GridDB-Lite: Database Support for Data-Driven Scientific Applications in the Grid

GridDB-Lite：网格中数据驱动科学应用程序的数据库支持

• 批准号: 0330612
• 负责人: Joel Saltz
• 金额: $ 40.3万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-01 至 2006-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0330612&HistoricalAwards=false
• 关键词: GridDB; Lite; Database; Support; Data

The purpose of this project is to develop a middleware framework to enable efficient execution of queries for extracting the data of interest from large scientific datasets in a distributed environment. The project will develop and evaluate a middleware infrastructure, Grid Database-Lite (GridDB-Lite), to support the following basic database operations in the Grid: selection of the data of interest from datasets distributed among disparate storage systems; and transfer of data from storage systems to compute nodes for processing. The architecture will leverage two developed frameworks: Active Data Repository and DataCutter. The project will also: design a framework to incorporate an object-relational model for querying scientific datasets; develop algorithms for efficient; examine methods for indexing and declustering of large datasets in a distributed environment; and develop and evaluate algorithms for efficient transfer of selected subsets of datasets from distributed storage clusters to processor memories or disks on destination compute clusters.Broader impact and Intellectual merit - This research project proposes to address issues that pertain to a key step in large scale data analysis, which is the extraction of the data of interest from large, distributed datasets. As dataset sizes continue to grow, an efficient solution to this step will be increasingly important to wide-scale deployment of data analysis in the Grid. This project will also have a significant impact on teaching and human resource development. As part of the curriculum in the Biomedical Informatics Department, the proposers will offer a course (BMI731) on large-scale data management and manipulation. This course exposes students in biomedical informatics to grid technologies, and enables computer scientists to discover new data-intensive grid applications. Students in this course will gain experience with GridDB-Lite and will be exposed to application development. A majority of funds in this project will be used to support Ph.D students, and to train them to make long-term research contributions in computer science.

该项目的目的是开发一个中间件框架，以有效地执行查询，以从分布式环境中从大型科学数据集中提取感兴趣的数据。该项目将开发和评估中间软件基础架构，网格数据库lite（griddb-lite），以支持网格中的以下基本数据库操作：从分布在不同存储系统中分布的数据集中的数据集选择；并将数据从存储系统传输到计算用于处理的节点。 该体系结构将利用两个开发的框架：活动数据存储库和数据库。该项目还将：设计一个框架，以合并一个用于查询科学数据集的对象相关模型；开发算法以提高效率；检查在分布式环境中大型数据集索引和解释的方法；并开发和评估算法，以有效地传输数据集从分布式存储群集到处理器的记忆或目的地计算集群上的磁盘的有效传输算法。Boader的影响和知识分子优点 - 该研究项目建议解决与大规模数据分析中的关键步骤有关的问题，这是从大规模数据分析中提取了来自大型数据的数据，该数据是从大型数据中提取的，该数据是从大型数据中提取的，该数据是从大型数据分析中提取的。随着数据集大小的不断增长，对这一步骤的有效解决方案对于网格中数据分析的大规模部署将变得越来越重要。 该项目还将对教学和人力资源开发产生重大影响。作为生物医学信息学部门课程的一部分，建议者将提供有关大规模数据管理和操纵的课程（BMI731）。本课程使学生了解网格技术的生物医学信息学，并使计算机科学家能够发现新的数据密集型网格应用程序。本课程的学生将获得GridDB-Lite的经验，并将接触到应用程序开发。该项目中的大多数资金将用于支持博士学位学生，并培训他们在计算机科学方面做出长期研究贡献。