Preliminary Performance Testing of Geo-spatial Image Parallel Processing in the Mobile Cloud Computing Service

모바일 클라우드 컴퓨팅 서비스를 위한 위성영상 병렬 정보처리 성능 예비실험

  • Kang, Sang-Goo (Dept. of Information Systems Engineering, Hansung University) ;
  • Lee, Ki-Won (Dept. of Information Systems Engineering, Hansung University) ;
  • Kim, Yong-Seung (Satellite Information Research Center, Korea Aerospace Research Institute)
  • 강상구 (한성대학교 정보시스템공학과) ;
  • 이기원 (한성대학교 정보시스템공학과) ;
  • 김용승 (한국항공우주연구원 위성정보연구센터)
  • Received : 2012.07.18
  • Accepted : 2012.08.23
  • Published : 2012.08.31


Cloud computing services are known that they have many advantages from the point of view in economic saving, scalability, security, sharing and accessibility. So their applications are extending from simple office systems to the expert system for scientific computing. However, research or computing technology development in the geo-spatial fields including remote sensing applications are the beginning stage. In this work, the previously implemented smartphone app for image processing was first migrated to mobile cloud computing linked to Amazon web services. As well, parallel programming was applied for improving operation performance. Industrial needs and technology development cases in terms of mobile cloud computing services are being increased. Thus, a performance testing on a satellite image processing module was carried out as the main purpose of this study. Types of implementation or services for mobile cloud varies. As the result of this testing study in a given condition, the performance of cloud computing server was higher than that of the single server without cloud service. This work is a preliminary case study for the further linkage approach for mobile cloud and satellite image processing.


Supported by : 한국항공우주연구원


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