Feedback-Control & Queueing Theory-Based Resource Management for Streaming Applications

Resource management for data streaming applications

Grid Resource Management and Scheduling for Data Streaming Applications 1001 GRID RESOURCE MANAGEMENT AND SCHEDULING FOR DATA STREAMING APPLICATIONS

Data streaming applications bring new challenges to resource management and scheduling for grid computing. Since real-time data streaming is required as data processing is going on, integrated grid resource management becomes essential among processing, storage and networking resources. Traditional scheduling approaches may not be sufficient for such applications, since usually only one aspect ...

Streaming Computational Science: Applications, Technology and Resource Management for HPC

Data streaming from on-line instruments, large scale simulations, and distributed sensors such as those found in transportation systems and urban environments point to the growing interest and important role of streaming data and related realtime steering and control. We define a stream to be a possibly unbounded sequence of events. Successive events may or may not be correlated and each event ...

Grid Resource Management and Scheduling for Data Streaming Applications

Data streaming applications bring new challenges to resource management and scheduling for grid computing. Since real-time data streaming is required as data processing is going on, integrated grid resource management becomes essential among processing, storage and networking resources. Traditional scheduling approaches may not be sufficient for such applications, since usually only one aspect ...

A static resource allocation framework for Grid-based streaming applications

Increasingly, a number of applications rely on, or can potentially benefit from, analysis and monitoring of data streams. To support processing of streaming data in a grid environment, we have been developing a middleware system called GATES (Grid-based AdapTive Execution on Streams). Our target applications are those involving high volume data streams and requiring distributed processing of da...