EdgeChain：基于区块链的多供应商移动边缘应用放置
EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement
摘要：
最先进的移动边缘应用程序正在产生密集的流量，并对服务提供商提出严格的延迟要求。虽然跨多个服务提供商的资源共享可以最大限度地利用网络边缘的有限资源，但它需要由所有各方维护的集中式存储库，以便服务提供商共享状态。此外，服务提供商必须为了资源分配公平而相互信任，这是困难的，因为潜在的利益冲突。我们提出了EdgeChain，这是一种基于区块链的架构，可以为多个服务提供商做出移动边缘应用程序放置决策。首先，我们制定了一个随机规划问题，最大限度地减少移动边缘应用程序放置场景的放置成本。在此基础上，提出了一种启发式移动边缘应用布局算法.作为一个去中心化的公共账本，区块链将我们算法的逻辑作为智能合约，并考虑到参与系统的所有移动边缘主机的资源。该算法由各方同意，结果只会被区块链上的大多数采矿节点接受。当做出放置决定时，将以最低的成本选择满足消费者延迟和预算要求的边缘主机。所有放置交易都存储在区块链上，并且可以由在移动边缘消耗资源的每个移动边缘服务提供商和应用程序供应商跟踪。
英文摘要：
The state-of-the-art mobile edge applications are generating intense traffic and posing rigorous latency requirements to service providers. While resource sharing across multiple service providers can be a way to maximize the utilization of limited resources at the network edge, it requires a centralized repository maintained by all parties for service providers to share status. Moreover, service providers have to trust each other for resource allocation fairness, which is difficult because of potential conflicts of interest. We propose EdgeChain, a blockchain-based architecture to make mobile edge application placement decisions for multiple service providers. We first formulate a stochastic programming problem minimizing the placement cost for mobile edge application placement scenarios. Based on our model, we present a heuristic mobile edge application placement algorithm. As a decentralized public ledger, the blockchain then takes the logic of our algorithm as the smart contract, with the consideration of resources from all mobile edge hosts participating in the system. The algorithm is agreed by all parties and the results will only be accepted by majority of the mining nodes on the blockchain. When a placement decision is made, an edge host meeting the consumer's latency and budget requirements will be selected at the lowest cost. All placement transactions are stored on the blockchain and are traceable by every mobile edge service provider and application vendor who consumes resources at the mobile edge.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
