III:Small:Transactional Data Stores in the Cloud

III：小：云中的事务数据存储

• 批准号: 1018637
• 负责人: Divyakant Agrawal
• 金额: $ 49.93万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018637&HistoricalAwards=false
• 关键词: III; Small; Transactional; Data; Stores

Cloud computing has emerged as a powerful paradigm for hosting Internet scale applications in large computing infrastructures due to their desirable features of unlimited resources and infinite scalability, pay-per-use model requiring no up-front investment, elasticity of resources, and fault-tolerance. Since one of the primary goals of the cloud is to host data-intensive applications, large-scale data management is a crucial component. Traditional relational databases have been extremely successful but lack scalability, elasticity, fault-tolerance, and self-management features that are required in cloud settings. This has led to the emergence of a new storage model referred to as the key-value store model. Although key-value stores have the desired features, they provide minimal consistency and reduced functionality due to their single-key access guarantees thus placing unprecedented burden on application developers. This project explores two alternative scalable data stores designs in the cloud -- ElasTraS: an elastic transactional data store targeted towards enterprise applications requiring a relational storage model; and G-Store: a transactional multi-key value store targeted for applications which favor the data model of key-value stores, but require consistent and scalable access beyond single keys. This project brings forth many novel research solutions for designing and implementing scalable data management systems, and acts as a building block for developing commodity solutions dealing with the growing scale of the Internet. The project enables both graduate and undergraduate students to be trained in the design and development of software and solutions for large-scale distributed systems. The project URL is available at: http://www.cs.ucsb.edu/~dsl/?q=cloud-transactions.

云计算已经成为在大型计算基础设施中托管互联网规模应用的强大范例，这是由于其具有无限资源和无限可扩展性、无需前期投资的按使用付费模式、资源弹性和容错性的理想特性。 由于云计算的主要目标之一是托管数据密集型应用程序，因此大规模数据管理是一个至关重要的组成部分。传统的关系数据库非常成功，但缺乏云环境所需的可扩展性，弹性，容错和自我管理功能。这导致了一种新的存储模型的出现，称为键值存储模型。虽然键值存储具有所需的功能，但由于它们的单键访问保证，它们提供了最小的一致性和减少的功能，从而给应用程序开发人员带来了前所未有的负担。该项目探讨了云中两种可选的可扩展数据存储设计- ElasTraS：针对需要关系存储模型的企业应用程序的弹性事务数据存储;和G-Store：针对支持键值存储数据模型的应用程序的事务多键值存储，但需要超越单个键的一致和可扩展访问。该项目为设计和实施可扩展的数据管理系统带来了许多新颖的研究解决方案，并为开发应对日益增长的互联网规模的商品解决方案提供了基础。该项目使研究生和本科生都能够接受大型分布式系统软件和解决方案的设计和开发方面的培训。该项目的网址是：http://www.cs.ucsb.edu/~dsl/? q=云交易。