The Experts below are selected from a list of 38097 Experts worldwide ranked by ideXlab platform
Xuemin Shen - One of the best experts on this subject based on the ideXlab platform.
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Dependability Analysis of Control Center Networks in Smart Grid Using Stochastic Petri Nets
IEEE Transactions on Parallel and Distributed Systems, 2012Co-Authors: Rongfei Zeng, Rongfei Zeng, Yixin Jiang, Chuang Lin, Xuemin Sherman Shen, Yixin Jiang, Chuang Lin, Xuemin ShenAbstract:As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs, and increase reliability. In smart grid, control center networks have attracted a great deal of attention, because their security and Dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of smart grid security, but few work focuses on the Dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the Dependability of control center networks in smart grid. We present the general model of control center networks by considering different backup strategies of critical components. With the general SPNs model, we can measure the Dependability from two metrics, i.e., the reliability and availability, through analyzing the transient and steady-state probabilities simultaneously. To avoid the state-space explosion problem in computing, the state-space explosion avoidance method is proposed as well. Finally, we study a specific case to demonstrate the feasibility and efficiency of the proposed model in the Dependability analysis of control center networks in smart grid.
Rongfei Zeng - One of the best experts on this subject based on the ideXlab platform.
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Dependability Analysis of Control Center Networks in Smart Grid Using Stochastic Petri Nets
IEEE Transactions on Parallel and Distributed Systems, 2012Co-Authors: Rongfei Zeng, Rongfei Zeng, Yixin Jiang, Chuang Lin, Xuemin Sherman Shen, Yixin Jiang, Chuang Lin, Xuemin ShenAbstract:As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs, and increase reliability. In smart grid, control center networks have attracted a great deal of attention, because their security and Dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of smart grid security, but few work focuses on the Dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the Dependability of control center networks in smart grid. We present the general model of control center networks by considering different backup strategies of critical components. With the general SPNs model, we can measure the Dependability from two metrics, i.e., the reliability and availability, through analyzing the transient and steady-state probabilities simultaneously. To avoid the state-space explosion problem in computing, the state-space explosion avoidance method is proposed as well. Finally, we study a specific case to demonstrate the feasibility and efficiency of the proposed model in the Dependability analysis of control center networks in smart grid.
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a stochastic petri nets approach to Dependability analysis of control center networks in smart grid
International Conference on Wireless Communications and Signal Processing, 2011Co-Authors: Rongfei Zeng, Yixin JiangAbstract:As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs and increase reliability. In smart grid, control center networks have attracted a great number of attentions, because their security and Dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of security, but few work focuses on the Dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the Dependability of control center networks in smart grid. With the proposed SPNs model, we can measure the Dependability from two metrics, i.e., the reliability and availability, through analyzing the transient probability. We also study a specific case to demonstrate the feasibility and efficiency of the proposed model in the Dependability analysis of control center networks in smart grid.
Yixin Jiang - One of the best experts on this subject based on the ideXlab platform.
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Dependability Analysis of Control Center Networks in Smart Grid Using Stochastic Petri Nets
IEEE Transactions on Parallel and Distributed Systems, 2012Co-Authors: Rongfei Zeng, Rongfei Zeng, Yixin Jiang, Chuang Lin, Xuemin Sherman Shen, Yixin Jiang, Chuang Lin, Xuemin ShenAbstract:As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs, and increase reliability. In smart grid, control center networks have attracted a great deal of attention, because their security and Dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of smart grid security, but few work focuses on the Dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the Dependability of control center networks in smart grid. We present the general model of control center networks by considering different backup strategies of critical components. With the general SPNs model, we can measure the Dependability from two metrics, i.e., the reliability and availability, through analyzing the transient and steady-state probabilities simultaneously. To avoid the state-space explosion problem in computing, the state-space explosion avoidance method is proposed as well. Finally, we study a specific case to demonstrate the feasibility and efficiency of the proposed model in the Dependability analysis of control center networks in smart grid.
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a stochastic petri nets approach to Dependability analysis of control center networks in smart grid
International Conference on Wireless Communications and Signal Processing, 2011Co-Authors: Rongfei Zeng, Yixin JiangAbstract:As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs and increase reliability. In smart grid, control center networks have attracted a great number of attentions, because their security and Dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of security, but few work focuses on the Dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the Dependability of control center networks in smart grid. With the proposed SPNs model, we can measure the Dependability from two metrics, i.e., the reliability and availability, through analyzing the transient probability. We also study a specific case to demonstrate the feasibility and efficiency of the proposed model in the Dependability analysis of control center networks in smart grid.
Andrea Bondavalli - One of the best experts on this subject based on the ideXlab platform.
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optimal configuration of fault tolerance parameters for distributed replicated server access
International Journal of Critical Computer-based Systems, 2013Co-Authors: Alessandro Daidone, Thibault Julien Renier, Andrea Bondavalli, Hans-peter SchwefelAbstract:Server replication is a common fault-tolerance strategy to improve transaction Dependability for services in communications networks. In distributed architectures, fault-diagnosis and recovery are implemented via the interaction of the server replicas with the clients and other entities such as enhanced name servers. Such architectures provide an increased number of redundancy configuration choices. The influence of a (wide area) network connection can be quite significant and induce trade-offs between Dependability and user-perceived performance. This paper develops a quantitative stochastic model using stochastic activity networks (SAN) for the evaluation of performance and Dependability metrics of a generic transaction-based service implemented on a distributed replication architecture. The composite SAN model can be easily adapted to a wide range of client-server applications deployed in replicated server architectures. In order to obtain insight into the system behaviour, a set of relevant environment parameters and controllable fault-tolerance parameters are chosen and the Dependability/performance trade-off is evaluated.
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stochastic Dependability analysis of system architecture based on uml models
Lecture Notes in Computer Science, 2003Co-Authors: Istvan Majzik, Andras Pataricza, Andrea BondavalliAbstract:The work in this paper is devoted to the definition of a Dependability modeling and model based evaluation approach based on UML models. It is to be used in the early phases of the system design to capture system Dependability attributes like reliability and availabiUty, thus providing guidelines for the choice among different architectural and design solutions. We show how structural UML diagrams can be processed to filter out the Dependability related information and how a system-wide Dependability model is constructed. Due to the modular construction, this model can be refined later as more detailed information becomes available. We discuss the model refinement based on the General Resource Model, an extension of UML. We show that the Dependability model can be constructed automatically by using graph transformation techniques.
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markov regenerative stochastic petri nets to model and evaluate phased mission systems Dependability
IEEE Transactions on Computers, 2001Co-Authors: I Mura, Andrea BondavalliAbstract:This study deals with model-based Dependability transient analysis of phased mission systems. A review of the studies in the literature showed that several aspects of multiphased systems pose challenging problems to the Dependability evaluation methods and tools. To attack the weak points of the state-of-the-art we propose a modeling methodology that exploits the power of the class of Markov regenerative stochastic Petri net models. By exploiting the techniques available in the literature for the analysis of the Markov Regenerative Processes, we obtain an analytical solution technique with a low computational complexity, basically dominated by the cost of the separate analysis of the system inside each phase. Last, the existence of analytical solutions allows us to derive the sensitivity functions of the Dependability measures, thus providing the Dependability engineer with additional means for the study of phased mission systems.
L I Xinxiang - One of the best experts on this subject based on the ideXlab platform.
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overview of iec tc 56 Dependability standards
Electronic Product Reliability and Environmental Testing, 2003Co-Authors: L I XinxiangAbstract:Since its establishment in 1965, IEC/TC 56 has changed its name and its organization about the development of international standards, with the introduction of the " kit" concept to reliability standards in 1987, the development and structure of Dependability standards has changed a lot. And recently, the "kit" Dependability standards became a standardize system under the long term effort of IEC/TC 56.
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overview of iec tc 56 Dependability standards
Electronic Product Reliability and Environmental Testing, 2003Co-Authors: L I XinxiangAbstract:Since its establishment in 1965, IEC/TC 56 has changed its name and its organization about the development of international standards, with the introduction of the " kit" concept to reliability standards in 1987, the development and structure of Dependability standards has changed a lot. And recently, the "kit" Dependability standards became a standardize system under the long term effort of IEC/TC 56.
