臺灣博碩士論文加值系統

網際網路(Internet)使用者日益見多， 網路伺服器(Server)的工作負擔也隨之增加，每台網路伺服器所需要服務的潛在客戶(Client)數目隨時有可能快速而且大量的上昇，目前某些熱門網站的伺服器甚至同時得服務上萬個由客戶端送來的需求(Request)。
這種快速上昇的工作負擔已經不是單一的伺服器所能夠負荷的，要解決這樣的問題可以使用網際網路協定層的負載平衡技術(IP Load Balancing technique)，這是一個將客戶端的需求給分派到多台伺服器來達到工作平均分擔的技術，但是在某些應用上使用這樣的技術卻會發生問題，主要的原因來自於IP Load Balancing techniques無法根據封包(package)的內容來挑選適當的網路伺服器。
在網路上的某些應用需要維護與客戶端相關的資料才能使得所提供服務的功能正確運行，這些應用可以使用資料庫(Database)解決維護資料的問題，但是卻會使得效率變差，本論文所提出的方法Session Group可以解決維護資料的問題，並且仍然提供有效率的服務，藉由使用Session Group，有許多利點，包括擴充性(Scalability)、有效性(Availability)、效率(Efficiency)、一致性(Consistency)以及記憶體需求較低等。

With the explosive growth of the Internet users, Internet servers must cope with the increasing demands. The potential number of clients that a server must support has dramatically increased, and some hot sites have already received hundreds of thousands of simultaneous client connections.
A single server is usually not sufficient to handle this aggressively increasing load. Internet Protocol (IP) load balancing techniques are one of the solutions. They are software tools that directs network connections to multiple servers that share workload. But, there are several problems in many applications that use IP load balancing techniques. IP load balancing techniques cannot do content-based scheduling to different servers.
There are many applications that need to maintain session data for functional reasons. Using database is one of many solutions to solve this problem, but it pulled down the performance. In this thesis, we introduce a method, Session Group, which solve the problem, and still provide users with efficient services. By taking advantage of Session Group, there are many benefits can be easily achieved. These benefits include scalability, availability, efficiency, consistency, and less memory requirement.

CHAPTER 1 REVIEW
1.1RECENT ISSUES OF INTERNET SERVERS
1.2RECENT INTERNET APPLICATIONS
1.2.1Multiplayer Network Game
1.2.2Web-Based Applications
1.3HTTP PROTOCOL
CHAPTER 2 IP LOAD BALANCING TECHNIQUES
2.1LINUX VIRTUAL SERVER
2.2INCONSISTENT PROBLEM
2.3USING DATABASE
CHAPTER 3 THREE DIFFERENT DESIGNS
3.1REQUIREMENT
3.2ENVIRONMENT
3.3INDEPENDENT REAL SERVERS
3.3.1Communication Cost of Independent Real Servers
3.3.2Memory Cost of Independent Real Servers
3.4FULLY DEPENDENT REAL SERVERS
3.4.1Communication Cost of Fully Dependent Real Servers
3.4.2Memory Cost of Fully Dependent Real Servers
3.5SESSION GROUP
3.5.1Communication Cost of Session Group
3.5.2Memory Cost of Session Group
3.6COMPARISON
CHAPTER 4 DESIGN OF SESSION GROUP
4.1SYSTEM ARCHITECTURE OVERVIEW
4.2ARBITER
4.3SESSION MANAGER
4.3.1Three Tables
4.3.2Three Interfaces
CHAPTER 5 CONCLUSION
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