Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In Internet-scale distributed and replicated services, poor consistency results in poor QoS or even monetary loss. Recent research focuses on enforcing a certain consistency level, instead of perfect consistency, to strike a balance beten consistency guarantee and system's scalability. ,  argue that it is equally, if not more, important to achieve adaptability.  I.e. , the system adjusts its consistency level on the fly to suit applications. ongoing need.  presents IDEA (an Infrastructure for DEtection-based Adaptive consistency control), a protocol that adaptively controls consistency in replicated services by detecting inconsistency among nodes in a timely manner via an inconsistency detection framework and resolving the detected inconsistencies efficiently when necessary. Through experimentation on Planet-Lab, IDEA is evaluated from two aspects: its adaptive interface and its performance of inconsistency resolution. Results show that IDEA achieves adaptability by adjusting the consistency level according to users. preference on-demand, and it achieves low inconsistency resolution delay and incurs minimal communication cost.
['Yijun Lu', 'Ying Lu', 'Hong Jiang']
I am writing a research paper on a idea IDEA:: an infrastructure for detection-based adaptive consistency control in replicated services
[{"from": "human", "value": "I am writing a research paper on a idea IDEA:: an infrastructure for detection-based adaptive consistency control in replicated services"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In Internet-scale distributed and replicated services, poor consistency results in poor QoS or even monetary loss. Recent research focuses on enforcing a certain consistency level, instead of perfect consistency, to strike a balance beten consistency guarantee and system's scalability. ,  argue that it is equally, if not more, important to achieve adaptability.  I.e. , the system adjusts its consistency level on the fly to suit applications. ongoing need.  presents IDEA (an Infrastructure for DEtection-based Adaptive consistency control), a protocol that adaptively controls consistency in replicated services by detecting inconsistency among nodes in a timely manner via an inconsistency detection framework and resolving the detected inconsistencies efficiently when necessary. Through experimentation on Planet-Lab, IDEA is evaluated from two aspects: its adaptive interface and its performance of inconsistency resolution. Results show that IDEA achieves adaptability by adjusting the consistency level according to users. preference on-demand, and it achieves low inconsistency resolution delay and incurs minimal communication cost."}]