ITR Collaborative Proposal: Aurora - Enabling Stream-Based Monitoring Applications
ITR 协作提案:Aurora - 启用基于流的监控应用程序
基本信息
- 批准号:0325525
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2003
- 资助国家:美国
- 起止时间:2003-10-15 至 2009-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
There is a host of existing and newly-emerging applications that require sophisticated and timely processing of fast, high-volume data streams. Examples of these applications include environmental monitoring, portfolio management, asset tracking, and traffic management. These applications, often referred to as monitoring applications, track data from numerous continuous data streams (coming from such sources as sensor networks and stock feeds), filtering them for signs of abnormal activity, and processing them in a timely fashion for purposes of aggregation, reduction, and correlation.Currently, monitoring applications are commonly implemented using custom, application-specific code - there is no general-purpose software infrastructure that can efficiently and effectively meet the processing and performance requirements of these applications. The project will investigate the key issues related to the design and architecture of general-purpose data-stream processing systems by developing proper abstractions, mechanisms, policies, and protocols. In particular, the project will develop novel stream-oriented languages, query execution and optimization techniques, and resource allocation algorithms. The project will also address the challenges and opportunities that arise in distributed stream processing by addressing issues such as stream-oriented load sharing, dynamic operator placement, and high availability. In both cases, the algorithms will be driven by the Quality-of-Service expectations of the target applications.
有许多现有的和新出现的应用程序需要对快速、大容量的数据流进行复杂而及时的处理。这些应用的示例包括环境监控、投资组合管理、资产跟踪和交通管理。这些应用程序通常被称为监控应用程序,它们跟踪来自众多连续数据流的数据(来自诸如传感器网络和股票馈送之类的源),针对异常活动的迹象对其进行过滤,并且为了聚合、减少和关联的目的而及时地处理它们。当前,监视应用通常使用自定义,特定于应用程序的代码-没有通用的软件基础设施可以有效地满足这些应用程序的处理和性能要求。该项目将通过开发适当的抽象、机制、策略和协议来研究与通用数据流处理系统的设计和体系结构相关的关键问题。特别是,该项目将开发新的面向流的语言,查询执行和优化技术,以及资源分配算法。该项目还将通过解决面向流的负载共享、动态操作符放置和高可用性等问题来解决分布式流处理中出现的挑战和机遇。在这两种情况下,算法将由目标应用程序的服务质量期望驱动。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Mitch Cherniack其他文献
Translating Queries into Combinators
将查询转换为组合器
- DOI:
- 发表时间:
1996 - 期刊:
- 影响因子:0
- 作者:
Mitch Cherniack - 通讯作者:
Mitch Cherniack
Improving query I/O performance by permuting and refining block request sequences
通过排列和细化块请求序列来提高查询 I/O 性能
- DOI:
10.1145/1183614.1183707 - 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Xiaoyu Wang;Mitch Cherniack - 通讯作者:
Mitch Cherniack
Inferring Function Semantics to Optimize Queries
推断函数语义以优化查询
- DOI:
- 发表时间:
1998 - 期刊:
- 影响因子:0
- 作者:
Mitch Cherniack;S. Zdonik - 通讯作者:
S. Zdonik
Building Query Optimizers with Combinators
使用组合器构建查询优化器
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Mitch Cherniack - 通讯作者:
Mitch Cherniack
Service Bus
服务总线
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
R. Topor;K. Salem;Amarnath Gupta;K. Goda;J. Gehrke;N. Palmer;Mohamed Sharaf;Alexandros Labrinidis;J. Roddick;Ariel Fuxman;Renée J. Miller;Wang;Anastasios Kementsietsidis;Philippe Bonnet;D. Shasha;R. Peikert;Bertram Ludäscher;S. Bowers;T. McPhillips;Harald Naumann;K. Voruganti;J. Domingo;Ben Carterette;Panagiotis G. Ipeirotis;M. Arenas;Y. Manolopoulos;Y. Theodoridis;V. Tsotras;B. Carminati;Jan Jurjens;E. Fernández;Murat Kantarcioglu;Jaideep Vaidya;I. Ray;A. Vakali;Cristina Sirangelo;E. Pitoura;H. Gupta;S. Chaudhuri;G. Weikum;U. Leser;D. Embley;Fausto Giunchiglia;P. Shvaiko;Mikalai Yatskevich;Edward Y. Chang;C. Parent;S. Spaccapietra;E. Zimányi;G. Anadiotis;S. Kotoulas;R. Siebes;G. Antoniou;D. Plexousakis;J. Bailey;François Bry;Tim Furche;Sebastian Schaffert;David Martin;Gregory D. Speegle;K. Ramamritham;Panos K. Chrysanthis;K. Sattler;S. Bressan;S. Abiteboul;Dan Suciu;G. Dobbie;T. Ling;Sugato Basu;R. Govindan;Michael H. Böhlen;C. Jensen;Jianyong Wang;K. Vidyasankar;A. Chan;Serge Mankovski;S. Elnikety;P. Valduriez;Yannis Velegrakis;M. Nascimento;Michael Huggett;A. Frank;Yanchun Zhang;Guandong Xu;R. Snodgrass;A. Fekete;M. Herzog;Konstantinos Morfonios;Y. Ioannidis;E. Wohlstadter;M. Matera;F. Schwagereit;Steffen Staab;K. Fraser;Jingren Zhou;M. Mokbel;W. Aref;M. Moro;Markus Schneider;Panos Kalnis;G. Ghinita;M. Goodchild;Shashi Shekhar;James M. Kang;Vijay Gandhi;N. Mamoulis;Betsy George;M. Scholl;A. Voisard;R. H. Güting;Yufei Tao;Dimitris Papadias;P. Revesz;G. Kollios;E. Frentzos;Apostolos N. Papadopoulos;B. Thalheim;J. Pehcevski;Benjamin Piwowarski;S. Theodoridis;K. Koutroumbas;George Karabatis;D. Chamberlin;P. Bernstein;Michael H. Böhlen;J. Gamper;Ping Li;K. Subieta;S. Harizopoulos;Ethan Zhang;Yi Zhang;T. Johnson;H. Jacobsen;S. Fienberg;Jiashun Jin;R. Sion;C. Paice;Nikos Hardavellas;Ippokratis Pandis;E. Rasmussen;H. Yoshida;G. Graefe;B. Reiner;K. Hahn;K. Wada;T. Risch;Jiawei Han;Bolin Ding;Lukasz Golab;M. Stonebraker;Bibudh Lahiri;Srikanta Tirthapura;Erik Vee;Yanif Ahmad;U. Çetintemel;Mitch Cherniack;S. Zdonik;M. Consens;M. Lalmas;R. Baeza;D. Hiemstra;Peer Krögerand;Arthur Zimek;Nick Craswell;C. Leung;M. Crochemore;T. Lecroq;A. Shoshani;Jimmy J. Lin;Hw Yu;D. Lomet;H. Hinterberger;Ninghui Li;Phillip B. Gibbons;Mouna Kacimi;Thomas Neumann - 通讯作者:
Thomas Neumann
Mitch Cherniack的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Mitch Cherniack', 18)}}的其他基金
III: Small: A Development Environment for Query Optimizer Engineering
III:小型:查询优化器工程的开发环境
- 批准号:
1217952 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Standard Grant
CAREER: Generating Provably Correct Query Optimizers
职业:生成可证明正确的查询优化器
- 批准号:
9984960 - 财政年份:2000
- 资助金额:
-- - 项目类别:
Continuing Grant
相似海外基金
Collaborative Proposal: ITR-SemDIS: Discovering Complex Relationships in the Semantic Web
合作提案:ITR-SemDIS:发现语义网中的复杂关系
- 批准号:
0714441 - 财政年份:2007
- 资助金额:
-- - 项目类别:
Continuing Grant
ITR Collaborative Proposal: Building Biologically Based Immune System Simulations for Education and Training
ITR 合作提案:为教育和培训构建基于生物学的免疫系统模拟
- 批准号:
0427827 - 财政年份:2004
- 资助金额:
-- - 项目类别:
Continuing Grant
ITR Collaborative Proposal: Aurora - Enabling Stream-Based Monitoring Applications
ITR 协作提案:Aurora - 启用基于流的监控应用程序
- 批准号:
0325703 - 财政年份:2003
- 资助金额:
-- - 项目类别:
Continuing Grant
ITR Collaborative Proposal: Aurora - Enabling Stream-Based Monitoring Applications
ITR 协作提案:Aurora - 启用基于流的监控应用程序
- 批准号:
0325838 - 财政年份:2003
- 资助金额:
-- - 项目类别:
Continuing Grant
Collaborative Proposal: ITR-SemDIS: Discovering Complex Relationships in the Semantic Web
合作提案:ITR-SemDIS:发现语义网中的复杂关系
- 批准号:
0325464 - 财政年份:2003
- 资助金额:
-- - 项目类别:
Continuing Grant
Collaborative Proposal: ITR-SemDIS: Discovering Complex Relationships in the Semantic Web
合作提案:ITR-SemDIS:发现语义网中的复杂关系
- 批准号:
0325172 - 财政年份:2003
- 资助金额:
-- - 项目类别:
Continuing Grant
Collaborative Proposal: ITR/AP: Modular Ocean Data Assimilation
合作提案:ITR/AP:模块化海洋数据同化
- 批准号:
0121506 - 财政年份:2002
- 资助金额:
-- - 项目类别:
Continuing Grant
ITR Collaborative Proposal: Subgroup Fault Lines in Distributed International Teams: The Impact on Cross-National Learning and Team Effectiveness
ITR 协作提案:分布式国际团队中的子群体断层线:对跨国学习和团队效率的影响
- 批准号:
0219754 - 财政年份:2002
- 资助金额:
-- - 项目类别:
Standard Grant
ITR/AP(Geo): Collaborative Proposal for First Generation Model and Data Assimilation System to Reduce Volcanic Hazards
ITR/AP(Geo):减少火山灾害的第一代模型和数据同化系统的合作提案
- 批准号:
0112694 - 财政年份:2001
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Proposal-ITR/SY: Molecular Computation with Automated Microfluidic Sensors (MCAMS)
合作提案-ITR/SY:使用自动微流控传感器(MCAMS)进行分子计算
- 批准号:
0121405 - 财政年份:2001
- 资助金额:
-- - 项目类别:
Continuing Grant