Revenue Models for Streaming Applications over Shared Clouds

Tolosana-Calasanz, Rafael, Banares, Jose Angel, Pham, Congduc and Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 2012. Revenue Models for Streaming Applications over Shared Clouds. Presented at: 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications (ISPA), Leganes, Spain, 10-13 July 2012. Published in: Abramson, D., Ludwig, T. and Garcia, J. D. eds. Proceedings: 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications (ISPA). Los Alamitos, CA: IEEE, pp. 460-465. 10.1109/ISPA.2012.67

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Abstract

When multiple users execute their streaming applications over a shared Cloud infrastructure, the provider typically captures the Quality of Service (QoS) for each application at a Service Level Agreement (SLA). Such an SLA identifies the cost that a user must pay to achieve the required QoS, and a penalty that must be paid to the user in case the QoS cannot be met. Assuming the maximisation of the revenue as the provider's objective, then it must decide: (i) which user streams to accept for storage and analysis; (ii) how many (computational / storage) resources to allocate to each stream in order to improve overall revenue and minimise cost. In this paper, we analyse revenue models for in-transit streaming applications, executed over a shared Cloud infrastructure under the presence of faulty computational resources. We propose an architecture that features a token bucket process envelop to accept user streams; and a control loop to enable resource allocation, while minimising operational cost.

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:	IEEE
ISBN:	9781467316316
Last Modified:	24 Oct 2022 11:48
URI:	https://orca.cardiff.ac.uk/id/eprint/49364

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