Edge Computing-Based Tasks Offloading and Block Caching for Mobile Blockchain

Internet of Things (IoT) technology is rapidly evolving, but there is no trusted platform to protect user privacy, protect information between different IoT domains, and promote edge processing. Therefore, we integrate the blockchain technology into constructing trusted IoT platforms. However, the application of blockchain in IoT is hampered by the challenges posed by heavy computing processes. To solve the problem, we put forward a blockchain framework based on mobile edge computing, in which the blockchain mining tasks can be offloaded to nearby nodes or the edge computing service providers and the encrypted hashes of blocks can be cached in the edge computing service providers. Moreover, we model the process of offloading and caching to ensure that both edge nodes and edge computing service providers obtain the maximum profit based on game theory and auction theory. Finally, the proposed mechanism is compared with the centralized mode, mode A (all the miners offload their tasks to the edge computing service providers), and mode B (all the miners offload their tasks to a group of neighbor devices). Simulation results show that under our mechanism, mining networks obtain more profits and consume less time on average.     

Service Scheduling Based on Edge Computing for Power Distribution IoT

With the growing amounts of multi-micro grids, electric vehicles, smart home, smart cities connected to the Power Distribution Internet of Things (PD-IoT) system, greater computing resource and communication bandwidth are required for power distribution. It probably leads to extreme service delay and data congestion when a large number of data and business occur in emergence. This paper presents a service scheduling method based on edge computing to balance the business load of PD-IoT. The architecture, components and functional requirements of the PD-IoT with edge computing platform are proposed. Then, the structure of the service scheduling system is presented. Further, a novel load balancing strategy and ant colony algorithm are investigated in the service scheduling method. The validity of the method is evaluated by simulation tests. Results indicate that the mean load balancing ratio is reduced by 99.16% and the optimized offloading links can be acquired within 1.8 iterations. Computing load of the nodes in edge computing platform can be effectively balanced through the service scheduling.     

面向智障人士的协作服务设计研究

目的对面向智障人士的协作服务模式及协作关系表现出的特征进行研究,挖掘其深层的设计意义和设计干预方式。方法以赋能协作6要素为基础,通过案例对比,界定面向智障人士的协作服务特征,进而总结设计策略。结论以6要素为维度展开对典型案例的对比分析,总结出协作服务的目的、参与角色、协作路径等方面的特征和设计干预策略,为该领域的设计案例提出有借鉴性的参考与指导。     

基于认知型社会资本的社区老年协同服务设计策略研究

目的探析认知型社会资本对老年人在协同服务设计中的促进作用,并进一步提出激活老年人社会资本,提高老年人创新能力的策略。方法通过介绍社会资本与老年人创新能力的关系和老年人参与协同服务设计的案例,说明老年人参与设计的意义及社会资本在其中的作用。结论老年人群是一个具有创新能力的群体,认知型社会资本会激发其在协同服务设计中的创新能力,设计师应该帮助老年人了解其所拥有的社会资本,助力其在协同创新中发挥作用。