Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Big data analysis is a main challenge  meet recently. Cloud computing is attracting more and more big data analysis applications, due to its ll scalability and fault-tolerance. Some aggregation functions, like SUM, can be computed in parallel, because they satisfy distributive law of addition. Unfortunately, some of statistical functions are not naturally parallelizable. That means they do not satisfy distributive law of addition. ,  focus on percentile computing problem.  proposed an iterative-style prediction-based parallel algorithm in a distributed system. Prediction is done through a sampling technique. Experiment results verify the efficiency of our algorithm.
['Xiongpai Qin', 'Huijui Wang', 'Xiaoyong Du', 'Shan Wang']
I am writing a research paper on a idea Parallel Aggregation Queries over Star Schema: A Hierarchical Encoding Scheme and Efficient Percentile Computing as a Case
[{"from": "human", "value": "I am writing a research paper on a idea Parallel Aggregation Queries over Star Schema: A Hierarchical Encoding Scheme and Efficient Percentile Computing as a Case"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Big data analysis is a main challenge  meet recently. Cloud computing is attracting more and more big data analysis applications, due to its ll scalability and fault-tolerance. Some aggregation functions, like SUM, can be computed in parallel, because they satisfy distributive law of addition. Unfortunately, some of statistical functions are not naturally parallelizable. That means they do not satisfy distributive law of addition. ,  focus on percentile computing problem.  proposed an iterative-style prediction-based parallel algorithm in a distributed system. Prediction is done through a sampling technique. Experiment results verify the efficiency of our algorithm."}]