User Distributions in multiple-server platform with the consideration of User balancing and memory reusability.
| Autor: | Ming-Te Lin, 林明德 |
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| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 100 Due to the rapid growth of internet in popularity and size, internet traffics have increased significantly. In order to fulfill the vast web service demands, more and more application servers need to be hosted simultaneously. However, without utilizing load balance effectively, the use of multiple sever hosting will not only reduce the quality of services but also decrease the utilization of system. Therefore, how to allocate limited resources in order to optimize the performance of the system becomes a major concern for companies. The first objective of this paper is to clarify the characteristics of each end user in the system according to their historical logging data, such as user’s transaction data and the system resources consume by this transaction. We used SAP system as our research platform and the data sets were extracted from National Central University’s SAP systems. Detail of the framework and the procedure of this research are illustrated in Chapter 3. The second objective of this paper is to improve the POCA（Profile Oriented Clustering Algorithm）by applying LAPO（Load Adjusted Profile Oriented User Allocation Algorithm）. LAPO can monitor and control the number of users in each application servers more effectively than POCA which enable LAPO to reduce huge amount of calculation time. As such, LAPO make distribution of users much more evenly and efficiency which also can help multiple server systems to achieve better load balancing. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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