CONTINUOUS SKYLINE QUERIES BASED ON MAPREDUCE

Continuous Skyline Queries Based on MapReduce

Continuous Skyline Queries Based on MapReduce

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With the development of Web and wireless sensor networks, the appearance of big data has brought a great challenge to data query and process.The parallel dv1433-010 Skyline computing issue of a moving query object under the MapReduce framework was studied.To solve the problem of load balance, a method based on angle partition was adopted.

Then a filtering method was introduced to improve the efficiency.On the basis of those methods, a static Skyline algorithm and an event tracking algorithm named MR-Track were implemented respectively.Finally, many 2023 volkl revolt 104 experiments were made to verify the effective and efficient of MR-Track algorithm.

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