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A framework of auto-adapting distributed object for mobile computing

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Abstract

The low bandwidth hinders the development of mobile computing. Besides providing relatively higher bandwidth on communication layer, constructing adaptable upper application is important. In this paper, a framework of auto-adapting distributed object is proposed, and evaluating methods of object performance are given as well. Distributed objects can adjust their behaviors automatically in the framework and keep in relatively good performance to serve requests of remote applications. It is an efficient way to implement the performance transparency for mobile clients.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Novel Software Technology, Nanjing University, 210093, Nanjing, P.R. China

    Wang Chen & Zhang Defu

  2. Department of Information System, National University of Singapore, 119260, Singapore

    Zhou Ying

Authors
  1. Wang Chen
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  2. Zhou Ying
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  3. Zhang Defu
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Additional information

This work is supported by the National Hi-Tech Development Program of China (863-306).

Wang Chen is currently a Ph.D. candidate in Nanjing University. He received his M.Eng. in 1996 and B.Sc. in 1993 from Department of Computer Science, Nanjing University. His research interests include distributed object technology, parallel computing and distributed systems.

Zhou Ying is currently a Ph.D. candidate in School of Computing, National University of Singapore. She received her M.Eng. in 1997 and B.Sc. in 1994 from Department of Computer Science, Nanjing University. Her research fields include Internet computing, distributed object technology.

Zhang Defu is a Professor in Department of Computer Science, Nanjing University. His research interests include parallel algorithm and distributed systems.

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Wang, C., Zhou, Y. & Zhang, D. A framework of auto-adapting distributed object for mobile computing. J. Comput. Sci. & Technol. 14, 590–598 (1999). https://doi.org/10.1007/BF02951880

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  • DOI: https://doi.org/10.1007/BF02951880

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