Issues of Scale - BE

HyperScale

In computing, hyperscale is the ability of an architecture to scale appropriately and quickly in a cost-effective manner as increased demand is added to the system. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Facebook, Google, Microsoft, Azure or Amazon AWS.

End of forgetting

Jeffrey Rosen - "The Web means the end of forgetting". In modern society the scale and broadness of the web means the complete forgetting of anything is impossible. Record of every significant or even insignificant event is forever stored even when deleted by its creator. A great example of a place where documentation is vast is the Google owned website Youtube.

Practical Obscurity

What is it? Even if information is out their publicly the linking together of information, adds a level of abuse of privacy. If connecting the data means people suffer a loss of privacy. This means it’s a violation of privacy gathering the information in a dossier (profile). The principle is that the private information in public records is effectively protected from disclosure as the result of practical barriers to access, hwoever it will be available if its on the internet.