1. Making Magic Happen: Predicting User Behavior in AJAX applications Jonathan Boutelle Uzanto Consulting
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5. HTML Server Http request Initial Html User action Html (with data embedded) Dbase Vanilla Web App (circa 2000) User action Html (with data embedded) …
6. HTML Http request Initial Html User action Html (with data embedded) Vanilla Web App (circa 2000) User action Html (with data embedded) … Server Dbase
7. Rich Internet App (circa 2003) Http request for app App (lActionScript and Flash) downloads User action that requires data Data UI Client Manager Server Dbase
8. Rich Internet App (circa 2004) Http request for app App (Flash and ActionScript) downloads User action that requires data Optionally preload data UI Client Manager Server Dbase
9. Ajax Application (circa 2005) Http request for app App (HTML + Javascript) downloads User action that requires data Always preload data UI Client Manager Server Dbase
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16. Value vs. Cost Odds the data wll be used 100% 0% value cost
20. value cost Odds content will be requested Importance of low latency
Hinweis der Redaktion
I’d like to start by thanking Jesse and Rail for putting this meeting together. The momentum that has built up since Jesse coined the term AJAX less than two months ago has been really remarkable, and I think it’s really valuable to get us all in the same room so that we can hammer out what it all means, and where things are going from here..