Multimedia Processing Pricing Strategy in GPU-Accelerated Cloud Computing

Graphics processing unit (GPU) accelerated processing performs significant efficiency in many multimedia applications. With the development of GPU cloud computing, more and more cloud providers focus on GPU-accelerated services. Since the high maintenance cost and different speedups for various appl...

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Bibliographic Details
Published in:IEEE transactions on cloud computing 2020-10, Vol.8 (4), p.1264-1273
Main Authors: Li, He, Ota, Kaoru, Dong, Mianxiong, Vasilakos, Athanasios V., Nagano, Koji
Format: Article
Language:English
Subjects:
Cloud Computing
Computational modeling
Cost analysis
Distribuerade datorsystem
Game theory
GPU-accelerated
Graphics processing units
Maintenance costs
Multimedia
Multimedia communication
Optimization
Pervasive Mobile Computing
Pricing
Strategy
Virtual machining
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Summary:Graphics processing unit (GPU) accelerated processing performs significant efficiency in many multimedia applications. With the development of GPU cloud computing, more and more cloud providers focus on GPU-accelerated services. Since the high maintenance cost and different speedups for various applications, GPU-accelerated services still need a different pricing strategy. Thus, in this paper, we propose an optimal pricing strategy of GPU-accelerated multimedia processing services for maximizing the profits of both the cloud provider and users. We first analyze the revenues and costs of the cloud provider and users when users adopt GPU-accelerated multimedia processing services then state the profit functions of both the cloud provider and users. With a game theory based method, we find the optimal solutions of both the cloud provider's and users' profit functions. Finally, through large scale simulations, our pricing strategy brings higher profit to the cloud provider and users compared to the original pricing strategy of GPU cloud services.
ISSN:2168-7161
2168-7161
2372-0018
DOI:10.1109/TCC.2017.2672554