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Distributed Indexing Methods for Moving Objects based on Spark Stream

Lee, Yunsou;Song, Seokil

  • Received : 2015.03.09
  • Accepted : 2015.03.25
  • Published : 2015.03.28

Abstract

Generally, existing parallel main-memory spatial index structures to avoid the trade-off between query freshness and CPU cost uses light-weight locking techniques. However, still, the lock based methods have some limits such as thrashing which is a well-known problem in lock based methods. In this paper, we propose a distributed index structure for moving objects exploiting the parallelism in multiple machines. The proposed index is a lock free multi-version concurrency technique based on the D-Stream model of Spark Stream. The proposed method exploits the multiversion nature of D-Stream of Spark Streaming.

Keywords

Moving Objects;Spark;Steaming;Index

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Acknowledgement

Supported by : National Research Foundation of Korea (NRF)