III-COR: Scalable Publish/Subscribe: Unifying Data Processing and Dissemination
III-COR:可扩展的发布/订阅:统一数据处理和传播
基本信息
- 批准号:0713498
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-01 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Digital Age has brought about unprecedented growth in the amountof data being generated, the number of data consumers, and thediversity of their interests and locations. Traditionally, users pollsources for information, but for many applications, polling is hardlyscalable and may miss important events. The alternative offered bypublish/subscribe systems is to push notifications to users withmatching interests. This approach suits many applications, rangingfrom personal, commercial, medical, to environmental, military, andsecurity. However, traditional publish/subscribe systems are becominginadequate for advanced applications, where users want to receiveinformation that has been filtered, joined, and summarized, and onlywhen certain conditions are met.This project aims at building a next-generation publish/subscribesystem to face the new challenges. The PIs propose an end-to-endsolution consisting of techniques from subscription processing andindexing to dissemination network design, which work together tosupport efficient and powerful subscription functionalities, allowingusers to control precisely what they want and when they want it.One main feature distinguishing the proposed approach from previouswork is joint consideration of subscription processing andnotification dissemination. Traditionally, these problems areconsidered separately by database and networking communities.However, there exists a wide spectrum of interesting alternatives forinterfacing processing with dissemination. The PIs propose apromising approach that allows complex, stateful subscriptions to behandled by simple, stateless dissemination mechanisms, with a cleansystem design that is easy to implement and scale. A cost-basedoptimizer, inspired by database query optimization, chooses the bestprocessing and dissemination strategies jointly and dynamically.Besides system building, this project tackles many new algorithmicchallenges, including, e.g., scalably processing a large number ofcomplex subscriptions; exploiting event and subscriptioncharacteristics to combat worst-case complexity; balancing semanticsimilarity and network proximity in dissemination network design; andefficiently maintaining statistics for high-dimensional events andsubscriptions.Broader Impact:Bringing together their expertise in databases and algorithms, the PIshave a track record of collaborating with each other and withresearchers outside computer science. A planned application of thesystem is to help ecologists with environmental monitoring.The PIs are committed to integrating research and education, and inparticular undergraduate research, by following their tradition ofinvolving undergraduates through REU and department fellowships. ThePIs are collaborating on an effort supported by the Department ofEducation, to increase workforce diversity for women, minorities, andpersons with disabilities. They also participate in an internshipprogram for underrepresented groups, which provides minority studentsopportunities to perform paid summer research with Duke facultymembers.Project URL: http://www.cs.duke.edu/dbgroup/prosem/
数字时代带来了前所未有的数据量的增长,数据消费者的数量,以及他们的兴趣和地点的多样性。传统上,用户对信息源进行民意调查,但对于许多应用程序来说,民意调查几乎是不可扩展的,可能会错过重要的事件。发布/订阅系统提供的替代方案是向兴趣匹配的用户推送通知。这种方法适用于许多应用,从个人、商业、医疗到环境、军事和安全。然而,传统的发布/订阅系统越来越不适合高级应用程序,在这些应用程序中,用户希望仅在满足某些条件时才接收经过过滤、连接和汇总的信息。该项目旨在构建下一代发布/订阅系统,以应对新的挑战。pi提出了一种端到端解决方案,包括从订阅处理和索引到传播网络设计的各种技术,这些技术共同支持高效而强大的订阅功能,允许用户精确地控制他们想要的内容和他们想要的时间。将所提出的方法与以前的工作区别开来的一个主要特征是联合考虑订阅处理和通知分发。传统上,数据库和网络社区分别考虑这些问题。然而,有很多有趣的方法可以将处理与传播结合起来。pi提出了一种很有前途的方法,该方法允许通过简单的无状态传播机制来处理复杂的有状态订阅,并且具有易于实现和扩展的干净系统设计。基于成本的优化器受数据库查询优化的启发,联合动态地选择最佳的处理和传播策略。除了系统构建,该项目还解决了许多新的算法挑战,包括,例如,可扩展地处理大量复杂订阅;利用事件和订阅特性来对抗最坏情况的复杂性;传播网络设计中语义相似度与网络接近度的平衡有效地维护高维事件和订阅的统计信息。更广泛的影响:将他们在数据库和算法方面的专业知识结合在一起,pisa在彼此之间以及与计算机科学以外的研究人员合作方面有着良好的记录。该系统的一个计划应用是帮助生态学家进行环境监测。pi致力于整合研究和教育,特别是本科研究,遵循他们通过REU和部门奖学金让本科生参与的传统。在教育部的支持下,这些pi正在合作开展一项工作,以增加妇女、少数民族和残疾人的劳动力多样性。他们还参加了一个针对弱势群体的实习项目,该项目为少数族裔学生提供了与杜克大学教师一起进行带薪暑期研究的机会。项目网址:http://www.cs.duke.edu/dbgroup/prosem/
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jun Yang其他文献
High-efficiency, stable and non-chemical-doped graphene-Si solar cells through interface engineering and PMMA antireflection
通过界面工程和 PMMA 减反射实现高效、稳定、非化学掺杂的石墨烯-硅太阳能电池
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:3.9
- 作者:
Tianpeng Jiao;Dapeng Wei;Xuefen Song;Tai Sun;Jun Yang;Leyong Yu;Yanhui Feng;Wentao Sun;Wei Wei;Haofei Shi;Chenguo Hu;Chunlei Du - 通讯作者:
Chunlei Du
span style=font-family:#39;Times New Roman#39;;font-size:12pt;Dual sensitive and temporally controlled camptothecin prodrug liposomes codelivery of siRNA for high efficiency tumor therapy/span
双敏感和时间控制的喜树碱前药脂质体共递送 siRNA 用于高效肿瘤治疗
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:14
- 作者:
Yan Li;Rui-Yuan Liu;Jun Yang;Guang-Hui Ma;Zhen-Zhong Zhang;Xin Zhang - 通讯作者:
Xin Zhang
Sorption behavior of perfluorooctane sulfonate on hydrous ferric oxide from aqueous solution
全氟辛烷磺酸对水溶液中水合三氧化二铁的吸附行为
- DOI:
10.5004/dwt.2021.27270 - 发表时间:
2021 - 期刊:
- 影响因子:1.1
- 作者:
Ji Zang;Tiantian Wu;Jun Yang;Zhengxin Xie;Shisuo Fan;Jun Tang - 通讯作者:
Jun Tang
Study on the Influencing Factors of Short-Term Recovery of Neurological Symptoms after Carotid Body Tumor Resection
颈动脉体肿瘤切除术后神经症状短期恢复的影响因素研究
- DOI:
10.1007/s00268-023-07068-4 - 发表时间:
2023 - 期刊:
- 影响因子:2.6
- 作者:
Wanzhong Yuan;R. Huo;Chaofan Hou;Zhongzheng Wang;Jun Yang;Tao Wang - 通讯作者:
Tao Wang
New ouabain-conjugated peptide found from phage displayed peptide library.
从噬菌体展示肽库中发现新的哇巴因缀合肽。
- DOI:
10.1016/j.amjhyper.2004.03.669 - 发表时间:
2004 - 期刊:
- 影响因子:3.2
- 作者:
Ming;Jun Yang;Zhuo - 通讯作者:
Zhuo
Jun Yang的其他文献
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{{ truncateString('Jun Yang', 18)}}的其他基金
Modulator-free Performance-Oriented Control (MfPOC) for Direct Electric Drives
用于直接电力驱动的无调制器性能导向控制 (MfPOC)
- 批准号:
EP/W027283/1 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Research Grant
III: Small: Helping Novices Learn and Debug Relational Queries
三:小:帮助新手学习和调试关系查询
- 批准号:
2008107 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Continuing Grant
III: Small: Durability Queries in Databases
III:小:数据库中的持久性查询
- 批准号:
1814493 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Standard Grant
SPX: Enabling Scalable Synchronizations for General Purpose GPUs
SPX:为通用 GPU 启用可扩展同步
- 批准号:
1725657 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
SHF: Small: Approximate-Computing Enabled Robust 3D NAND Flash Memories
SHF:小型:支持近似计算的稳健 3D NAND 闪存
- 批准号:
1718080 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
III: Small: Collaborative Research: Towards End-to-End Computer-Assisted Fact-Checking
III:小型:协作研究:走向端到端计算机辅助事实核查
- 批准号:
1718398 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
SHF: Small: Architectural Support for Reliable ReRAM Crossbar Memory
SHF:小型:对可靠 ReRAM 交叉开关内存的架构支持
- 批准号:
1617071 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Standard Grant
III: Small: DBMS+: Management System for the Next-Generation Database
III:小型:DBMS:下一代数据库管理系统
- 批准号:
1423124 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Standard Grant
III: Medium: Collaborative Research: From Answering Questions to Questioning Answers (and Questions)---Perturbation Analysis of Database Queries
III:媒介:协作研究:从回答问题到质疑答案(和问题)——数据库查询的扰动分析
- 批准号:
1408846 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Continuing Grant
SHF: Small: A Brick in the Wall: Achieving Yield, Performance and Density Effective DRAM Beyond 22nm Technology
SHF:小型:墙上的砖:实现超越 22 纳米技术的良率、性能和密度有效 DRAM
- 批准号:
1422331 - 财政年份:2014
- 资助金额:
-- - 项目类别:
Standard Grant
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