EAGER: Designing Infrastructure to Probe Distributed System Configurations
EAGER:设计基础设施来探测分布式系统配置
基本信息
- 批准号:2011252
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-06-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Cyber systems depend on a number of parameters to configure the system properly. Incorrect setting of these parameters is known to be responsible for an overwhelming percentage of failures, poor service, and exploitation by hackers for cyberattacks. At the same time, diagnosing misconfigurations is a slow, largely manual process that routinely takes days or weeks because of poor understanding of the relationship between configuration parameters and system's response and interdependencies between the parameters. This project explores the capabilities required to automatically compose tests, run them, collect data, and analyze it to simplify the job of finding the root cause of the problem.The project will build basic diagnosability capabilities in some commonly used services in the data center including domain name service, routing, and active directory along with suitable access control. The project will also explore how the diagnosis goals can be specified at a high-level and translated into a graph of basic tests connected via input-output relationships and further limited by access permissions, and probing locations. The diagnosis infrastructure will build and run the test, collect data and provide a systematic way of analyzing the data to isolate the problematic hardware/software components as much as possible so as to substantially accelerate the testing and root cause analysis. The infrastructure will also provide capabilities to store, rank, and reuse designed tests to make them more effective over time. The infrastructure built under this project is expected to substantially reduce the cost, time, and effort for diagnosing the systems via automation of many aspects of the diagnosis. If successful, the approach can be applied to emerging cyber-physical systems where misconfiguration problems are likely to be even more critical in nature. The project will enhance existing open-source software with basic diagnosability and develop additional software for building and running complex tests, introducing errors, and collecting/analyzing the results. The software and the data will be stored in a local archival system at Temple and will be preserved for at least three years beyond the award period. The data will be linked through the project webpage located at http://www.kkant.net/diagnosisThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
网络系统取决于许多参数以正确配置系统。众所周知,这些参数的不正确设置是造成故障,服务不佳和黑客剥削网络攻击的压倒性的原因。同时,诊断错误配置是一个缓慢的手动过程,由于对配置参数与系统响应之间的关系和参数之间的相互依存关系的关系不足,因此通常需要几天或几周。 该项目探讨了自动撰写测试,运行,收集数据并进行分析所需的功能,以简化查找问题的根本原因的工作。该项目将在数据中心的某些常用服务中建立基本的诊断性功能,包括域名服务,路由,路由和活动目录以及适当的访问控制。 该项目还将探讨如何在高级诊断目标中指定诊断目标,并转化为通过输入输出关系连接的基本测试图,并进一步受访问权限和探测位置的限制。 诊断基础架构将构建和运行测试,收集数据并提供一种系统的分析数据,以尽可能多地隔离有问题的硬件/软件组件,以实质上加速测试和根本原因分析。基础架构还将提供存储,排名和重用设计测试的功能,以使其随着时间的流逝而更加有效。预计在该项目下建立的基础设施将大大减少通过自动化诊断的许多方面来诊断系统的成本,时间和精力。如果成功的话,该方法可以应用于新兴的网络物理系统,在这种系统中,错误的配置问题可能在本质上更为至关重要。该项目将通过基本的诊断性增强现有的开源软件,并开发其他软件来构建和运行复杂的测试,引入错误以及收集/分析结果。该软件和数据将存储在Temple的本地档案系统中,并将在奖励期内保存至少三年。 数据将通过位于http://www.kkant.net/diagnosisthis This Award的项目网页链接,反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响来通过评估来支持的。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Automated Configuration for Agile Software Environments
- DOI:10.1109/cloud55607.2022.00074
- 发表时间:2022-07
- 期刊:
- 影响因子:0
- 作者:Negar Mohammadi Koushki;Sanjeev Sondur;K. Kant
- 通讯作者:Negar Mohammadi Koushki;Sanjeev Sondur;K. Kant
Performance Health Index for Complex Cyber Infrastructures
复杂网络基础设施的性能健康指数
- DOI:10.1145/3538646
- 发表时间:2022
- 期刊:
- 影响因子:0.6
- 作者:Sondur, Sanjeev;Kant, Krishna
- 通讯作者:Kant, Krishna
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Krishna Kant其他文献
AIM-BLAST-AJAX Interfaced Multisequence Blast
AIM-BLAST-AJAX 接口多序列 Blast
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
G. Aravindhan;R. S. Kumar;K. Subha;T. K. Subazini;A. Dey;Krishna Kant;G. Ramesh Kumar - 通讯作者:
G. Ramesh Kumar
Reduction of look up latency in location-aware clusters of large-scale P2P overlay networks
减少大规模 P2P 覆盖网络的位置感知集群中的查找延迟
- DOI:
10.1109/tencon.2008.4766526 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
R. R. Rout;Krishna Kant - 通讯作者:
Krishna Kant
Glycerol-silica/chitosan conjugated self-assembled nano-flower framework for <em>Herstulla thompsoni</em> delivery with effectiveness in natural settings: Optimization and pilot scale production
- DOI:
10.1016/j.ijbiomac.2024.137476 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:
- 作者:
Smriti Kala;Chetan Jawle;Mangesh AshokRao Pande;Amrish Agarwal;Krishna Kant;B.K. Mishra;Mukesh Kumar Singh;L.K. Takhur - 通讯作者:
L.K. Takhur
NeSt: A QoS differentiating end-to-end networked storage simulator
- DOI:
10.1016/j.comnet.2024.110833 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:
- 作者:
Jit Gupta;Sourav Das;Krishna Kant - 通讯作者:
Krishna Kant
On the interconnect energy efficiency of high end computing systems
- DOI:
10.1016/j.suscom.2012.03.002 - 发表时间:
2013-06-01 - 期刊:
- 影响因子:
- 作者:
Muthukumar Murugan;David Hung Chang Du;Krishna Kant - 通讯作者:
Krishna Kant
Krishna Kant的其他文献
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{{ truncateString('Krishna Kant', 18)}}的其他基金
EAGER: Nonintrusive Engagement and Posture Detection in Virtual Classroom Environments
EAGER:虚拟教室环境中的非侵入式参与和姿势检测
- 批准号:
2333611 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
EAGER: Exploring Magnetic Communications for Challenging Environments
EAGER:探索具有挑战性的环境的磁通信
- 批准号:
1844944 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
EAGER: Magnetic Induction Based Communications for Fresh Food Distribution Monitoring
EAGER:基于磁感应的通信,用于生鲜食品配送监控
- 批准号:
1744187 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
BDD: Dynamic Evolution of Smart-Phone Based Emergency Communications Network
BDD:基于智能手机的应急通信网络的动态演进
- 批准号:
1461932 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
INSPIRE: Exploiting Cross-Disciplinary Synergies For Efficient Perishable Commodity and Information Distribution
INSPIRE:利用跨学科协同作用实现高效的易腐烂商品和信息分发
- 批准号:
1542839 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CPS: Breakthrough: Collaborative Research: Securing Smart Grid by Understanding
CPS:突破:协作研究:通过理解保护智能电网
- 批准号:
1544904 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CSR: Small: Collaborative Research: Multi-party Collaborative Data Access
CSR:小:协作研究:多方协作数据访问
- 批准号:
1527346 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
I/UCRC Phase II: Center on Intelligent Storage
I/UCRC二期:智能存储中心
- 批准号:
1439672 - 财政年份:2014
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
CSR: Small: Collaborative Research: Software Defined Energy Adaptation in Large Scale Data Centers
CSR:小型:协作研究:大型数据中心的软件定义能源适应
- 批准号:
1422921 - 财政年份:2014
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CNS: Collaborative Research: EAGER: From Computer Networks to Food Networks
CNS:合作研究:EAGER:从计算机网络到食品网络
- 批准号:
1414509 - 财政年份:2014
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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