Title :
Task Scheduling of Massive Spatial Data Processing across Distributed Data Centers: What´s New?
Author :
Song, Weijing ; Yue, Shasha ; Wang, Lizhe ; Zhang, Wanfeng ; Liu, Dingsheng
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
Abstract :
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.
Keywords :
computer centres; scheduling; visual databases; distributed data center; distributed massive data set; large-scale distributed computing resource; massive spatial data processing; scheduling framework; scheduling mechanism; task scheduling; Computational modeling; Data models; Data processing; Distributed databases; Processor scheduling; Scheduling; Spatial databases; Massive data processing; spatial data infrastructure; task scheduling;
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1875-5
DOI :
10.1109/ICPADS.2011.134
