A Stack4Things-based platform for mobile crowdsensing services

S. Distefano, A. Puliafito, Giovanni Merlino, F. Longo, Dario Bruneo
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引用次数: 3

Abstract

As mobiles grow pervasive in people's lives and expand their reach, Mobile CrowdSensing (MCS) and similar paradigms are going to play an ever more prominent role. There is a pressing need then to ease developers and service providers in embracing the opportunity, and that means offering a platform for such efforts. This in turn means providing a solid foundational architecture with abstractions and sound layering for MCS application designs to be mapped over it. This should base on a flexible infrastructure able to provide resources to MCS applications according to their requirements, hopefully on-demand. A service-oriented/Cloud model can perfectly fill this gap. This paper is a first step in this direction, proposing to adopt Stack4Things (S4T), an OpenStack-based platform for managing sensing and IoT nodes, for runtime customization of resources and their functions to support MCS services and applications. This implies developing and extending the S4T platform further to the specific requirements coming from off-the-shelf, e.g., Android-based, mobiles, as well as describing an example S4T-powered MCS application, Pothole Detection Mapping, to highlight the role of the platform.
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基于stack4things的移动众测服务平台
随着移动设备在人们生活中的普及和使用范围的扩大,移动群体感知(Mobile CrowdSensing, MCS)和类似的模式将发挥越来越重要的作用。我们迫切需要让开发者和服务提供商更容易接受这一机遇,这就意味着要为他们提供一个平台。这反过来意味着为MCS应用程序设计提供一个具有抽象和合理分层的坚实基础架构。这应该基于一个灵活的基础设施,能够根据MCS应用程序的需求(希望是按需)向它们提供资源。面向服务/云模型可以完美地填补这一空白。本文是朝这个方向迈出的第一步,提出采用Stack4Things (S4T),一个基于openstack的管理传感和物联网节点的平台,用于资源及其功能的运行时定制,以支持MCS服务和应用。这意味着进一步开发和扩展S4T平台,以满足现有的特定需求,例如,基于android的移动设备,以及描述一个S4T驱动的MCS应用程序,凹坑检测映射,以突出平台的作用。
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