio Socci - One of the best experts on this subject based on the ideXlab platform.
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Identifying the sources of structural changes in CO_2 emissions in Italy
Economia Politica, 2019Co-Authors: Yousaf Ali, Claudio Socci, Rosita Pretaroli, Maurizio Ciaschini, Muhammad SabirAbstract:Decomposition analysis represents an important tool in order to highlight the implication of socio-economic, employment and environmental indicators. In addition, it also helps to assess the determinants which are responsible for changes in such indicators. In this paper, changes in CO_2 emissions in Italy are examined on the basis of the combination of singular value decomposition (SVD) analysis and structural decomposition analysis (SDA). SVD is used to decompose the total environmental pollution impact coefficient matrix and the pollution multiplier matrix in three different factors: key structures of the Policy objective, key structures of the Policy Control and singular values to find out the potential behaviour of the economy. Furthermore, SDA is carried out to classify the CO_2 emission into four main determinants over a period of fourteen years i.e. from 1995 to 2009. These four determinants include: the Policy objective effects, the Policy Control effects, the singular values effects and the final demand structure effects. The results point out that the CO_2 emissions decreased during the overall period of 1995–2009, the only exception to this was the period 1995–2000 in which the CO_2 emissions increased to 0.29% and technological change was a positive contributor to the increase of carbon emission during this period. Structural decomposition suggests that CO_2 increases with an increase in the final demand, implying that a reduction in CO_2 emissions is possible only if the increase in demand is based on renewable energies or if economic growth is sustainable.
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The structures of production, final demand and agricultural output: a Macro Multipliers analysis of the Nigerian economy
Economia Politica, 2018Co-Authors: Irfan Ahmed, Claudio Socci, Francesca Severini, Qaiser Rafique Yasser, Rosita PretaroliAbstract:This study made an effort to build the Social Accounting Matrix for the Nigerian economy, which describes the income circular flow through the integration of the production with the income flows, including both the generation and the distribution of value added and the creation of final demand. Such database allows developing an extended input–output model and a Macro Multipliers analysis based on the technique of singular value decomposition. First, the analysis identifies the key sectors amongst the agricultural sectors that have significant interactions with the other commodities of the economy. Furthermore, the Macro Multipliers analysis is conducted in order to identify the interactions between Policy objective (total output) and Policy Control (final demand) at a multi-sectoral level.
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balance manhattan norm and euclidean distance of industrial policies for the us
Structural Change and Economic Dynamics, 2011Co-Authors: Maurizio Ciaschini, Rosita Pretaroli, Claudio SocciAbstract:Abstract The design of Policy Controls oriented to stimulate specific industrial activities highlights a set of problems that involve the choice of the macro variables that make up the Policy Control, the determination of their aggregate amount as well as their sectoral composition and their inner balance. In a multi-sectoral framework these issues require a careful identification of the relationship between the scale (aggregate value) and structure (inner composition) of both the Policy Control and Policy target. The Macro Multiplier approach identifies the complete set of aggregate scalars that are hidden within the complexity of the multi industry relations and how they are strictly linked with predetermined structures both of the Policy Control and of the Policy target. The application exercise is performed on an Input-Output table for the US for the year 2007, the applied exercise focuses on the government strategies for the "Manufacture of Motor vehicles" sector.
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A Convenient Multisectoral Policy Control for ICT in the US Economy
Metroeconomica, 2009Co-Authors: Maurizio Ciaschini, Rosita Pretaroli, Claudio SocciAbstract:Through the application of the Macro Multiplier (MM) approach on an Input–Output matrix for US economy in year 2005, the paper identifies the ‘convenient’ structure of a Policy Control on final demand, oriented to a particular Policy objective. The approach quantifies a set of aggregated scale effects, called MM, and the associated structures of both Policy and objective variables. In this way the Policy maker can both get a complete picture of the patterns of the objective that can be attained and determine a ‘convenient’ structure of the Policy variable that compels the model towards those patterns.
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A convenient Policy Control through the Macro Multiplier approach
2008Co-Authors: Maurizio Ciaschini, Rosita Pretaroli, Claudio SocciAbstract:In this paper an attempt is made to identify a ”convenient” structure of a Policy variable, final demand Control, through the use of a multi-sectoral model. The method used relies on a specific spectral ecomposition which allows for the quantification of the scale-effect of each structure that the Policy variable can assume on the structures of the objective ariable. This quantification is of aggregated type since the scalars obtained are valid for all sectoral components of both the Policy variable and the objective variable. What is more relevant they are consistent with the multi-sectoral feature of the model, overcoming the objections put forward by the theory of aggregation. In fact the aggregation theory states that if we aggregate sectors we obtain a new model with different structural properties, while, in our case, the aggregated scalar that we obtain for each structure is perfectly consistent with the original model. We call these scalars Macroeconomic Multipliers since they say how many time the modulus of the multi-sectoral Policy variable is multiplied when we compare it with the modulus of the effects observed on the multi-sectoral objective variable. Once identified the structures and the associated Macro Multipliers, the Policy maker can have a complete picture of the economic structure of the objective variables that can be attained and determine a ”convenient” structure of the Policy variable choosing either one structure or a combination of the structures identified.
