• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Information visualization >Visualizing large-scale streaming applications
【24h】

Visualizing large-scale streaming applications

机译：可视化大型流应用程序

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Stream processing is a new and important computing paradigm. Innovative streaming applications are being developed in areas ranging from scientific applications (for example, environment monitoring), to business intelligence (for example, fraud detection and trend analysis), to financial markets (for example, algorithmic trading systems). In this paper we describe Streamsight, a new visualization tool built to examine, monitor and help understand the dynamic behavior of streaming applications. Streamsight can handle the complex, distributed and large-scale nature of stream processing applications by using hierarchical graphs, multi-perspective visualizations, and de-cluttering strategies. To address the dynamic and adaptive nature of these applications, Streamsight also provides real-time visualization as well as the capability to record and replay. All these features are used for debugging, for performance optimization, and for management of resources, including capacity planning. More than 100 developers, both inside and outside IBM, have been using Streamsight to help design and implement large-scale stream processing applications.
机译：流处理是一种新的重要的计算范例。从科学应用（例如环境监控）到商业智能（例如欺诈检测和趋势分析）再到金融市场（例如算法交易系统）的领域，正在开发创新的流应用程序。在本文中，我们描述了Streamsight，这是一种新的可视化工具，旨在检查，监视和帮助理解流应用程序的动态行为。通过使用分层图，多角度可视化和整理策略，Streamsight可以处理流处理应用程序的复杂，分布式和大规模性质。为了解决这些应用程序的动态和自适应特性，Streamsight还提供了实时可视化以及记录和重放的功能。所有这些功能都用于调试，性能优化和资源管理，包括容量规划。 IBM内部和外部的100多个开发人员一直在使用Streamsight来帮助设计和实现大规模流处理应用程序。

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