The big data processing in distributed Internet of Things (IoT) systems calls for innovative computing architectures and resource provisioning techniques to support real-time and cost-effective computing services. This article introduces a novel overbooking-promoted forward trading mechanism named Overbook in Advance, Trade in Future (OATF), where computing resources can be traded across three parties, i.e. end-users, an edge server and a remote cloud server, under a hybrid device-edge-cloud network with uncertainties (e.g., "no shows"). More importantly, OATF encourages a feasible overbooking rate that allows the edge server to overbook resources to multiple end-users (e.g., exceed the resource supply), while purchasing backup resources from the cloud server, by determining rights and obligations associated with forward contracts in advance via analyzing historical statistics (e.g., network, resource dynamics). Such a mechanism can greatly improve time efficiency and resource utilization thanks to overbooking and pre-signed forward contracts. Critical issues such as overbooking rate design and risk management are carefully investigated in this article, while an interesting case study is proposed with mathematical analysis. Comprehensive simulations demonstrate that OATF achieves mutually beneficial utilities for different parties (cloud, edge, and end-users), as well as substantial resource usage and commendable time efficiency, in comparison with conventional trading methods.
翻译:在分布式“物”互联网(IoT)系统中的大型数据处理要求创新的计算架构和资源提供技术,以支持实时和具有成本效益的计算服务; 本条引入了一个名为《预发期、未来贸易》的超账促销前期交易机制(OATF)的新颖的超账促前期交易机制,通过分析历史统计数据(例如网络、资源动态),确定与远期合同相关的权利和义务。这种机制可以大大提高时间效率和资源利用,因为超账和预签前期合同(例如“不显示”等混合装置-尖端网络)。更重要的是,OATF鼓励一种可行的超账率,使边端服务器能够超账资源给多个终端用户(例如,超过资源供应),同时通过分析历史统计数据(例如,网络、资源动态),从云端服务器购买后备资源。这种机制可以大大提高时间效率和资源利用,因为超账和预签的远端合同(例如“不显示”),在文章中仔细调查过高的费率设计和风险管理等关键问题,同时提议进行有趣的案例研究,同时通过数学分析、全面模拟和跨期资源使用方法,以取得实质性的资源效率。