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Support for user-centric modular real-time resource management in the Rialto operating system

  • Session II: Operating Systems Support
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Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1018))

Abstract

This paper describes ongoing investigations into algorithms for user-centric modular distributed real-time resource management. These investigations are being conducted in the context of the Rialto operating system — an object-based real-time kernel and programming environment currently being developed within Microsoft Research.

A primary goal of this research is to develop appropriate real-time programming abstractions to allow multiple independent real-time programs to dynamically coexist and share resources on the same hardware platforms. Use of these abstractions is intended both to allow individual applications to reason about their own resource requirements and for per-machine system resource planner applications to reason about and control resource allocations between potentially competing applications. The set of resources being managed is dynamically extensible, and may include remote resources in distributed environments. The local planner conducts resource negotiations with individual applications on behalf of the user, with the goal of maximizing the user's perceived utility of the set of running applications with respect to resource allocations for those applications.

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Thomas D. C. Little Riccardo Gusella

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© 1995 Springer-Verlag Berlin Heidelberg

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Jones, M.B., Leach, P.J., Draves, R.P., Barrera, J.S. (1995). Support for user-centric modular real-time resource management in the Rialto operating system. In: Little, T.D.C., Gusella, R. (eds) Network and Operating Systems Support for Digital Audio and Video. NOSSDAV 1995. Lecture Notes in Computer Science, vol 1018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0019251

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  • DOI: https://doi.org/10.1007/BFb0019251

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60647-5

  • Online ISBN: 978-3-540-48524-7

  • eBook Packages: Springer Book Archive

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