WEB 320 WEB320 Week 3 Case Study (DeVry University)

WEB 320 WEB320 Week 3 Case Study (DeVry University)



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DeVry WEB 320 Week 3 Case Study (ESPN)
1. How many requests from users does ESPN receive each second? Do you think this is a consistent pattern or does it have peaks and valleys? When does it peak?
2. Why does ESPN store personal information and preferences on its databases and how does this personal information complicate the ability of ESPN to respond to requests from users? Why can’t ESPN just use Web page caching to handle the loads?
3. How much information on users does ESPN store? Why does this pose a challenge for ESPN? Can’t they just use a standard 1 terabyte hard drive from a PC? Why can’t they use a single PC?
4. What platforms do ESPN customers use when access their Web sites, and how does this further complicate ESPN’s processing picture?
5. What are the key components in ESPN’s solution? Describe the function of each.
6. Why is scalability so important to ESPN?

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