移动数据分流(Mobile Data Offloading)是近年来一个比较新的研究热点。为了解决用户日益增长的移动数据需求给蜂窝网络运营商造成的流量负载和网络拥塞等问题,移动数据分流被提出来,即将蜂窝网络的数据分流到无处不在的用户间本地机会...移动数据分流(Mobile Data Offloading)是近年来一个比较新的研究热点。为了解决用户日益增长的移动数据需求给蜂窝网络运营商造成的流量负载和网络拥塞等问题,移动数据分流被提出来,即将蜂窝网络的数据分流到无处不在的用户间本地机会通信。其基本思想是通过蜂窝网络分发数据对象到一部分订阅用户(称为种子用户),再由种子用户通过本地机会通信(如Bluetooth、WiFi Direct、DSRC、Device-to-Device in LTE等)或基于WiFi AP辅助的方式传送给其他订阅的用户。首先从总体上概述了当前对数据分流研究的背景、意义和具体的研究进展。然后针对当前国内外学术界对这方面的研究内容和趋势,按照形式和技术路线对数据分流的方案进行了归类,并对各种类型的分流方案进行了综述。最后结合现实环境进行总结。展开更多
Decentralized cloud platforms have emerged as a promising paradigm to exploit the idle computing resources across the Internet to catch up with the ever-increasing cloud computing demands.As any user or enterprise can...Decentralized cloud platforms have emerged as a promising paradigm to exploit the idle computing resources across the Internet to catch up with the ever-increasing cloud computing demands.As any user or enterprise can be the cloud provider in the decentralized cloud,the performance assessment of the heterogeneous computing resources is of vital significance.However,with the consideration of the untrustworthiness of the participants and the lack of unified performance assessment metric,the performance monitoring reliability and the incentive for cloud providers to offer real and stable performance together constitute the computational performance assessment problem in the decentralized cloud.In this paper,we present a robust performance assessment solution RODE to solve this problem.RODE mainly consists of a performance monitoring mechanism and an assessment of the claimed performance(AoCP)mechanism.The performance monitoring mechanism first generates reliable and verifiable performance monitoring results for the workloads executed by untrusted cloud providers.Based on the performance monitoring results,the AoCP mechanism forms a unified performance assessment metric to incentivize cloud providers to offer performance as claimed.Via extensive experiments,we show RODE can accurately monitor the performance of cloud providers on the premise of reliability,and incentivize cloud providers to honestly present the performance information and maintain the performance stability.展开更多
文摘移动数据分流(Mobile Data Offloading)是近年来一个比较新的研究热点。为了解决用户日益增长的移动数据需求给蜂窝网络运营商造成的流量负载和网络拥塞等问题,移动数据分流被提出来,即将蜂窝网络的数据分流到无处不在的用户间本地机会通信。其基本思想是通过蜂窝网络分发数据对象到一部分订阅用户(称为种子用户),再由种子用户通过本地机会通信(如Bluetooth、WiFi Direct、DSRC、Device-to-Device in LTE等)或基于WiFi AP辅助的方式传送给其他订阅的用户。首先从总体上概述了当前对数据分流研究的背景、意义和具体的研究进展。然后针对当前国内外学术界对这方面的研究内容和趋势,按照形式和技术路线对数据分流的方案进行了归类,并对各种类型的分流方案进行了综述。最后结合现实环境进行总结。
基金This work is supported by the National Natural Science Foundation of China under Grant Nos.61832006 and 61872240。
文摘Decentralized cloud platforms have emerged as a promising paradigm to exploit the idle computing resources across the Internet to catch up with the ever-increasing cloud computing demands.As any user or enterprise can be the cloud provider in the decentralized cloud,the performance assessment of the heterogeneous computing resources is of vital significance.However,with the consideration of the untrustworthiness of the participants and the lack of unified performance assessment metric,the performance monitoring reliability and the incentive for cloud providers to offer real and stable performance together constitute the computational performance assessment problem in the decentralized cloud.In this paper,we present a robust performance assessment solution RODE to solve this problem.RODE mainly consists of a performance monitoring mechanism and an assessment of the claimed performance(AoCP)mechanism.The performance monitoring mechanism first generates reliable and verifiable performance monitoring results for the workloads executed by untrusted cloud providers.Based on the performance monitoring results,the AoCP mechanism forms a unified performance assessment metric to incentivize cloud providers to offer performance as claimed.Via extensive experiments,we show RODE can accurately monitor the performance of cloud providers on the premise of reliability,and incentivize cloud providers to honestly present the performance information and maintain the performance stability.
