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Selling FLOPs: Telecom Service Providers Can Rent a Cloudlet via Acceleration as a Service (AXaaS)

Selling FLOPs: Telecom Service Providers Can Rent a Cloudlet via Acceleration as a Service (AXaaS)

Nathaniel Powers, Tolga Soyata
Copyright: © 2015 |Pages: 31
ISBN13: 9781466686625|ISBN10: 1466686626|EISBN13: 9781466686632
DOI: 10.4018/978-1-4666-8662-5.ch006
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MLA

Powers, Nathaniel, and Tolga Soyata. "Selling FLOPs: Telecom Service Providers Can Rent a Cloudlet via Acceleration as a Service (AXaaS)." Enabling Real-Time Mobile Cloud Computing through Emerging Technologies, edited by Tolga Soyata, IGI Global, 2015, pp. 182-212. https://doi.org/10.4018/978-1-4666-8662-5.ch006

APA

Powers, N. & Soyata, T. (2015). Selling FLOPs: Telecom Service Providers Can Rent a Cloudlet via Acceleration as a Service (AXaaS). In T. Soyata (Ed.), Enabling Real-Time Mobile Cloud Computing through Emerging Technologies (pp. 182-212). IGI Global. https://doi.org/10.4018/978-1-4666-8662-5.ch006

Chicago

Powers, Nathaniel, and Tolga Soyata. "Selling FLOPs: Telecom Service Providers Can Rent a Cloudlet via Acceleration as a Service (AXaaS)." In Enabling Real-Time Mobile Cloud Computing through Emerging Technologies, edited by Tolga Soyata, 182-212. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8662-5.ch006

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Abstract

To meet the user demand for an ever-increasing mobile-cloud computing performance for resource-intensive mobile applications, we propose a new service architecture called Acceleration as a Service (AXaaS). We formulate AXaaS based on the observation that most resource-intensive applications, such as real-time face-recognition and augmented reality, have similar resource-demand characteristics: a vast majority of the program execution time is spent on a limited set of library calls, such as Generalized Matrix-Multiply operations (GEMM), or FFT. Our AXaaS model suggests accelerating only these operations by the Telecom Service Providers (TSP). We envision the TSP offering this service through a monthly computational service charge, much like their existing monthly bandwidth charge. We demonstrate the technological and business feasibility of AXaaS on a proof-of-concept real-time face recognition application. We elaborate on the consumer, developer, and the TSP view of this model. Our results confirm AXaaS as a novel and viable business model.

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