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.

中文翻译：

---

GPU加速云计算中的多媒体处理定价策略

图形处理单元 (GPU) 加速处理在许多多媒体应用程序中具有显着的效率。随着 GPU 云计算的发展，越来越多的云提供商专注于 GPU 加速服务。由于各种应用的高维护成本和不同的加速，GPU加速服务仍然需要不同的定价策略。因此，在本文中，我们提出了一种 GPU 加速多媒体处理服务的最优定价策略，以最大化云提供商和用户的利润。我们首先分析用户采用 GPU 加速多媒体处理服务时云提供商和用户的收入和成本，然后说明云提供商和用户的利润函数。使用基于博弈论的方法，我们找到了两个云提供商的最佳解决方案 s 和用户的利润函数。最后，通过大规模模拟，我们的定价策略与 GPU 云服务的原始定价策略相比，为云提供商和用户带来了更高的利润。