The emergence of mobile cloud computing enables mobile users to offload computation tasks to other resource-rich mobile devices to reduce energy consumption and enhance performance. A direct peer-to-peer connection among mobile devices to offload computation tasks can be a highly promising solution to provide a fast mechanism, especially for deadline-sensitive offloading tasks. The generic blockchain-based system might fail in such a scenario due to it being a heavyweight mechanism requiring high power consumption in the mining process. To address these issues, in this article, we propose a directed acyclic graph-enabled mobile offloading (DAGMO) algorithm. DAGMO model is empowered by traditional blockchain features and provides additional advantages to overcome the fundamental limitations of generic blockchain. A game-theoretic approach is used to model the interactions between mobile devices. The numerical analysis proves the proposed model to enhance the overall welfare of the participating nodes in terms of computation cost and time.

中文翻译：

---

基于区块链与虚拟投票相结合的移动数据分流框架

移动云计算的出现使移动用户能够将计算任务卸载到其他资源丰富的移动设备上，以降低能耗并提高性能。移动设备之间用于卸载计算任务的直接点对点连接可能是一种非常有前途的解决方案，可以提供一种快速机制，尤其是对于期限敏感的卸载任务。通用的基于区块链的系统在这种情况下可能会失败，因为它是一种重量级机制，在挖掘过程中需要高功耗。为了解决这些问题，在本文中，我们提出了一种支持有向无环图的移动卸载 (DAGMO) 算法。DAGMO 模型由传统的区块链特性赋能，并提供额外的优势来克服通用区块链的根本限制。博弈论方法用于模拟移动设备之间的交互。数值分析证明了所提出的模型在计算成本和时间方面提高了参与节点的整体福利。