The Experts below are selected from a list of 258 Experts worldwide ranked by ideXlab platform

Karama Kanoun - One of the best experts on this subject based on the ideXlab platform.

  • Performability Evaluation of Web-Based Services
    Performance and Dependability in Service Computing, 2012
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    The joint evaluation of performance and dependability in a unique approach leads to the notion of performability which usually combines different analytical modeling formalisms (Markov chains, queueing models, etc.) for assessing systems behaviors in the presence of faults. This chapter presents a systematic modeling approach allowing designers of web-based Services to evaluate the performability of the Service provided to the users. We have developed a multi-level modeling framework for analyzing the user perceived performability. Multiple sources of Service Unavailability are taken into account, particularly i) hardware and software failures affecting the servers, and ii) performance degradation due to e.g. overload of servers and probability of loss. The main concepts and the feasibility of the proposed framework are illustrated using a web-based travel agency. Various analytical models and sensitivity studies are presented considering different assumptions with respect to users profiles, architecture, faults, recovery strategies, and traffic characteristics.

  • Modeling user perceived Unavailability due to long response times
    2006
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun, Carlos Aguilar Melchor
    Abstract:

    In this paper, we introduce a simple analytical modeling approach for computing Service Unavailability due to long response time, for infinite and finite single-server systems as well as for multi-server systems. Closed-form equations of system Unavailability based on the conditional response time distributions are derived and sensitivity analyses are carried out to analyze the impact of long response time on Service Unavailability. The evaluation provides practical quantitative results that can help distributed system developers in design decisions.

  • IPDPS - Modeling user perceived Unavailability due to long response times
    Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, 2006
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun, C.a. Melchor
    Abstract:

    International audienceIn this paper, we introduce a simple analytical modeling approach for computing Service Unavailability due to long response time, for infinite and finite single-server systems as well as for multi-server systems. Closed-form equations of system Unavailability based on the conditional response time distributions are derived and sensitivity analyses are carried out to analyze the impact of long response time on Service Unavailability. The evaluation provides practical quantitative results that can help distributed system developers in design decisions

  • web Service availability impact of error recovery and traffic model
    Reliability Engineering & System Safety, 2005
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    Internet is often used for transaction based applications such as online banking, stock trading and shopping, where the Service interruption or outages are unacceptable. Therefore, it is important for designers of such applications to analyze how hardware, software and performance related failures affect the quality of Service delivered to the users. This paper presents analytical models for evaluating the Service availability of web cluster architectures. A composite performance and availability modeling approach is defined considering various causes of Service Unavailability. In particular, web cluster systems are modeled taking into account: two error recovery strategies (client transparent and non-client-transparent) as well as two traffic models (Poisson and modulated Poisson). Sensitivity analysis results are presented to show their impact on the web Service availability. The obtained results provide useful guidelines to web designers.

  • Web Service availability—impact of error recovery and traffic model
    Reliability Engineering & System Safety, 2005
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    Internet is often used for transaction based applications such as online banking, stock trading and shopping, where the Service interruption or outages are unacceptable. Therefore, it is important for designers of such applications to analyze how hardware, software and performance related failures affect the quality of Service delivered to the users. This paper presents analytical models for evaluating the Service availability of web cluster architectures. A composite performance and availability modeling approach is defined considering various causes of Service Unavailability. In particular, web cluster systems are modeled taking into account: two error recovery strategies (client transparent and non-client-transparent) as well as two traffic models (Poisson and modulated Poisson). Sensitivity analysis results are presented to show their impact on the web Service availability. The obtained results provide useful guidelines to web designers.

Magnos Martinello - One of the best experts on this subject based on the ideXlab platform.

  • Performability Evaluation of Web-Based Services
    Performance and Dependability in Service Computing, 2012
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    The joint evaluation of performance and dependability in a unique approach leads to the notion of performability which usually combines different analytical modeling formalisms (Markov chains, queueing models, etc.) for assessing systems behaviors in the presence of faults. This chapter presents a systematic modeling approach allowing designers of web-based Services to evaluate the performability of the Service provided to the users. We have developed a multi-level modeling framework for analyzing the user perceived performability. Multiple sources of Service Unavailability are taken into account, particularly i) hardware and software failures affecting the servers, and ii) performance degradation due to e.g. overload of servers and probability of loss. The main concepts and the feasibility of the proposed framework are illustrated using a web-based travel agency. Various analytical models and sensitivity studies are presented considering different assumptions with respect to users profiles, architecture, faults, recovery strategies, and traffic characteristics.

  • Modeling user perceived Unavailability due to long response times
    2006
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun, Carlos Aguilar Melchor
    Abstract:

    In this paper, we introduce a simple analytical modeling approach for computing Service Unavailability due to long response time, for infinite and finite single-server systems as well as for multi-server systems. Closed-form equations of system Unavailability based on the conditional response time distributions are derived and sensitivity analyses are carried out to analyze the impact of long response time on Service Unavailability. The evaluation provides practical quantitative results that can help distributed system developers in design decisions.

  • IPDPS - Modeling user perceived Unavailability due to long response times
    Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, 2006
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun, C.a. Melchor
    Abstract:

    International audienceIn this paper, we introduce a simple analytical modeling approach for computing Service Unavailability due to long response time, for infinite and finite single-server systems as well as for multi-server systems. Closed-form equations of system Unavailability based on the conditional response time distributions are derived and sensitivity analyses are carried out to analyze the impact of long response time on Service Unavailability. The evaluation provides practical quantitative results that can help distributed system developers in design decisions

  • Availability modeling and evaluation of web-based Services - A pragmatic approach
    2005
    Co-Authors: Magnos Martinello
    Abstract:

    This thesis presents a pragmatic modeling approach allowing designers of web-based applications and systems to evaluate the Service availability provided to the users. Multiple sources of Service Unavailability are taken into account, in particular i) hardware and software failures affecting the servers, and ii) performance degradation (overload of servers, very long response time, etc.). An hierarchical multi-level approach is proposed based on performability modeling, combining Markov chains and queueing models. The main concepts and the feasibility of this approach are illustrated using a web-based travel agency. Various analytical models and sensitivity studies are presented considering different assumptions with respect to the architectures, recovery strategies, faults, users profile and traffic characteristics.

  • web Service availability impact of error recovery and traffic model
    Reliability Engineering & System Safety, 2005
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    Internet is often used for transaction based applications such as online banking, stock trading and shopping, where the Service interruption or outages are unacceptable. Therefore, it is important for designers of such applications to analyze how hardware, software and performance related failures affect the quality of Service delivered to the users. This paper presents analytical models for evaluating the Service availability of web cluster architectures. A composite performance and availability modeling approach is defined considering various causes of Service Unavailability. In particular, web cluster systems are modeled taking into account: two error recovery strategies (client transparent and non-client-transparent) as well as two traffic models (Poisson and modulated Poisson). Sensitivity analysis results are presented to show their impact on the web Service availability. The obtained results provide useful guidelines to web designers.

Mohamed Kaâniche - One of the best experts on this subject based on the ideXlab platform.

  • Performability Evaluation of Web-Based Services
    Performance and Dependability in Service Computing, 2012
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    The joint evaluation of performance and dependability in a unique approach leads to the notion of performability which usually combines different analytical modeling formalisms (Markov chains, queueing models, etc.) for assessing systems behaviors in the presence of faults. This chapter presents a systematic modeling approach allowing designers of web-based Services to evaluate the performability of the Service provided to the users. We have developed a multi-level modeling framework for analyzing the user perceived performability. Multiple sources of Service Unavailability are taken into account, particularly i) hardware and software failures affecting the servers, and ii) performance degradation due to e.g. overload of servers and probability of loss. The main concepts and the feasibility of the proposed framework are illustrated using a web-based travel agency. Various analytical models and sensitivity studies are presented considering different assumptions with respect to users profiles, architecture, faults, recovery strategies, and traffic characteristics.

  • Modeling user perceived Unavailability due to long response times
    2006
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun, Carlos Aguilar Melchor
    Abstract:

    In this paper, we introduce a simple analytical modeling approach for computing Service Unavailability due to long response time, for infinite and finite single-server systems as well as for multi-server systems. Closed-form equations of system Unavailability based on the conditional response time distributions are derived and sensitivity analyses are carried out to analyze the impact of long response time on Service Unavailability. The evaluation provides practical quantitative results that can help distributed system developers in design decisions.

  • IPDPS - Modeling user perceived Unavailability due to long response times
    Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, 2006
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun, C.a. Melchor
    Abstract:

    International audienceIn this paper, we introduce a simple analytical modeling approach for computing Service Unavailability due to long response time, for infinite and finite single-server systems as well as for multi-server systems. Closed-form equations of system Unavailability based on the conditional response time distributions are derived and sensitivity analyses are carried out to analyze the impact of long response time on Service Unavailability. The evaluation provides practical quantitative results that can help distributed system developers in design decisions

  • web Service availability impact of error recovery and traffic model
    Reliability Engineering & System Safety, 2005
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    Internet is often used for transaction based applications such as online banking, stock trading and shopping, where the Service interruption or outages are unacceptable. Therefore, it is important for designers of such applications to analyze how hardware, software and performance related failures affect the quality of Service delivered to the users. This paper presents analytical models for evaluating the Service availability of web cluster architectures. A composite performance and availability modeling approach is defined considering various causes of Service Unavailability. In particular, web cluster systems are modeled taking into account: two error recovery strategies (client transparent and non-client-transparent) as well as two traffic models (Poisson and modulated Poisson). Sensitivity analysis results are presented to show their impact on the web Service availability. The obtained results provide useful guidelines to web designers.

  • Web Service availability—impact of error recovery and traffic model
    Reliability Engineering & System Safety, 2005
    Co-Authors: Magnos Martinello, Mohamed Kaâniche, Karama Kanoun
    Abstract:

    Internet is often used for transaction based applications such as online banking, stock trading and shopping, where the Service interruption or outages are unacceptable. Therefore, it is important for designers of such applications to analyze how hardware, software and performance related failures affect the quality of Service delivered to the users. This paper presents analytical models for evaluating the Service availability of web cluster architectures. A composite performance and availability modeling approach is defined considering various causes of Service Unavailability. In particular, web cluster systems are modeled taking into account: two error recovery strategies (client transparent and non-client-transparent) as well as two traffic models (Poisson and modulated Poisson). Sensitivity analysis results are presented to show their impact on the web Service availability. The obtained results provide useful guidelines to web designers.

Sukhleen Bindra Narang - One of the best experts on this subject based on the ideXlab platform.

  • ICSOC Workshops - A Proactive Solution to Manage Web Service Unavailability in Service Oriented Software Systems
    Service-Oriented Computing – ICSOC 2015 Workshops, 2016
    Co-Authors: Navinderjit Kaur Kahlon, Salil Vishnu Kapur, Kuljit Kaur Chahal, Sukhleen Bindra Narang
    Abstract:

    A Service oriented application consists of component web Services which cooperate with each other to offer the desired functionality. Due to the distributed and unpredictable nature of the underlying environment, the component web Services have uncertain dependability characteristics. This paper looks into the issue of web Service availability. The paper proposes a proactive framework to manage the situation when third party web Services become unavailable. Software agents are employed to monitor web Services on the provider side. The framework is implemented in J2EE, using JADE environment for creating and deploying software agents. Experimental analysis shows that the proposed solution is effective and behaves considerably well when availability of component web Services is varied from 0 % to 100 %.

  • a proactive solution to manage web Service Unavailability in Service oriented software systems
    International Conference on Service Oriented Computing, 2015
    Co-Authors: Navinderjit Kaur Kahlon, Salil Vishnu Kapur, Kuljit Kaur Chahal, Sukhleen Bindra Narang
    Abstract:

    A Service oriented application consists of component web Services which cooperate with each other to offer the desired functionality. Due to the distributed and unpredictable nature of the underlying environment, the component web Services have uncertain dependability characteristics. This paper looks into the issue of web Service availability. The paper proposes a proactive framework to manage the situation when third party web Services become unavailable. Software agents are employed to monitor web Services on the provider side. The framework is implemented in J2EE, using JADE environment for creating and deploying software agents. Experimental analysis shows that the proposed solution is effective and behaves considerably well when availability of component web Services is varied from 0 % to 100 %.

Navinderjit Kaur Kahlon - One of the best experts on this subject based on the ideXlab platform.

  • ICSOC Workshops - A Proactive Solution to Manage Web Service Unavailability in Service Oriented Software Systems
    Service-Oriented Computing – ICSOC 2015 Workshops, 2016
    Co-Authors: Navinderjit Kaur Kahlon, Salil Vishnu Kapur, Kuljit Kaur Chahal, Sukhleen Bindra Narang
    Abstract:

    A Service oriented application consists of component web Services which cooperate with each other to offer the desired functionality. Due to the distributed and unpredictable nature of the underlying environment, the component web Services have uncertain dependability characteristics. This paper looks into the issue of web Service availability. The paper proposes a proactive framework to manage the situation when third party web Services become unavailable. Software agents are employed to monitor web Services on the provider side. The framework is implemented in J2EE, using JADE environment for creating and deploying software agents. Experimental analysis shows that the proposed solution is effective and behaves considerably well when availability of component web Services is varied from 0 % to 100 %.

  • a proactive solution to manage web Service Unavailability in Service oriented software systems
    International Conference on Service Oriented Computing, 2015
    Co-Authors: Navinderjit Kaur Kahlon, Salil Vishnu Kapur, Kuljit Kaur Chahal, Sukhleen Bindra Narang
    Abstract:

    A Service oriented application consists of component web Services which cooperate with each other to offer the desired functionality. Due to the distributed and unpredictable nature of the underlying environment, the component web Services have uncertain dependability characteristics. This paper looks into the issue of web Service availability. The paper proposes a proactive framework to manage the situation when third party web Services become unavailable. Software agents are employed to monitor web Services on the provider side. The framework is implemented in J2EE, using JADE environment for creating and deploying software agents. Experimental analysis shows that the proposed solution is effective and behaves considerably well when availability of component web Services is varied from 0 % to 100 %.