Future Internet of Things (FIoT) is a service concentric distributed architecture that is used by the smart city users for information sharing and access. The design of FIoT focuses in achieving reliable service and response to the growing user demands through different interoperability features. In this manuscript, concurrent service access and management framework is introduced to improve the swiftness in user concentric request processing. Based on the availability of the services and the density of the users, the concurrency in information access is provided to the users in a reliable manner. The framework incorporates convolution neural learning process in linear and differential manner for improving the access and service usage rates of the requesting users. The access sessions are differentiated for the accessible and offloaded requests to the available service providers based on the learning instances. The proposed framework is assessed using the metrics access rate, service usage rate, access delay, time lag, and failure ratio.

未来物联网（FIoT）是服务同心的分布式体系结构，智能城市用户将其用于信息共享和访问。FIoT的设计着重于通过不同的互操作性功能实现可靠的服务并响应不断增长的用户需求。在本文中，引入了并发服务访问和管理框架，以提高用户同心请求处理的敏捷性。基于服务的可用性和用户的密度，以可靠的方式向用户提供信息访问的并发性。该框架以线性和差分方式结合了卷积神经学习过程，以提高请求用户的访问和服务使用率。基于学习实例，针对向可用服务提供商的可访问和卸载请求，区分访问会话。使用度量访问率，服务使用率，访问延迟，时滞和失败率等指标来评估所提出的框架。