Predicting Network Response Times Using Social Information
Source: George Mason University
Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are usually well-provisioned, the participating users frequently point to external links to substantiate their discussions. Unfortunately, the sudden heavy traffic load imposed on the external, linked web sites causes them to become unresponsive leading to what people call the "Flash Crowds" effect. Flash Crowds present a real challenge, as it is not possible to predict their intensity and occurrence time.