User distributions in n-tier platform with effective memory reusability

Yu Cheng Chuang, Pingyu Hsu, Mintzu Wang, Ming Te Lin, Ming Shien Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Due to the vigorous development of the network, a variety of application software has been widely used. In order to serve more users, it is necessary to build middleware servers (Application Servers). If the middleware server was overloaded, it will result in poor performance. Besides, it is simply waste of resources if loading was idle. So the server with or without load balancing becomes an important issue. The proposed LAPO algorithm in this paper can dynamically allocate each middleware server for each user. And firstly, it improves the POCA algorithm that spends a lot of computation time to determine the optimal combination of solutions. Secondly, it can uniformly distribute each user on the servers; and finally, propose the model for best combination of load balancing solution. By using the SAP ERP ECC 6.0 for implementation, this study can verify that the LAPO is not only more efficient in computation time than POCA, but also more in line with the actual situation of the enterprises use. Moreover, we comment the results of experiments and some limitations.

Original languageEnglish
Title of host publicationMulti-Disciplinary Trends in Artificial Intelligence - 7th International Workshop, MIWAI 2013, Proceedings
Number of pages9
StatePublished - 2013
Event7th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2013 - Krabi, Thailand
Duration: 9 Dec 201311 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8271 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI 2013


  • Load Balancing
  • Performance Evaluation
  • Transaction
  • User Distribution


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