Smoke & Mirrors

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Project

The aim of the project is to research how to carry out rapid resource allocation (digital goods and services) subject to business rules, in order to balance constraints such as time to delivery, quality of product, load-balancing and external factors.

More specifically, the issues are how to:

  • organize, store and retrieve broadcaster format specifications and media delivery methods
  • optimize the scheduling of hardware, personnel, and software to maximize business objectives
  • automate third party tools (trans-coding, conversion, down/up sampling packages)
  • manage media assets and meta data
  • store and manage personnel information
  • store and retrieve additional company information
  • discover and evaluate changes to the rules governing business processes

It is expected the work will involve research into (at least) intelligent agents, workflow management, optimization, planning/reasoning under uncertainty, resource-oriented architecture and semantic web technologies.