Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study the problem of indexing multidimensional data in the P2P networks based on distributed hash tables (DHTs).  identify several design issues and propose a novel over-DHT indexing scheme called m- LIGHT. To preserve data locality, m-LIGHT employs a clever naming mechanism that gracefully maps the index tree into the underlying DHT so that it achieves efficient index maintenance and query processing. Moreover, m- LIGHT leverages a new data-aware index splitting strategy to achieve optimal load balance among peer nodes.  conduct an extensive performance evaluation for m-LIGHT. Compared to the state-of-the-art indexing schemes, m- LIGHT substantially saves the index maintenance overhead, achieves a more balanced load distribution, and improves the range query performance in both bandwidth consumption and response latency.
['Yuzhe Tang', 'Jianliang Xu', 'Shuigeng Zhou', 'Wang-Chien Lee']
I am writing a research paper on a idea m-LIGHT: Indexing Multi-Dimensional Data over DHTs
[{"from": "human", "value": "I am writing a research paper on a idea m-LIGHT: Indexing Multi-Dimensional Data over DHTs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study the problem of indexing multidimensional data in the P2P networks based on distributed hash tables (DHTs).  identify several design issues and propose a novel over-DHT indexing scheme called m- LIGHT. To preserve data locality, m-LIGHT employs a clever naming mechanism that gracefully maps the index tree into the underlying DHT so that it achieves efficient index maintenance and query processing. Moreover, m- LIGHT leverages a new data-aware index splitting strategy to achieve optimal load balance among peer nodes.  conduct an extensive performance evaluation for m-LIGHT. Compared to the state-of-the-art indexing schemes, m- LIGHT substantially saves the index maintenance overhead, achieves a more balanced load distribution, and improves the range query performance in both bandwidth consumption and response latency."}]