Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The stochastic nature of the cloud systems makes cloud quality of service (QoS) performance diagnosis and prediction a challenging task. A plethora of factors including virtual machine types, data centre regions, CPU types, time-of-the-day, and day-of-the-ek contribute to the variability of the cloud QoS. The state-of-the-art methods for cloud performance diagnosis do not capture and model complex and uncertain inter-dependencies beten these factors for efficient cloud QoS diagnosis and prediction.  presents ALPINE, a proof-of-concept system based on Bayesian networks. Using a real-life dataset,  demonstrate that ALPINE can be utilised for efficient cloud QoS diagnosis and prediction under stochastic cloud conditions.
['Emanuel Palm', 'Karan Mitra', 'Saguna Saguna', 'Christer Åhlund']
I am writing a research paper on a idea A Bayesian System for Cloud Performance Diagnosis and Prediction
[{"from": "human", "value": "I am writing a research paper on a idea A Bayesian System for Cloud Performance Diagnosis and Prediction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The stochastic nature of the cloud systems makes cloud quality of service (QoS) performance diagnosis and prediction a challenging task. A plethora of factors including virtual machine types, data centre regions, CPU types, time-of-the-day, and day-of-the-ek contribute to the variability of the cloud QoS. The state-of-the-art methods for cloud performance diagnosis do not capture and model complex and uncertain inter-dependencies beten these factors for efficient cloud QoS diagnosis and prediction.  presents ALPINE, a proof-of-concept system based on Bayesian networks. Using a real-life dataset,  demonstrate that ALPINE can be utilised for efficient cloud QoS diagnosis and prediction under stochastic cloud conditions."}]