Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Networked applications continuously move towards service-based and modular solutions. At the same time, b technologies, proven to be modular and distributed, are applied to these application areas. Hover, b technologies have to be adapted to the new characteristics of the involved systems -- no explicit client and server roles, use of heterogeneous devices, or high frequency and low latency data communication. To this end,  present an approach for describing distributed applications in terms of graphs of communicating nodes. In particular,  develop a formal model for capturing the communication beten nodes, by including dynamic and static data producing devices, data consuming client applications, as ll as devices that can serve as data produces and consumers at the same time. In our model,  characterise nodes by their frequencies of data exchange.  complement our model with a decision algorithm for determining the pull/push communication direction to optimise the amount of redundantly transferred data (i.e., data that is pushed but cannot be processed or data that is pulled but is not yet updated). The presented work lays the foundation for creating distributed applications which can automatically optimise data exchange.
['Felix Leif Keppmann', 'Maria Maleshkova', 'Andreas Harth']
I am writing a research paper on a idea Towards Optimising the Data Flow in Distributed Applications
[{"from": "human", "value": "I am writing a research paper on a idea Towards Optimising the Data Flow in Distributed Applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Networked applications continuously move towards service-based and modular solutions. At the same time, b technologies, proven to be modular and distributed, are applied to these application areas. Hover, b technologies have to be adapted to the new characteristics of the involved systems -- no explicit client and server roles, use of heterogeneous devices, or high frequency and low latency data communication. To this end,  present an approach for describing distributed applications in terms of graphs of communicating nodes. In particular,  develop a formal model for capturing the communication beten nodes, by including dynamic and static data producing devices, data consuming client applications, as ll as devices that can serve as data produces and consumers at the same time. In our model,  characterise nodes by their frequencies of data exchange.  complement our model with a decision algorithm for determining the pull/push communication direction to optimise the amount of redundantly transferred data (i.e., data that is pushed but cannot be processed or data that is pulled but is not yet updated). The presented work lays the foundation for creating distributed applications which can automatically optimise data exchange."}]