C. Poellabauer and K. Schwan, Kernel Support for the Event-based Cooperation of Distributed Resource Managers, in Proceedings of the 8th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2002. Home/Search Document Details and Download
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KStreams: Kernel Support for Efficient End-to-End Data Streaming - Kong, Schwan (2004) Self-citation (Schwan) (Correct)
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C. Poellabauer and K. Schwan, Kernel Support for the Event-based Cooperation of Distributed Resource Managers, In Proceedings of the 8th IEEE Real-Time and Embedded Technology and Applications Symposium, September 2002.
Service Morphing: Integrated System- and.. - Poellabauer.. (2003) (2 citations) Self-citation (Poellabauer Schwan) (Correct)
.... technologies to generate appropriate outcomes; self modification may entail coordination across multiple levels of abstraction, such as the middleware and network levels [5, 7] self modification is assisted by underlying platforms, including extension to existing operating system kernels [17, 19]. Service morphing is supported by three interacting components: 1. InfoFabric middleware platform. Flexibility in communication and processing is provided by a lightweight publish subscribe middleware: end users subscribe to information channels of interest to them whenever they desire, and they ....
....(or any other) communications. We are able to dynamically deploy handlers into operating system kernels, e.g. to control the monitoring and adaptation actions taken on behalf of applications [12] KECho has been used for the end to end control of interactive video across multiple machines [17], including managing their power consumption [18] and for the online monitoring of distributed resources for scientific applications [12] Finally, the compiler techniques used when dynamically specializing code, e.g. to match changes in power availability, are currently under development, in ....
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C. Poellabauer and K. Schwan. Kernel support for the event-based cooperation of distributed resource managers. In Proc. of the 8th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2002.
Cooperative Run-time Management of Adaptive.. - Poellabauer, Abbasi.. (2002) (4 citations) Self-citation (Poellabauer Schwan) (Correct)
....multiple distributed resource managers and an application s adaptations can be dynamically integrated into a single QoS control path. Integration is dynamic in that applications and resource managers can choose to join or leave such cooperations at any time. This is achieved by using Q channels [12] as the fabric s control infrastructure, which is a kernel level event service that follows the publish subscribe paradigm. With Q channels, applications and resources are managed via the exchange of monitoring and steering events. Specifically, resource managers exchange events within a host and ....
....manage the quality of service experienced by end users. Further, the Q fabric mechanism is implemented as a kernel level service, which enables QoS management at higher levels of predictability and performance than possible with the user level counterparts developed in our past work and elsewhere [7, 12, 14]. The remainder of this section describes the QoS management model used in our work. Event based communications. The Q fabric s operation is based on the exchange of events, which trigger the execution of some action (e.g. monitoring, adaptation, etc. Event exchange is anonymous, so that local ....
C. Poellabauer and K. Schwan. Kernel Support for the Event-based Cooperation of Distributed Resource Managers. In Proc. of the 8th IEEE Real-Time and Embedded Technology and Applications Symposium, September 2002.
A Survey of Kernel-Middleware Interaction in Support of.. - McKinley (2004) (Correct)
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C. Poellabauer and K. Schwan, Kernel Support for the Event-based Cooperation of Distributed Resource Managers, in Proceedings of the 8th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2002.
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