Distributed Scalable Location Data Management System Based on the GALIS Architecture

  • Authors:

  • Yunmook Nah;Joonwoo Lee;Woon Joo Lee;Ho Lee;Moon Hae Kim;Ki-Joon Han

  • Affiliations:

  • Dankook University, Seoul, Korea;Dankook University, Seoul, Korea;Dankook University, Seoul, Korea;Dankook University, Seoul, Korea;Konkuk University, Seoul, Korea;Konkuk University, Seoul, Korea

  • Venue:
  • WORDS '05 Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable Systems
  • Year:
  • 2005

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Abstract

A challenging task in the LBS system engineering is to implement a highly scalable system architecture which can manage moderate-size configurations handling thousands of moving items as well as upper-end configurations handling millions of moving items. The architecture named the GALIS is a cluster-based distributed computing system architecture that consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone. In this paper, we explain a prototype location data management system structuring major components of GALIS by employing the TMO programming scheme, including the execution engine middleware developed to support real-time distributed object programming and real-time distributed computing system design. We present how to generate realistic location sensing reports and how to process such location reports and location-related queries. Some experimental results showing performance factors regarding distributed query processing are also explained.