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GoSharing: An intelligent incentive framework based on users' association for cooperative content sharing in mobile edge networks

机译:GoSharing:基于用户关联的智能激励框架,用于移动边缘网络中的协作内容共享

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In most metropolises, commuters spend a considerable amount of time on public transport, and many of them entertain themselves with the content (like music or videos) on their mobile devices to alleviate boredom. Currently, the content, usually shared in co-located wireless networks to avoid huge monetary cost of using cellular data, is delivered from single host (resource owner) to single request user, which brings low transmission quality, due to the uncertainty of mobile edge networks in public transport environments.In this paper, we present an intelligent incentive framework called GoSharing which encourages multiple hosts to share content collaboratively to improve delivery quality, by taking advantage of users' association and consideration of network Quality of Service(QoS) requirements. The highlight of GoSharing is the novel Association-based Intelligent incentive mechanism that consists of three key components. First, a Fast Candidate Generation algorithm discovers users' association according to their stored content and QoS requirements and filters the candidate groups from large host groups. Second, a Host Selection algorithm finds a near-optimal solution among candidate groups within an approximate factor of F(d), where d denotes the maximum size of completed tasks when any candidate group is selected. Last but not least, a Payment Determination algorithm determines the payment of resource contributors while guaranteeing the truthfulness of their bids based on the procurement auction. Both theoretical analysis and extensive simulations demonstrate that GoSharing not only effectively motivates hosts' collaborative sharing, but also achieves the properties of truthfulness, individual rationality, high computational efficiency, low overpayment ratio, and high download ratio. (C) 2019 Elsevier B.V. All rights reserved.
机译:在大多数大都市中,通勤者在公共交通工具上花费大量时间,其中许多人通过移动设备上的内容(例如音乐或视频)来娱乐自己,以减轻无聊。当前,通常在同一地点的无线网络中共享的内容通常避免在同一个位置的无线网络中共享,以避免使用蜂窝数据的巨额金钱成本,该内容已从单个主机(资源所有者)传递到单个请求用户,由于移动边缘的不确定性,这带来了较低的传输质量在本文中,我们提出了一个名为GoSharing的智能激励框架,该框架鼓励多台主机通过利用用户的关联并考虑网络服务质量(QoS)要求来协作共享内容,以提高交付质量。 GoSharing的重点是新颖的基于协会的智能激励机制,该机制包括三个关键部分。首先,快速候选生成算法根据用户存储的内容和QoS要求发现其关联,并从大型主机组中过滤候选组。其次,主机选择算法在F(d)的近似因子内找到候选组之间的近似最优解,其中d表示选择任何候选组时已完成任务的最大大小。最后但并非最不重要的一点是,“付款确定”算法可以确定资源贡献者的付款,同时根据采购拍卖来保证其出价的真实性。理论分析和广泛的仿真均表明,GoSharing不仅有效地促进了主机的协作共享,而且还达到了真实性,个人理性,高计算效率,低多付率和高下载率的特性。 (C)2019 Elsevier B.V.保留所有权利。

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