The Experts below are selected from a list of 5169 Experts worldwide ranked by ideXlab platform
Weiming Shen - One of the best experts on this subject based on the ideXlab platform.
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a quality of service qos aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Mingrui Wang, Weiming ShenAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective.
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A quality of service (QoS)-aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Min Liu, Nan Luo, Mingrui Wang, Weiming Shen, Junwei YanAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective. © 2011 Elsevier B.V. All rights reserved.
Mingrui Wang - One of the best experts on this subject based on the ideXlab platform.
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a quality of service qos aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Mingrui Wang, Weiming ShenAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective.
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A quality of service (QoS)-aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Min Liu, Nan Luo, Mingrui Wang, Weiming Shen, Junwei YanAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective. © 2011 Elsevier B.V. All rights reserved.
Junwei Yan - One of the best experts on this subject based on the ideXlab platform.
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A quality of service (QoS)-aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Min Liu, Nan Luo, Mingrui Wang, Weiming Shen, Junwei YanAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective. © 2011 Elsevier B.V. All rights reserved.
Min Liu - One of the best experts on this subject based on the ideXlab platform.
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A quality of service (QoS)-aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Min Liu, Nan Luo, Mingrui Wang, Weiming Shen, Junwei YanAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective. © 2011 Elsevier B.V. All rights reserved.
Nan Luo - One of the best experts on this subject based on the ideXlab platform.
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A quality of service (QoS)-aware Execution Plan selection approach for a service composition process
Future Generation Computer Systems, 2012Co-Authors: Min Liu, Nan Luo, Mingrui Wang, Weiming Shen, Junwei YanAbstract:The quality of service (QoS)-aware service composition (QSC) problem is to find an Execution Plan of a service composition process which can ensure that the quality of service meets given user requirements. This paper proposes a branch and bound for Execution Plan selection (BB4EPS) algorithm to solve the QSC problem. In the proposed BB4EPS algorithm, a universal QoS model is used to evaluate the QoS parameters for service composition, and the QSC problem is modeled as an extended flexible constraint satisfaction framework, in which the utility function is applied to build the objective function. Numerical simulation results show that the proposed algorithm is feasible and effective. © 2011 Elsevier B.V. All rights reserved.
