Multi-agent based user access patterned optimal content allocation method for federated video digital libraries

Digital Libraries are emerging technologies for content management. These contents include multi-media objects, video-objects etc. On account of storage and bandwidth costs, the content storage and delivery are the major problems. It is necessary to formulate a new method by taking into account all aspects of multimedia and video-on-demand content management. This paper describes a new method called multi-agent based user access pattern oriented optimal content allocation method for digital libraries and is concerned with various behavioural pattern of the digital library system. The content access pattern not only varies based on regional interest, subject interest, cultural interest etc. but also this pattern varies over time because of the movement of various user communities. Intelligent multi-agent based system design for dynamic content allocation has been proved as the cost-effective method when contrasted with other mathematical models for content allocation.