Mobile distributed caching(MDC)as an emerging technology has drawn attentions for its ability to shorten the distance between users and data in the wireless network.However,the DC network state in the existing work is...Mobile distributed caching(MDC)as an emerging technology has drawn attentions for its ability to shorten the distance between users and data in the wireless network.However,the DC network state in the existing work is always assumed to be either static or real-time updated.To be more realistic,a periodically updated wireless network using maximum distance separable(MDS)-coded DC is studied,in each period of which the devices may arrive and leave.For the efficient optimization of the system with large scale,this work proposes a blockchain-based cooperative deep reinforcement learning(DRL)approach,which enhances the efficiency of learning by cooperating and guarantees the security in cooperation by the practical Byzantine fault tolerance(PBFT)-based blockchain mechanism.Numerical results are presented,and it illustrates that the proposed scheme can dramatically reduce the total file download delay in DC network under the guarantee of security and efficiency.展开更多
接入级P2P(Peer-to-Peer)缓存容量设计回答在接入级ISP(Internet Service Provider)出口部署多大容量缓存的问题,目前还没有最优P2P缓存容量设计方法被提出.本文提出一种权衡存储成本和带宽成本的P2P缓存容量设计方法,以最小化ISP出口...接入级P2P(Peer-to-Peer)缓存容量设计回答在接入级ISP(Internet Service Provider)出口部署多大容量缓存的问题,目前还没有最优P2P缓存容量设计方法被提出.本文提出一种权衡存储成本和带宽成本的P2P缓存容量设计方法,以最小化ISP出口流量总花费为目标,将最优缓存容量设计问题描述为整数规划问题,其目标函数形式为单调阶梯函数,通过理论推导得出最优缓存容量计算公式指导接入级ISP进行缓存容量设计.将本文所提方法与Median和"20-80 Rule"等几种ISP常用的容量设计方法进行性能比较,结果表明,本文所提方法明显优于已有方法,与目前ISP最认可的"20-80 Rule"相比,应用本文所提方法的ISP出口流量总花费最多可降低7.5%.展开更多
基金Supported by the National Natural Science Foundation of China(No.61571021,61901011)the Program of China Scholarship Council(No.201806540039).
文摘Mobile distributed caching(MDC)as an emerging technology has drawn attentions for its ability to shorten the distance between users and data in the wireless network.However,the DC network state in the existing work is always assumed to be either static or real-time updated.To be more realistic,a periodically updated wireless network using maximum distance separable(MDS)-coded DC is studied,in each period of which the devices may arrive and leave.For the efficient optimization of the system with large scale,this work proposes a blockchain-based cooperative deep reinforcement learning(DRL)approach,which enhances the efficiency of learning by cooperating and guarantees the security in cooperation by the practical Byzantine fault tolerance(PBFT)-based blockchain mechanism.Numerical results are presented,and it illustrates that the proposed scheme can dramatically reduce the total file download delay in DC network under the guarantee of security and efficiency.
文摘接入级P2P(Peer-to-Peer)缓存容量设计回答在接入级ISP(Internet Service Provider)出口部署多大容量缓存的问题,目前还没有最优P2P缓存容量设计方法被提出.本文提出一种权衡存储成本和带宽成本的P2P缓存容量设计方法,以最小化ISP出口流量总花费为目标,将最优缓存容量设计问题描述为整数规划问题,其目标函数形式为单调阶梯函数,通过理论推导得出最优缓存容量计算公式指导接入级ISP进行缓存容量设计.将本文所提方法与Median和"20-80 Rule"等几种ISP常用的容量设计方法进行性能比较,结果表明,本文所提方法明显优于已有方法,与目前ISP最认可的"20-80 Rule"相比,应用本文所提方法的ISP出口流量总花费最多可降低7.5%.
