Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Quality of Service (QoS) analysis and prediction for b service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic b service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component b services are probability distributions. ,  present a tool QoSDIST to analyze the QoS for b service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component b services, i.e., the QoS of a component b service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape.
['Huiyuan Zheng', 'Jian Yang', 'Weiliang Zhao']
I am writing a research paper on a idea Analyzing qos for web service compositions by QoSDIST
[{"from": "human", "value": "I am writing a research paper on a idea Analyzing qos for web service compositions by QoSDIST"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Quality of Service (QoS) analysis and prediction for b service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic b service compositions. Experimental results in [5] show that our proposed QoS calculation approach significantly improves the efficiency in QoS estimation when the QoS of component b services are probability distributions. ,  present a tool QoSDIST to analyze the QoS for b service compositions based on our proposed QoS calculation method in [5]. QoSDIST does not put any constraints on the modeling of the QoS of component b services, i.e., the QoS of a component b service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape."}]