By Topic

Adaptive bus model for distributed multimedia stream in mobile computing environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Wonjong Noh ; Dept. of Electron. Eng., Korea Univ., Seoul, South Korea ; Sangkyung Kim ; Dongho Kim ; Youngsik Ma
more authors

The main concern of this research is to design an adaptive bus model supporting distributed multimedia computing effectively in wireless or mobile networks. Key features of the model are as follows: first, the bus model has an ability, to control the binding at various levels explicitly. In addition to typical explicit binding characteristics, it has made possible a more flexible bus configuration from the application level to the transport level by hierarchical explicit binding control and controllable visibility of explicitness for security and integrity of computing. It enables the bus to adapt more flexibly in response to fluctuation of the environments. Second, the bus model has two-layer meta-object protocols (MOP), which are the component layer MOP and binding layer MOP, for implementation of adaptation. The component MOP plays the roles of inspecting and manipulating each component in the function and resource aspect. The binding MOP plays the roles of inspecting and manipulating each binding in the topology, access and flow aspect. Its architecture makes possible adaptations in integrity. Third, the bus model makes adaptations based on profiles, which is some collected information from the user, host and networks. The profile-based adaptation has made possible self-adaptation to some degree at each level and some prediction on usage pattern or resources

Published in:

Information Networking, 2001. Proceedings. 15th International Conference on

Date of Conference: