DTC:移动边缘计算动态可信协作架构

Ruizhong Du, Yan Gao
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引用次数: 0

摘要

在移动边缘计算(MEC)下,协同计算是优化边缘网络负载和服务器资源分配的新范式。然而,协作节点在为计算设备提供计算和缓存服务时,仍然存在资源不平衡、身份不可靠等问题。因此,应该建立一个高效可靠的MEC网络来应对这些挑战。提出了一种动态可信协作方案。具体而言,MEC场景中节点的交易监管首先通过基于区块链的移动边缘计算(BMEC)技术实现。在BMEC中,建立了一个管理方案,为建立一个可信的MEC环境奠定了基础。其次,设计了协作模型。在此基础上,将其表述为基于计算、通信、缓存和能耗的优化问题。验证了公式问题是NP完全的。因此,本研究采用一种改进的启发式算法来解决这一问题。实验结果表明,与其他协同方案相比,DTC不仅具有良好的性能,而且可以有效地提高MEC网络的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DTC: A Dynamic Trusted Collaboration Architecture for Mobile Edge Computing
Under mobile edge computing (MEC), collaborative computing is a new paradigm to optimize edge network load and server resource allocation. However, there are still issues such as resource imbalance and unreliable identity when collaborative nodes provide computing and caching services for computing devices. Therefore, an efficient and reliable MEC network should be established to manage these challenges. In this paper, a dynamic trusted collaboration scheme is proposed. Specifically, the transaction supervision of nodes in the MEC scenario is first realized through blockchain-based mobile edge computing (BMEC) technology. In BMEC, a management scheme is established laying the foundation for building a trusted MEC environment. Second, a collaborative model is designed. On this basis, it is formulated as an optimization problem based on computing, communication, caching, and energy consumption. The formulation problem is verified to be NP complete. Thus, an improved heuristic algorithm is adopted in this study to solve this problem. Ultimately, the experimental results demonstrate that DTC not only has good performance but also can effectively enhance the reliability of the MEC network compared with other cooperative schemes.
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