The future of database services: Cloud database

Niraja Jain
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引用次数: 3

Abstract

Databases are the core of all the business services that are offered online. Cloud computing has drastically changed the way these online services are being offered. Hence it is of significance importance that the databases need to be compatible with cloud computing. The data is growing enormously with every passing day. With the paradigm shift in the technology used to store, manage and retrieve the data from file storage to relational databases to today's cloud databases, the need to process the query efficiently while preserving the privacy had always been the priority. The dynamism of the query and the optimization of the resources used for query execution are the aspects that doesn't change in any situation. The timing constraint on the query execution could be either instantaneous, urgent, leisurly or indefinite. But in almost all the scenarios the effective storage, manipulation and data retrieval is the key. While retrieving the data stored in cloud, privacy preservation is of utmost importance. To improve query efficiency in cloud with preserving the privacy can be achieved by introducing dataflow optimization techniques and defining data descriptor based algorithms.
数据库服务的未来:云数据库
数据库是所有在线提供的业务服务的核心。云计算彻底改变了这些在线服务的提供方式。因此,数据库需要与云计算兼容是非常重要的。数据每天都在急剧增长。随着用于存储、管理和检索从文件存储到关系数据库到今天的云数据库的数据的技术的范式转变,在保持隐私的同时高效地处理查询的需求一直是优先考虑的问题。查询的动态性和用于查询执行的资源的优化是在任何情况下都不会改变的方面。查询执行的时间约束可以是瞬时的、紧急的、缓慢的或不确定的。但在几乎所有的场景中,有效的存储、操作和数据检索是关键。在检索存储在云中的数据时,隐私保护是至关重要的。通过引入数据流优化技术和定义基于数据描述符的算法,可以在保护隐私的前提下提高云中的查询效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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