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Autonomous resource-aware scheduling of large-scale media workflows

Stein Desmet (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)
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Abstract
The media processing and distribution industry generally requires considerable resources to be able to execute the various tasks and workflows that constitute their business processes. The latter processes are often tied to critical constraints such as strict deadlines. A key issue herein is how to efficiently use the available computational, storage and network resources to be able to cope with the high work load. Optimizing resource usage is not only vital to scalability, but also to the level of QoS (e.g. responsiveness or prioritization) that can be provided. We designed an autonomous platform for scheduling and workflow-to-resource assignment, taking into account the different requirements and constraints. This paper presents the workflow scheduling algorithms, which consider the state and characteristics of the resources (computational, network and storage). The performance of these algorithms is presented in detail in the context of a European media processing and distribution use-case.

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Chicago
Desmet, Stein, Bruno Volckaert, and Filip De Turck. 2010. “Autonomous Resource-aware Scheduling of Large-scale Media Workflows.” In Lecture Notes in Computer Science, ed. Burkhard Stiller and Filip De Turck, 6155:50–64. Berlin, Germany: Springer.
APA
Desmet, Stein, Volckaert, B., & De Turck, F. (2010). Autonomous resource-aware scheduling of large-scale media workflows. In B. Stiller & F. De Turck (Eds.), Lecture Notes in Computer Science (Vol. 6155, pp. 50–64). Presented at the 4th International conference on Autonomous Infrastructure, Management and Security (AIMS 2010), Berlin, Germany: Springer.
Vancouver
1.
Desmet S, Volckaert B, De Turck F. Autonomous resource-aware scheduling of large-scale media workflows. In: Stiller B, De Turck F, editors. Lecture Notes in Computer Science. Berlin, Germany: Springer; 2010. p. 50–64.
MLA
Desmet, Stein, Bruno Volckaert, and Filip De Turck. “Autonomous Resource-aware Scheduling of Large-scale Media Workflows.” Lecture Notes in Computer Science. Ed. Burkhard Stiller & Filip De Turck. Vol. 6155. Berlin, Germany: Springer, 2010. 50–64. Print.
@inproceedings{1001402,
  abstract     = {The media processing and distribution industry generally requires considerable resources to be able to execute the various tasks and workflows that constitute their business processes. The latter processes are often tied to critical constraints such as strict deadlines. A key issue herein is how to efficiently use the available computational, storage and network resources to be able to cope with the high work load. Optimizing resource usage is not only vital to scalability, but also to the level of QoS (e.g. responsiveness or prioritization) that can be provided. We designed an autonomous platform for scheduling and workflow-to-resource assignment, taking into account the different requirements and constraints. This paper presents the workflow scheduling algorithms, which consider the state and characteristics of the resources (computational, network and storage). The performance of these algorithms is presented in detail in the context of a European media processing and distribution use-case.},
  author       = {Desmet, Stein and Volckaert, Bruno and De Turck, Filip},
  booktitle    = {Lecture Notes in Computer Science},
  editor       = {Stiller, Burkhard and De Turck, Filip},
  isbn         = {9783642139857},
  issn         = {0302-9743},
  language     = {eng},
  location     = {Z{\"u}rich, Switzerland},
  pages        = {50--64},
  publisher    = {Springer},
  title        = {Autonomous resource-aware scheduling of large-scale media workflows},
  url          = {http://dx.doi.org/10.1007/978-3-642-13986-4\_6},
  volume       = {6155},
  year         = {2010},
}

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