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Revenue creation for rate adaptive stream management in multi-tenancy environments

Bañares, José Ángel, Rana, Omer Farooq ORCID:, Tolosana-Calasanz, Rafael and Pham, Congduc 2013. Revenue creation for rate adaptive stream management in multi-tenancy environments. Presented at: GECON 2013: International Conference on the Economics of Grids, Clouds, Systems, and Services, Zaragoza, Spain, 18-20 September 2013. Published in: Altmann, Jorn, Vanmechelen, Kurt and Rana, Omer F. eds. Economics of Grids, Clouds, Systems, and Services: 10th International Conference, GECON 2013, Zaragoza, Spain, September 18-20, 2013. Proceedings. Lecture Notes in Computer Science. , vol.8193 Springer, pp. 122-137. 10.1007/978-3-319-02414-1_9

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With the increasing availability of streaming applications from mobile devices to dedicated sensors, understanding how such streaming content can be processed within some time threshold remains an important requirement. We investigate how a computational infrastructure responds to such streaming content based on the revenue per stream – taking account of the price paid to process each stream, the penalty per stream if the pre-agreed throughput rate is not met, and the cost of resource provisioning within the infrastructure. We use a token-bucket based rate adaptation strategy to limit the data injection rate of each data stream, along with the use of a shared token-bucket to enable better allocation of computational resource to each stream. We demonstrate how the shared token-bucket based approach can enhance the performance of a particular class of applications, whilst still maintaining a minimal quality of service for all streams entering the system.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer
ISBN: 9783319024134
ISSN: 0302-9743
Last Modified: 25 Oct 2022 08:02

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