首页> 外文OA文献 >Socially Trusted Collaborative Edge Computing in Ultra Dense Networks
【2h】

Socially Trusted Collaborative Edge Computing in Ultra Dense Networks

机译:超密集网络中的社会可信协同边缘计算

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Small cell base stations (SBSs) endowed with cloud-like computingcapabilities are considered as a key enabler of edge computing (EC), whichprovides ultra-low latency and location-awareness for a variety of emergingmobile applications and the Internet of Things. However, due to the limitedcomputation resources of an individual SBS, providing computation services ofhigh quality to its users faces significant challenges when it is overloadedwith an excessive amount of computation workload. In this paper, we proposecollaborative edge computing among SBSs by forming SBS coalitions to sharecomputation resources with each other, thereby accommodating more computationworkload in the edge system and reducing reliance on the remote cloud. A novelSBS coalition formation algorithm is developed based on the coalitional gametheory to cope with various new challenges in small-cell-based edge systems,including the co-provisioning of radio access and computing services,cooperation incentives, and potential security risks. To address thesechallenges, the proposed method (1) allows collaboration at both the user-SBSassociation stage and the SBS peer offloading stage by exploiting the ultradense deployment of SBSs, (2) develops a payment-based incentive mechanism thatimplements proportionally fair utility division to form stable SBS coalitions,and (3) builds a social trust network for managing security risks among SBSsdue to collaboration. Systematic simulations in practical scenarios are carriedout to evaluate the efficacy and performance of the proposed method, whichshows that tremendous edge computing performance improvement can be achieved.
机译:具有类似云计算能力的小型基站(SBS)被认为是边缘计算(EC)的关键推动力,它为各种新兴移动应用程序和物联网提供超低延迟和位置感知能力。但是,由于单个SBS的计算资源有限,因此当向其用户提供高质量的计算服务时,如果计算负载量过大,将面临巨大的挑战。在本文中,我们通过形成SBS联盟以彼此共享计算资源来提出SBS之间的协作边缘计算,从而在边缘系统中容纳更多的计算工作量,并减少了对远程云的依赖。基于联盟博弈论,开发了一种新颖的SBS联盟形成算法,以应对基于小小区的边缘系统中的各种新挑战,包括无线电资源和计算服务的共同供应,合作激励以及潜在的安全风险。为了解决这些挑战,建议的方法(1)通过利用SBS的超密集部署,允许在用户SBS关联阶段和SBS对等卸载阶段进行协作,(2)开发一种基于支付的激励机制,以实现按比例公平的公用事业划分稳定的SBS联盟,以及(3)建立社会信任网络来管理SBS之间由于协作而产生的安全风险。在实际场景中进行了系统仿真,以评估该方法的有效性和性能,这表明可以实现巨大的边缘计算性能改进。

著录项

  • 作者

    Chen, Lixing; Xu, Jie;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号