Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a cloud service composition framework that selects the optimal composition based on an end user's long-term Quality of Service (QoS) requirements. In a typical cloud environment, existing solutions are not suitable when service providers fail to provide the long-term QoS provision advertisements. The proposed framework uses a new  multivariate QoS analysis  to predict the long-term QoS provisions from service providers’ historical QoS data and short-term advertisements represented using  Time Series . The quality of the QoS prediction is improved by incorporating QoS attributes’  intra correlations  into the multivariate analysis. To select the optimal service composition, the proposed framework uses QoS time series’  inter correlations  and performs a novel  time series group similarity approach  on the predicted QoS values. Experiments are conducted on real QoS dataset and results prove the efficiency of the proposed approach.
['Zhen Ye', 'Sajib Mistry', 'Athman Bouguettaya', 'Hai Dong']
I am writing a research paper on a idea Long-Term QoS-Aware Cloud Service Composition Using Multivariate Time Series Analysis
[{"from": "human", "value": "I am writing a research paper on a idea Long-Term QoS-Aware Cloud Service Composition Using Multivariate Time Series Analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a cloud service composition framework that selects the optimal composition based on an end user's long-term Quality of Service (QoS) requirements. In a typical cloud environment, existing solutions are not suitable when service providers fail to provide the long-term QoS provision advertisements. The proposed framework uses a new  multivariate QoS analysis  to predict the long-term QoS provisions from service providers\u2019 historical QoS data and short-term advertisements represented using  Time Series . The quality of the QoS prediction is improved by incorporating QoS attributes\u2019  intra correlations  into the multivariate analysis. To select the optimal service composition, the proposed framework uses QoS time series\u2019  inter correlations  and performs a novel  time series group similarity approach  on the predicted QoS values. Experiments are conducted on real QoS dataset and results prove the efficiency of the proposed approach."}]