Dissertation > Excellent graduate degree dissertation topics show

Research on the Technology of Load Balancing on Server Cluster

Author: ZuoJuanJuan
Tutor: ChenHui
School: Wuhan University of Technology
Course: Applied Computer Technology
Keywords: Server clusters Genetic Algorithms Load Balancing
CLC: TP393.03
Type: Master's thesis
Year: 2008
Downloads: 255
Quote: 6
Read: Download Dissertation

Abstract


With the development of the Internet , because some servers are often in a very short period of time due to access thousands of applications and overwhelmed. How to perform the same function in multiple network devices to achieve a reasonable distribution of the volume of business , so avoid the emergence of a piece of equipment and other equipment has not been too busy processing capabilities into full play the situation has become a problem , the server cluster load balancing mechanism had begun . For server load balancing cluster technology, load balancing scheduling algorithm is the core. In adaptive load balancing algorithm , usually are obtained using periodic load on the server , which means to do load balancing decisions , the load values ??do not represent a member of the current load , but the last load. In a short period of time if there are many clients links, the load value is updated , the server of the actual load is increased dramatically . To solve these problems , this paper proposes a genetic algorithm based adaptive load balancing optimization algorithm , the server selection and allocation system, taking into account not only the past and present performance, but also in the pre-assigned task of concurrent requests before the system for future load estimation . This paper mainly from the following aspects were studied: First, the reference model for the current network level load balancing server cluster technology was classified , described in detail for each load-balancing method works , comparative analysis of the advantages of the various methods disadvantages and adaptation ; followed by in-depth study of the load balancing algorithm used to draw a flow chart of each algorithm , pointing out its features and limitations. From start to improve load balancing mathematical model is proposed based on genetic algorithm optimization of adaptive load balancing algorithms, and algorithms for improved analysis and simulation demo ; finally designed a windows based platform load balancing system for improved algorithm proved and the experimental results with the other traditional algorithms for analysis and comparison .

Related Dissertations

  1. Research on Parallel Frequent Graph Pattern Mining,TP311.13
  2. Remote sensing data processing grid platform design and initial implementation,TP79
  3. Educational Administration System Optimization Study Online Course,TP393.09
  4. The Application of Linux Cluster System Based on the Load Balancing Algorithm in Webgis,TP393.05
  5. Research on the Marshalling-scheduling Model and Algorithms of Freight Trains Based on Game Theory,O225
  6. Research and Implementation of job scheduling algorithm in the Linux cluster environment,TP301.6
  7. Research on Self-Organizing Networks in LTE-A Heterogeneous Networks,TN929.5
  8. Selection Algorithm in Heterogeneous Network Based on An Economic Model,TN929.5
  9. The Research on Routing Protocols and Related Technology of Wireless Mesh Network Based on QoS,TN929.5
  10. Research and Implementation of Key Techniques of Building Distributed System,TP338.8
  11. Research and Design of Virtual Research Center System of Yalong River Based on S2SH,TP311.52
  12. Research of Hybrid Application Layer Multicast Model Based on Load-balance,TP393.02
  13. In-furnace Temperature Information Included Combustion Optimization of a Utility Boiler,TK227.1
  14. Streaming Media Server System Based on Network Storage,TN919.8
  15. Research on Routing Protocols of Wireless Sensor Networks,TP212.9
  16. The Design and Implementation of a Network-Based Distribute Storage System,TP333
  17. Research of a Medium and Long-term Load Forecasting Method,TM715
  18. Based on logical hierarchical storage system design and implementation,TP333
  19. Virtual environment multiple network interface card I / O Scheduling System,TP334.7
  20. RFID data cleaning treatment strategies and algorithms,TP391.44
  21. Based on distributed real-time database transaction scheduling policy Research and Improvement,TP311.13

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Network interconnect technology
© 2012 www.DissertationTopic.Net  Mobile