首页> 外文会议>IEEE International Conference on Data Engineering Workshops >Towards self-managing cloud-scale computing platforms: Experiences and challenges
【24h】

Towards self-managing cloud-scale computing platforms: Experiences and challenges

机译:朝着自我管理的云规模计算平台:经验和挑战

获取原文

摘要

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. More and more companies heavily rely on massive data analysis of many kinds to understand data insights and drive business decisions. To support this ever-increasing need, big data computing platforms have grown to an unprecedented scale, way beyond human manageability. In this talk, I'll share our experiences at Alibaba to enable our big data platforms to configure, optimize, monitor, and protect themselves automatically, including automatic version testing and deployment control, system health monitoring and alert, automatic physical design/data placement/storage optimization, etc. I'll also outline some outstanding research and engineering challenges.
机译:摘要只给出,如下所述。完整的陈述未作为会议诉讼程序的一部分提供出版物。越来越多的公司依赖大量数据分析,了解数据洞察力和推动业务决策。为了支持这种不断增加的需求,大数据计算平台已经发展到前所未有的规模,超越人类可管理性。在这次谈话中,我将在阿里巴巴分享我们的经验,使我们的大数据平台能够自动配置,优化,监控和保护自己,包括自动版本测试和部署控制,系统健康监控和警报,自动物理设计/数据展示/储存优化等我还概述了一些出色的研究和工程挑战。

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