In-network computing indicates the convergence of computing and network, which can be further considered as computing-based networking and network-enabled computing, from which comes the edge in-network computing paradigm. In this newly proposed paradigm, the computing, caching, and communication resources are deployed on in-transit edge nodes, such as routers or switches; hence, services are provided with less delay and energy consumption by the deep aggregation of edge-side resources. However, open challenges still exist in dealing with heterogeneous resource sharing, scheduling, and ensuring credibility of service processing. Given this background, this article aims to address the edge-side heterogeneous resource trust management in multi-domain scenarios. A multi-domain heterogeneous resource trust management architecture is first constructed to achieve trusted resource sharing and transaction. Then, under the proposed architecture, a smart-contract-based resource sharing mechanism is formulated, including an incentive mechanism based on end-side node contribution. Furthermore, a differential-evolution-enabled containerized microservice orchestration algorithm is finally designed to minimize operation delay and load imbalance during the container deployment. The application of this platform in a highly elastic power grid scenario has been tested as an example.

中文翻译：

---

边缘网内计算遇上区块链：多域异构资源信任管理架构

网内计算是计算与网络的融合，可以进一步认为是基于计算的网络和网络赋能的计算，由此产生了边缘网内计算范式。在这个新提出的范式中，计算、缓存和通信资源部署在传输中的边缘节点上，例如路由器或交换机；因此，通过边缘侧资源的深度聚合，提供更少的延迟和能耗的服务。然而，在处理异构资源共享、调度和保证业务处理的可信性方面仍然存在开放性挑战。在此背景下，本文旨在解决多域场景中的边缘侧异构资源信任管理。首先构建多域异构资源信任管理架构，实现可信资源共享和交易。然后，在所提出的架构下，制定了基于智能合约的资源共享机制，包括基于端侧节点贡献的激励机制。此外，最终设计了一种支持差分进化的容器化微服务编排算法，以最大限度地减少容器部署过程中的操作延迟和负载不平衡。以该平台在高弹性电网场景中的应用为例进行了测试。最终设计了一种支持差分进化的容器化微服务编排算法，以最大限度地减少容器部署过程中的操作延迟和负载不平衡。以该平台在高弹性电网场景中的应用为例进行了测试。最终设计了一种支持差分进化的容器化微服务编排算法，以最大限度地减少容器部署过程中的操作延迟和负载不平衡。以该平台在高弹性电网场景中的应用为例进行了测试。