• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE World Forum on Internet of Things >Genoma: Distributed Provenance as a Service for IoT-based Systems
【24h】

Genoma: Distributed Provenance as a Service for IoT-based Systems

机译：Genoma：基于IoT的系统的分布式来源即服务

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

One of the key aspects of IoT-based systems, which we believe has not been getting the attention it deserves, is provenance. Provenance refers to those actions that record the usage of data in the system, along with the rationale for said usage. Historically, most provenance methods in distributed systems have been tightly coupled with those of the underlying data processing frameworks in such systems. However, in this paper, we argue that IoT provenance requires a different treatment, given the heterogeneity and dynamism of IoT-based systems. In particular, provenance in IoT-based systems should be decoupled as far as possible from the underlying data processing substrates in IoT-based systems.To that end, in this paper, we present Genoma, our ongoing work on a system for provenance-as-a-service in IoT-based systems. By "provenance-as-a-service" we mean the following: distributed provenance across IoT devices, edge and cloud; and agnostic of the underlying data processing substrate. Genoma comprises a set of services that act together to provide useful provenance information to users across the system. We also show how we are realizing Genoma via an implementation prototype built on Apache Atlas and Tinkergraph, through which we are investigating several key research issues in distributed IoT provenance.
机译：基于物联网的系统的关键方面之一是出处，而我们认为该方面尚未引起应有的关注。来源是指记录系统中数据使用情况的那些动作以及所述使用情况的理由。从历史上看，分布式系统中的大多数出处方法已经与此类系统中基础数据处理框架的方法紧密结合。但是，在本文中，鉴于基于IoT的系统的异质性和动态性，我们认为IoT起源需要不同的处理方式。特别是，基于IoT的系统的来源应尽可能与基于IoT的系统中的底层数据处理基础脱钩。为此，在本文中，我们介绍了Genoma，这是我们正在进行的针对基于来源的系统的工作基于物联网的系统中的一项服务。 “服务即服务”指的是：跨物联网设备，边缘和云的分布式源;并且与底层数据处理基板无关。 Genoma包含一组服务，这些服务共同作用以向整个系统的用户提供有用的出处信息。我们还展示了如何通过基于Apache Atlas和Tinkergraph构建的实现原型来实现Genoma，通过该原型我们正在研究分布式物联网出处中的几个关键研究问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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