NDLI: Multi-user mass satellite image collaborative scheduling scheme research

Content Provider	IEEE Xplore Digital Library
Author	Lei Liu Lin Li Xiao-ping Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China (Lei Liu; Lin Li; Xiao-ping Liu)
Abstract	With the ascension of computer processing capacity, the problems of massive satellite images presentation encountered in the rendering frame rate, large data scheduling, external memory organization has been basically solved, Google earth put forward one multi-user solution dependent on the powerful cluster rendering technology and collaborative network transmission technology. However, in the limited resources of the stand-alone system, the display of multi-user collaborative data become another challenge. This paper proposed a collaborative scheduling scheme for multi-user scheduling problem of satellite image data in the stand-alone mode, in the fully enhance the system resource utilization condition, balanced user's average experience and data throughput condition. Finally, in the prototype system, we verify its validity and analyze its efficiency and interactivity though the user's experience way.
Starting Page	121
Ending Page	126
File Size	313676
Page Count	6
File Format	PDF
ISBN	9781467360845
e-ISBN	9781467360852
DOI	10.1109/CSCWD.2013.6580950
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Dynamic scheduling Prefetching Rendering (computer graphics) Scheduling algorithms Collaboration mass satellite image cscwd multi-user collaborative scheduling alrorithm
Content Type	Text
Resource Type	Article

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