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

fYear

2011

fDate

7-9 Dec. 2011

Firstpage

976

Lastpage

981

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;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Tainan

ISSN

1521-9097

Print_ISBN

978-1-4577-1875-5

Type

conf

DOI

10.1109/ICPADS.2011.134

Filename

6121390