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CAREER: A Pull-Based Architecture for Active Web Content Replication

CAREER: A Pull-Based Architecture for Active Web Content Replication
职业生涯:用于主动 Web 内容复制的基于拉动的架构
批准号:
0553419
负责人:
Tarek Abdelzaher
金额:
$6.3万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-12-01 至 2007-02-28

项目摘要

项目成果

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中文摘要
翻译
万维网的惊人增长使其成为当今最受欢迎的互联网应用。Web代理缓存是缓解网络流量爆炸的重要手段。由于两个原因,当前的web缓存服务变得越来越低效。首先,不断增加的动态生成内容使得越来越多的基于网络的媒体无法访问。其次,日益多样化的网络流量需要一个qos感知的缓存基础设施,而目前的缓存是最好的。在这个项目中,我们将设计、实现和评估一个解决上述主要限制的活动教学/复制体系结构。该服务增强了web缓存的能力,不仅可以复制静态数据,还可以以需求驱动的qos敏感方式复制数据源。缓存充当qos感知的零售商,导入当前本地需求中的任何活动内容。需求驱动的数据源复制允许在缓存上生成动态内容。因此,它将对计算能力的需求从集中式原始服务器转移到最终用户附近的代理服务器,从而提高了可伸缩性,并允许对用户感知的信息访问性能进行缓存辅助定制。通过提供数据源位置作为可操作的维度,该架构为web性能优化问题提供了更好的解决方案,非常适合不同的最终用户需求。
英文摘要
The phenomenal growth of the world wide web has made it the most popularInternet application today. Web proxy caching is an important vehicle tomitigate web traffic explosion. Current web caching services are becomingincreasingly inefficient for two reasons. First, the continuous increasein dynamically generated content makes an increasing fraction of web-basedmedia uncacheable. Second, the increasing diversity of web trafficrequires a QoS-aware caching infrastructure while the current caches arebest-effort.In this project we shall design, implement and evaluate an activecaching/replication architecture that resolves the aforementioned majorlimitations. The service augments web caches with the ability toreplicate not only static data but also data sources in a demand-drivenQoS-sensitive fashion. The cache acts as a QoS-aware retailer thatimports whatever active content is in local demand at the current time.Demand-driven data source replication allows dynamic content to begenerated on the cache. Hence, it shifts the need for computing power fromcentralized origin servers to proxies in the vicinity of end-users therebyimproving scalability and allowing cache-assisted customization ofuser-perceived information access performance. By offering data sourcelocation as a dimension to manipulate, the architecture achieves bettersolutions for the web performance optimization problem that arewell-suited to diverse end-user needs.
期刊论文(0)
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会议论文
Collaborative Research: CPS: Medium: Real-time Criticality-Aware Neural Networks for Mission-critical Cyber-Physical Systems
CSR: Small: Data Services for Reliable Crowdsensing in Urban Spaces
Need-Based Sponsorship of Student Travel to IEEE MASS 2015; October 19-22, 2015; Dallas, TX
FIA-NP: Collaborative Research: Named Data Networking Next Phase (NDN-NP)
国内基金
海外基金
流场中多尺度Pull型自驱动颗粒聚集行为的研究
  • 批准号:
    QN25A020005
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    刘琛
  • 依托单位:
供应链多级库存网络的RFID使能的Push/Pull混合控制策略的研究
  • 批准号:
    61273203
  • 项目类别:
    面上项目
  • 资助金额:
    80.0万元
  • 批准年份:
    2012
  • 负责人:
    汪定伟
  • 依托单位: