【24h】

Real-Time Ship Management through the Lens of Big Data

机译:大数据视角的实时船舶管理

获取原文

摘要

In this paper we describe a scenario from the Shipping industry, that employs analytics, stream processing, monitoring, alerting and vessel route optimization over big data. This includes the business process modelling, infrastructure management and monitoring along with dimensioning and deployment of focused services requiring different stakeholders roles for their parameterization and enactment. Apart from analysing the domain requirements and user roles, we show how BigDataStack, i.e., a high-performance data-centric stack for big data applications and operations, incorporates, supports and facilitates all these requirements.
机译:在本文中,我们描述了航运业的一个场景,该场景采用了对大数据的分析,流处理,监视,警报和船只路线优化。这包括业务流程建模,基础架构管理和监视,以及需要特定涉众角色进行参数化和制定的重点服务的规模确定和部署。除了分析域需求和用户角色之外,我们还展示了BigDataStack(即用于大数据应用程序和操作的高性能以数据为中心的堆栈)如何合并,支持和促进所有这些需求。

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