Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. Data sources producing 10GB per second (and more) are becoming increasingly commonplace in both simulation, sensor and experimental sciences. These data sources, which are often distributed around the world, must be analyzed by teams of scientists that are also distributed. Enabling scientists to view, query and interact with such large volumes of data in near-real-time requires a rich fusion of visualization and analysis techniques, middleware and workflow systems.  discusses initial research into visualization and analysis of distributed data workflows that enables scientists to make near-real-time decisions of large volumes of time varying data.
['David Pugmire', 'James Kress', 'Jong Choi', 'Scott Klasky', 'Tahsin M. Kurç', 'R.M. Churchill', 'Matthew Wolf', 'Greg Eisenhower', 'Hank Childs', 'Kesheng Wu', 'Alex Sim', 'Junmin Gu', 'Jonathan Low']
I am writing a research paper on a idea Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows
[{"from": "human", "value": "I am writing a research paper on a idea Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. Data sources producing 10GB per second (and more) are becoming increasingly commonplace in both simulation, sensor and experimental sciences. These data sources, which are often distributed around the world, must be analyzed by teams of scientists that are also distributed. Enabling scientists to view, query and interact with such large volumes of data in near-real-time requires a rich fusion of visualization and analysis techniques, middleware and workflow systems.  discusses initial research into visualization and analysis of distributed data workflows that enables scientists to make near-real-time decisions of large volumes of time varying data."}]