Paper Info
Title
Global workload characterization of a large scale satellite image distribution system
Abstract
Online content distribution systems, which store incredibly large amounts of information and provide service to large numbers of users, are becoming increasingly commonplace. To fulfill the wide range of requests sent by different users, these systems must ensure efficient handling of massive amount of data. To achieve this goal, the in-depth analysis and comprehensive understanding of user behaviors are critical. However, analyzing the behaviors of worldwide users with different needs is a very challenging task. This is especially true when historical user behaviors evolve over time or may be affected by unpredictable events. In this paper, we present a number of workload characterization techniques applied to one of the world's largest online satellite image distribution systems operated by the U.S. Geological Survey (USGS) and NASA.
Year
DOI
Venue
2012
10.1109/PCCC.2012.6407779
Performance Computing and Communications Conference
Keywords
Field
DocType
artificial satellites,geophysical image processing,NASA,National Aeronautics and Space Administration,US Geological Survey,United States,data handling,global workload characterization,large scale satellite image distribution system,online content distribution system,user behavior,clustering,content distribution system,geospatial data,geovisualization
Satellite,Computer science,Workload,Distribution system,Real-time computing,Geological survey,Satellite image
Conference
ISSN
ISBN
Citations 
1097-2641
978-1-4673-4881-2
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Brian Romoser1122.37
Ribel Fares2393.65
Peter Janovics320.72
Xiaojun Ruan439025.87
Xiao Qin51836125.69
Ziliang Zong664640.20