Corruption in the health sector has been a “dirty secret” in the health policy and international development community, but recent global activities point to a day when it will no longer be neglected as a key determinant of health. To further explore next steps forward, this commentary applies the Kingdon’s multiple-streams framework (MSF) to assess what opportunities are available to mobilize ...

We present a framework for stream data processing that incorporates a stream database server as a fundamental component. The server operates as the stream control interface between arrays of distributed data stream sources and end-user clients that access and analyze the streams. The underlying framework provides novel stream management and query processing mechanisms to support the online acqu...

Broadcasting popular media to clients is the ultimate scalable solution for media-ondemand. The simple solution of downloading and viewing the medium from one channel cannot guarantee a reasonable startup delay for viewing with no interruptions. Two known techniques to reduce the delay are pre-loading and pre-buffering. In the former an initial segment of the medium is already in the client buf...

We consider the problem of distributed packet selection and scheduling for multiple video streams sharing a communication channel. An optimization framework is proposed, which enables the multiple senders to coordinate their packet transmission schedules, such that the average quality over all video clients is maximized. The framework relies on rate-distortion information that is used to charac...

In this paper, the authors present a framework to support multidimensional analysis of real-time physiological data streams and clinical data. The clinical context for the case study demonstration is neonatal intensive care, focusing specifically on the detection of episodes of central apnoea, a clinically significant problem. The model accounts for the multidimensional and real-time nature of ...

The emergence of dynamic information sources – including sensor networks – has led to large streams of real-time data on the Web. Research studies suggest, these dynamic networks have created more data in the last three years than in the entire history of civilization, and this trend will only increase in the coming years [1]. With this coming data explosion, real-time analytics software must e...