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Guillaume Pierre - One of the best experts on this subject based on the ideXlab platform.

  • ec2 Performance analysis for resource provisioning of service oriented applications
    International Conference on Service Oriented Computing, 2009
    Co-Authors: Jiang Dejun, Guillaume Pierre
    Abstract:

    Cloud computing is receiving increasingly attention as it provides infinite resource capacity and "pay-as-you-go" resource usage pattern to hosted applications. To maintain its SLA targets, resource provisioning of service-oriented applications in the cloud requires reliable Performance from the cloud resources. In this paper, we study Performance behavior of small instances in Amazon EC2. We demonstrate that the Performance of virtual instances is relatively stable over time with fluctuations of mean response time within at most 8% of the longterm average. Moreover, we also show that different supposedly identical instances often have very different Performance, up to a ratio 4 from each other. We consider this as an important issue that must be addressed, but also as an opportunity as it allows one to assign each instance with a task that matches its own Performance Profile.

  • ICSOC/ServiceWave Workshops - EC2 Performance analysis for resource provisioning of service-oriented applications
    Service-Oriented Computing – ICSOC 2007, 2009
    Co-Authors: Jiang Dejun, Guillaume Pierre
    Abstract:

    Cloud computing is receiving increasingly attention as it provides infinite resource capacity and "pay-as-you-go" resource usage pattern to hosted applications. To maintain its SLA targets, resource provisioning of service-oriented applications in the cloud requires reliable Performance from the cloud resources. In this paper, we study Performance behavior of small instances in Amazon EC2. We demonstrate that the Performance of virtual instances is relatively stable over time with fluctuations of mean response time within at most 8% of the longterm average. Moreover, we also show that different supposedly identical instances often have very different Performance, up to a ratio 4 from each other. We consider this as an important issue that must be addressed, but also as an opportunity as it allows one to assign each instance with a task that matches its own Performance Profile.

Hui Shen - One of the best experts on this subject based on the ideXlab platform.

  • applying the uml Performance Profile graph grammar based derivation of lqn models from uml specifications
    Lecture Notes in Computer Science, 2002
    Co-Authors: Dorina C. Petriu, Hui Shen
    Abstract:

    The Object Management Group (OMG) is in the process of defining a UML Profile for Schedulability, Performance and Time that will enable the construction of models for making quantitative predictions regarding these characteristics. The paper proposes a graph-grammar based method for transforming automatically a UML model annotated with Performance information into a Layered Queueing Network (LQN) Performance model. The input to our transformation algorithm is an XML file that contains the UML model in XML format according to the standard XMI interface. The output is the corresponding LQN model description file, which can be read directly by existing LQN solvers. The LQN model structure is generated from the high-level software architecture and from deployment diagrams indicating the allocation of software components to hardware devices. The LQN model parameters are obtained from detailed models of key Performance scenarios, represented as UML interaction or activity diagrams.

  • Computer Performance Evaluation / TOOLS - Applying the UML Performance Profile: Graph Grammar-Based Derivation of LQN Models from UML Specifications
    Computer Performance Evaluation: Modelling Techniques and Tools, 2002
    Co-Authors: Dorina C. Petriu, Hui Shen
    Abstract:

    The Object Management Group (OMG) is in the process of defining a UML Profile for Schedulability, Performance and Time that will enable the construction of models for making quantitative predictions regarding these characteristics. The paper proposes a graph-grammar based method for transforming automatically a UML model annotated with Performance information into a Layered Queueing Network (LQN) Performance model. The input to our transformation algorithm is an XML file that contains the UML model in XML format according to the standard XMI interface. The output is the corresponding LQN model description file, which can be read directly by existing LQN solvers. The LQN model structure is generated from the high-level software architecture and from deployment diagrams indicating the allocation of software components to hardware devices. The LQN model parameters are obtained from detailed models of key Performance scenarios, represented as UML interaction or activity diagrams.

Braulio Sánchez Ureña - One of the best experts on this subject based on the ideXlab platform.

  • TECHNICAL Performance Profile OF THE FOUR-TIME COSTA RICAN SENIOR BASKETBALL LEAGUE CHAMPIONSHIP TEAM
    MHSalud, 2011
    Co-Authors: Luis Blanco Romero, Pedro Ureña Bonilla, Jorge Salas Cabrera, Braulio Sánchez Ureña
    Abstract:

    Resumen en: The purpose of this study was to analyze and compare the technical Performance Profile of the four-time Costa Rican Senior Basketball League championship...

  • TECHNICAL Performance Profile OF THE FOUR-TIME COSTA RICAN SENIOR BASKETBALL LEAGUE CHAMPIONSHIP TEAM
    2011
    Co-Authors: Luis Blanco Romero, Pedro Ureña Bonilla, Jorge Salas Cabrera, Braulio Sánchez Ureña, Elieth Salazar-alpízar
    Abstract:

    The purpose of this study was to analyze and compare the technical Performance Profile of the four-time Costa Rican Senior Basketball League championship team. A total of 142 games was recorded throughout the 2007, 2008 and 2009 seasons. Performance indicators selected were: two and three-point shots (converted, missed, effectiveness rates), free throws (converted, missed, effectiveness rates), points, offensive and defensive rebounds, fouls, turnovers, assists and ball steals. The information was described based on absolute and relative frequency values. Data was compared by season and by playing period based on the following non-parametric techniques: U-test, Friedman test and Chi-square. In all cases, SPSS version 15.0 was used with a significance level of p ≤ 0.05. Results showed a better Profile of technical Performance in the 2008 season, characterized by better percentages of two-point shots, free throws, fewer turnovers and more ball steals and assists. In relation to the playing period, the team showed a better technical Performance Profile during the second half of the matches. In general, the effectiveness rate of two-point shots and free throws was above 60% in both playing periods, while the three-point shot percentage ranged between 26.4% and 29.2%. In conclusion, the team showed a similar technical Performance Profile to that reported in the literature, as well as a clear evidence of the importance of recording and following up on technical Performance indicators in basketball.

Luis Blanco Romero - One of the best experts on this subject based on the ideXlab platform.

  • TECHNICAL Performance Profile OF THE FOUR-TIME COSTA RICAN SENIOR BASKETBALL LEAGUE CHAMPIONSHIP TEAM
    MHSalud, 2011
    Co-Authors: Luis Blanco Romero, Pedro Ureña Bonilla, Jorge Salas Cabrera, Braulio Sánchez Ureña
    Abstract:

    Resumen en: The purpose of this study was to analyze and compare the technical Performance Profile of the four-time Costa Rican Senior Basketball League championship...

  • TECHNICAL Performance Profile OF THE FOUR-TIME COSTA RICAN SENIOR BASKETBALL LEAGUE CHAMPIONSHIP TEAM
    2011
    Co-Authors: Luis Blanco Romero, Pedro Ureña Bonilla, Jorge Salas Cabrera, Braulio Sánchez Ureña, Elieth Salazar-alpízar
    Abstract:

    The purpose of this study was to analyze and compare the technical Performance Profile of the four-time Costa Rican Senior Basketball League championship team. A total of 142 games was recorded throughout the 2007, 2008 and 2009 seasons. Performance indicators selected were: two and three-point shots (converted, missed, effectiveness rates), free throws (converted, missed, effectiveness rates), points, offensive and defensive rebounds, fouls, turnovers, assists and ball steals. The information was described based on absolute and relative frequency values. Data was compared by season and by playing period based on the following non-parametric techniques: U-test, Friedman test and Chi-square. In all cases, SPSS version 15.0 was used with a significance level of p ≤ 0.05. Results showed a better Profile of technical Performance in the 2008 season, characterized by better percentages of two-point shots, free throws, fewer turnovers and more ball steals and assists. In relation to the playing period, the team showed a better technical Performance Profile during the second half of the matches. In general, the effectiveness rate of two-point shots and free throws was above 60% in both playing periods, while the three-point shot percentage ranged between 26.4% and 29.2%. In conclusion, the team showed a similar technical Performance Profile to that reported in the literature, as well as a clear evidence of the importance of recording and following up on technical Performance indicators in basketball.

José M. Palao - One of the best experts on this subject based on the ideXlab platform.

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