Online shopping (user to online buying)

 

Sample sites include typical retail sites where users buy books, clothes, or even cars. Site content can be relatively static, such as a parts catalog, or dynamic, where items are frequently added and deleted, such as for promotions and special discounts that come and go. Search traffic is heavier than on a publish/subscribe site, although the number of unique items sought is not as large. Data volatility is low. Transaction traffic is moderate to high, and almost always grows.

When users buy, security requirements become significant and include privacy, non-repudiation, integrity, authentication, and regulations. Shopping sites have more connections to legacy systems, such as fulfillment systems, than publish/subscribe sites, but generally less than the other site types. This is detailed inTable 2-2.

Table 2-2
Workload pattern Online shopping
Categories/examples
Exact inventory
Inexact inventory
Content
Catalog either flat (parts catalog) or dynamic (items change frequently, near real time)
Few page authors and page layout changes less frequently
User-specific information: user profiles with data mining
Security
Privacy
Non-repudiation
Integrity
Authentication
Regulations
Percent secure pages Medium
Cross-session info High
Searches
Structured by category
Totally dynamic
High volume
Unique items Low to medium
Data volatility Low
Volume of transactions Moderate to high
Legacy integration/ complexity Medium
Page views Moderate to high

Online shopping site workload pattern

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