How global server load balancing technology ensure information services availability – A case study for M company

碩士 === 國立交通大學 === 管理學院資訊管理學程 === 102 === Due to M company's rising business volume, quality of information access service becomes highly sensitive to bandwidth bottlenecks and congestion. Therefore, scalability, high availability, and accelerated performance of the information system become cri...

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Bibliographic Details
Main Authors: Hu,Kai-Hsuan, 胡凱軒
Other Authors: Yang, Chyan
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/d96ryb
Description
Summary:碩士 === 國立交通大學 === 管理學院資訊管理學程 === 102 === Due to M company's rising business volume, quality of information access service becomes highly sensitive to bandwidth bottlenecks and congestion. Therefore, scalability, high availability, and accelerated performance of the information system become critical to the success of company's global business. Centralized information system architecture represents big challenges to a global enterprise like M Company which must serve localized content to users in different parts of the world. This kind of architecture often exists a single point failure. If a site loses connectivity to the Internet, it will be inaccessible to users which prompt to significant impact to the business. Global Service Load Balance (GSLB) conquers these problems by intelligently distributing traffic to different geographic locations in the Internet. Users can be automatically directed to the nearest or least loaded servers if network bandwidth bottlenecks have occurred. By excising the in-depth interview and participant observation, it has come to my conclusion that the practice of deploying the cost effective, high performance load balancing and traffic management solution in M Company has proven to be a successful text-book model in Taiwan. The case study illustrates methodologies and know-how's of network infrastructure architecture layout, application program design, and data synchronization model which support a high level of availability, redundancy, and fault tolerance. The model can serve as a best practice reference to enterprises which are looking for solving their existing data inquiry issues and building their next generation load balancing and traffic management solutions.