A scalable and self-adapting notification framework for healthcare information systems |
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Authors: | Anthony E Okorodudu Leonidas Fegaras David Levine |
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Affiliation: | (1) University of Texas at Arlington, CSE, 416 Yates Street, Arlington, TX 76019, USA |
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Abstract: | There has been a great interest in publish/subscribe systems in recent years. This interest, coupled with the pervasiveness
of light-weight electronic devices, such as cellular phones and personal digital assistants, has opened a new arena in publish/subscribe
networks. Currently, many broker overlay networks are static and rarely change in structure. Often, a network overlay structure
is predefined or manually modified. This paper presents a dynamic broker network for disseminating critical lab and patient
information in a Healthcare information system. The reported work builds upon previous network optimization research on ad
hoc publish/subscribe networks. The underlying framework utilizes user-defined cost functions to satisfy quality of service
constraints. In essence, the broker network optimization problem is reduced to an incremental search problem to generate low
cost network configurations. Certain reliability issues are also addressed by providing a scheduling algorithm to selectively
retransmit information and handle broker connectivity failures. |
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