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Concision represents information in its lowest information state and is the lowest possible amount of information which will fully represent observed information. In the case of cloud computing that information may be spatial, i.e. as files, or temporal, the process of serving files in time.
This presentation examines one aspect of information, concision, and what it means beyond our current understandings of data compression or process caching. Examples are given in social and technological contexts which serve to illustrate the historical advantages, and pitfalls, of information concision. After discussing these examples, information concision is applied to the web within the context of the evolving nature of the cloud. Some cloud applications of information concision are touched upon and how they may reduce operating costs, increase server capacities, cloud service levels, and server security.
Raymond Shpeley is a recent BSc of Computing Science major graduate of the University of Alberta, Augustana Faculty, with a minor in Philosophy. He is a mature student who intends to complete his doctorate in Quantum Information Science. The question of information, and its possible properties, is one of his recurring interests.