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Task Scheduling of Massive Spatial Data Processing across Distributed Data Centers: What's New?

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5 Author(s)
Weijing Song ; Center for Earth Obs. & Digital Earth, Beijing, China ; Shasha Yue ; Lizhe Wang ; Wanfeng Zhang
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Spatial data processing in general involves large-scale distributed computing resources across multiple data centers and distributed massive data sets. Task scheduling of spatial data processing across distributed data centers brings new research issues and calls for novel scheduling mechanisms and frameworks. This paper analyzes the features of spatial data processing, identifies the research issues of task scheduling in massive spatial data processing, and proposes task model & scheduling mechanisms for task scheduling in spatial data processing.

Published in:

Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on

Date of Conference:

7-9 Dec. 2011