The Experts below are selected from a list of 1710 Experts worldwide ranked by ideXlab platform
Bin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Composite Service Reselection Method in Correlation Context
International Journal of Web Services Research, 2015Co-Authors: Yuesong Zhang, Bin Zhang, Changsheng ZhangAbstract:Reselection of composite service is one of the core research issues in service computing field. In practical scenarios, because of business relations between service providers or the restrictions of service physical deployment environment, there may be correlation among services. Its existence affects the quality of services used together, makes corresponding abstract services potentially correlating with each other. This leads the QoS used to determine the bindings between abstract and concrete services to be inaccurate, and the selected services would not be the optimal one in actual execution environment. In this paper, the QoS-Correlation services are extracted from the execution log through Apriori data mining method. Then, the authors capture the correlated abstract services to present such correlations in a higher level of abstraction regardless of actual services. In the final, the correlated abstract services will be regarded as a task unit, and the corresponding correlation services of each task unit as its candidate services set. They also propose a correlation-aware service selection method in the paper. The method includes runtime Reselection whenever the actual QoS largely deviates from the estimates.
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ICWS - Correlation-Supported Composite Service Reselection
2014 IEEE International Conference on Web Services, 2014Co-Authors: Yuesong Zhang, Bin Zhang, Changsheng ZhangAbstract:Reselection of composition service is one of the core research issues in the service computing field. Most of the existin-g researches for this problem are based on the assumption that the tasks involved are independent. However, in practical scenar-ios, the QoS of some candidate services have correlations with other services, which makes the corresponding tasks be correlated with each other. This leads the QoS used to determine the binding relationship between tasks and concrete services to be inaccurate, so the reselected composite service is not the optimal one in the real executing environment for these existing Reselection methods. To address this problem, this paper considers task correlations for runtime rebinding. Firstly, the QoS dependencies among services are extracted from the log repository through the APRIORI data mining method. Then, the acquired QoS dependencies are mapped to the tasks correlations by the defined mapping rules. Finally, the Reselection process is implemented by making the tasks which have related relationships as a task unit, and the related services of each task unit as its candidate service set. The effectiveness of this approach, in terms of time and quality, is demonstrated via experiments.
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APWeb - An Active Service Reselection Triggering Mechanism
Web Technologies and Applications, 2013Co-Authors: Ying Yin, Bin Zhang, Tiancheng Zhang, Gang Sheng, Yuhai ZhaoAbstract:Actively identifying service faults and actively trigger service Reselection are important management methods for efficiently promoting system reliability. Composite Web services, however, are often long-running, loosely coupled and cross-organizational applications. They always run in a highly dynamic and changing environment(The Web) which imposes many uncertainties, such as server unavailable or network interruption or temporarily interrupt and so on. Under these uncontrollable circumstances, it is impractical to monitor the changes in Quality of Service parameters for each and every service in order to timely trigger service Reselection, due to high computational costs associated with the process. In order to overcome the above problem, this paper proposes an efficient Reselection mechanism by mining early patterns in advance. The system will trigger service Reselection once potential execution failure is detected by matching these early patterns with the current situation. The process is real time and low-cost, and as such, the proposed mechanism will improve system reliability.
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QoS-Driven Transactional Web Service Reselection for Reliable Execution
2010 International Conference of Information Science and Management Engineering, 2010Co-Authors: Ying Yin, Bin Zhang, Xizhe ZhangAbstract:One of the advantages of Web service technology is it can create added-value services and complete the complex transactions or workflows by combining existing ones. However, they always run in a highly dynamic and change environment, during the execution process, if one component service fails or becomes overloaded, the failed services replacing mechanism is needed to ensure that the running process is not interrupted. Towards traditional service adaptive mechanism unreliable for lacking transaction support, this paper proposes a QoS-driven transactional service Reselection model for reliable replacement. The model reselects web services not only according to their QoS characteristics but also to their transactional properties. Furthermore, a new comprehensive, objective service Reselection utility function over QoS with transactional risk is presented, and the self healing algorithm is proposed. Experiments show that the model guarantees business process reliability.
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QoS-driven self-healing web service composition based on performance prediction
Journal of Computer Science and Technology, 2009Co-Authors: Yu Dai, Lei Yang, Bin ZhangAbstract:Web services run in a highly dynamic environment, as a result, the QoS of which will change relatively frequently. In order to make the composite service adapt to such dynamic property of Web services, we propose a self-healing approach for web service composition. Such an approach is an integration of backing up in selection and reselecting in execution. In order to make the composite service heal itself as quickly as possible and minimize the number of Reselections, a way of performance prediction is proposed in this paper. On this basis, the self-healing approach is presented including framework, the triggering algorithm of the Reselection and the reliability model of the service. Experiments show that the proposed solutions have better performance in supporting the self-healing Web service composition.
Changsheng Zhang - One of the best experts on this subject based on the ideXlab platform.
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Composite Service Reselection Method in Correlation Context
International Journal of Web Services Research, 2015Co-Authors: Yuesong Zhang, Bin Zhang, Changsheng ZhangAbstract:Reselection of composite service is one of the core research issues in service computing field. In practical scenarios, because of business relations between service providers or the restrictions of service physical deployment environment, there may be correlation among services. Its existence affects the quality of services used together, makes corresponding abstract services potentially correlating with each other. This leads the QoS used to determine the bindings between abstract and concrete services to be inaccurate, and the selected services would not be the optimal one in actual execution environment. In this paper, the QoS-Correlation services are extracted from the execution log through Apriori data mining method. Then, the authors capture the correlated abstract services to present such correlations in a higher level of abstraction regardless of actual services. In the final, the correlated abstract services will be regarded as a task unit, and the corresponding correlation services of each task unit as its candidate services set. They also propose a correlation-aware service selection method in the paper. The method includes runtime Reselection whenever the actual QoS largely deviates from the estimates.
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ICWS - Correlation-Supported Composite Service Reselection
2014 IEEE International Conference on Web Services, 2014Co-Authors: Yuesong Zhang, Bin Zhang, Changsheng ZhangAbstract:Reselection of composition service is one of the core research issues in the service computing field. Most of the existin-g researches for this problem are based on the assumption that the tasks involved are independent. However, in practical scenar-ios, the QoS of some candidate services have correlations with other services, which makes the corresponding tasks be correlated with each other. This leads the QoS used to determine the binding relationship between tasks and concrete services to be inaccurate, so the reselected composite service is not the optimal one in the real executing environment for these existing Reselection methods. To address this problem, this paper considers task correlations for runtime rebinding. Firstly, the QoS dependencies among services are extracted from the log repository through the APRIORI data mining method. Then, the acquired QoS dependencies are mapped to the tasks correlations by the defined mapping rules. Finally, the Reselection process is implemented by making the tasks which have related relationships as a task unit, and the related services of each task unit as its candidate service set. The effectiveness of this approach, in terms of time and quality, is demonstrated via experiments.
Qing Zhou - One of the best experts on this subject based on the ideXlab platform.
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MONAMI - Proactive Vertical Handover Optimizations in the 3GPP Evolved Packet Core
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2011Co-Authors: Marius Corici, Cornel Pampu, Dragos Vingarzan, Thomas Magedanz, Qing ZhouAbstract:Mobility in a wireless heterogeneous scenario in which the mobile devices are able to connect to more than one access technology available in their vicinity requires a re-consideration of the access network Reselection mechanisms as to ensure seamless handovers for real deployments. This paper describes and evaluates a new proactive vertical handover optimization which enables a fast Reselection, independent and in addition to the classic proactive procedures. It uses as central concept the separation between the proactive context establishment and the actual handover triggered operations which may be at their turn active or proactive. This concept is exemplified on the 3GPP Evolved Packet Core and evaluated on a minimal prototype implementation.
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proactive vertical handover optimizations in the 3gpp evolved packet core
International Conference on Mobile Networks and Management, 2010Co-Authors: Marius Corici, Cornel Pampu, Dragos Vingarzan, Thomas Magedanz, Qing ZhouAbstract:Mobility in a wireless heterogeneous scenario in which the mobile devices are able to connect to more than one access technology available in their vicinity requires a re-consideration of the access network Reselection mechanisms as to ensure seamless handovers for real deployments. This paper describes and evaluates a new proactive vertical handover optimization which enables a fast Reselection, independent and in addition to the classic proactive procedures. It uses as central concept the separation between the proactive context establishment and the actual handover triggered operations which may be at their turn active or proactive. This concept is exemplified on the 3GPP Evolved Packet Core and evaluated on a minimal prototype implementation.
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GLOBECOM - Access Network Reselection Based on Momentary Resources in a Converged Wireless Environment
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010Co-Authors: Marius Corici, Cornel Pampu, Dragos Vingarzan, Thomas Magedanz, Qing ZhouAbstract:Mobility in a wireless heterogeneous scenario in which the mobile devices are able to connect to more than one access technology available in their vicinity requires a re-consideration on the access network Reselection mechanisms. The present paper describes and evaluates the opportunity of introducing novel access Reselection procedures which enable a network provider to optimize the allocation of the users on the different access networks available using as central concept that handovers can and should be triggered by the modifications on the resources required by the mobile devices in order to optimize the overall usage of the wireless environment. This concept is exemplified on the 3GPP Evolved Packet Core and evaluated on a minimal prototype implementation.
Yuesong Zhang - One of the best experts on this subject based on the ideXlab platform.
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Composite Service Reselection Method in Correlation Context
International Journal of Web Services Research, 2015Co-Authors: Yuesong Zhang, Bin Zhang, Changsheng ZhangAbstract:Reselection of composite service is one of the core research issues in service computing field. In practical scenarios, because of business relations between service providers or the restrictions of service physical deployment environment, there may be correlation among services. Its existence affects the quality of services used together, makes corresponding abstract services potentially correlating with each other. This leads the QoS used to determine the bindings between abstract and concrete services to be inaccurate, and the selected services would not be the optimal one in actual execution environment. In this paper, the QoS-Correlation services are extracted from the execution log through Apriori data mining method. Then, the authors capture the correlated abstract services to present such correlations in a higher level of abstraction regardless of actual services. In the final, the correlated abstract services will be regarded as a task unit, and the corresponding correlation services of each task unit as its candidate services set. They also propose a correlation-aware service selection method in the paper. The method includes runtime Reselection whenever the actual QoS largely deviates from the estimates.
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ICWS - Correlation-Supported Composite Service Reselection
2014 IEEE International Conference on Web Services, 2014Co-Authors: Yuesong Zhang, Bin Zhang, Changsheng ZhangAbstract:Reselection of composition service is one of the core research issues in the service computing field. Most of the existin-g researches for this problem are based on the assumption that the tasks involved are independent. However, in practical scenar-ios, the QoS of some candidate services have correlations with other services, which makes the corresponding tasks be correlated with each other. This leads the QoS used to determine the binding relationship between tasks and concrete services to be inaccurate, so the reselected composite service is not the optimal one in the real executing environment for these existing Reselection methods. To address this problem, this paper considers task correlations for runtime rebinding. Firstly, the QoS dependencies among services are extracted from the log repository through the APRIORI data mining method. Then, the acquired QoS dependencies are mapped to the tasks correlations by the defined mapping rules. Finally, the Reselection process is implemented by making the tasks which have related relationships as a task unit, and the related services of each task unit as its candidate service set. The effectiveness of this approach, in terms of time and quality, is demonstrated via experiments.
Rose Gamble - One of the best experts on this subject based on the ideXlab platform.
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Introducing replaceability into web service composition
IEEE Transactions on Services Computing, 2014Co-Authors: Hussein Al-helal, Rose GambleAbstract:By discovering and reusing relevant web services, an organization can select and compose those services that most closely meet its business and Quality of Service (QoS) needs. As the number of available web services increases, selecting the best fit services for a given task becomes more challenging. QoS attributes play a significant role in the selection process by directing service composition constraints to a workflow plan that has the best QoS values. Two major problems arise at runtime when undesirable events necessitate the need to reselect services and replan the service bindings. First, if the Reselection process consumes additional time, it can impact a temporal QoS constraint. Second, the newly generated composition might not comply with other QoS constraints imposed on the plan. This paper proposes an approach to composing web services that both performs Reselection and avoids the violation of QoS constraints after replanning by defining and evaluating a replaceability property. Replaceability factors directly into the algorithm's original service selection process considering all QoS constraints.
