云数据库的有效性

Niraja Jain, A. Deshpande, B. Raghu, V. Khanaa
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引用次数: 3

摘要

“效用计算”的概念是1961年约翰·麦卡锡在麻省理工学院的一次演讲中提出的。他提出,在分时的基础上共享计算能力将有助于发展“将计算能力作为一种实用工具提供”的业务,这就是云计算的起源。云计算可以通过私有云、公共云或混合云基础设施向最终用户提供最好的服务。由于数据库具有重要的意义,因此它们的设计必须与正在兴起的云技术兼容。云计算已经改变了IT行业的面貌。但是在当前的场景中,有许多数据库问题没有得到解决。随着数据的巨大增长,对用于存储、管理和检索数据的技术的范式转变的需求正在等待。数据库已经从文件存储转变为关系数据库,并进一步转变为今天的云数据库。然而,在不丢失数据隐私的情况下高效地处理查询一直是最优先考虑的问题。在这个不断变化的场景中,资源优化和查询动态是主要不变的方面。查询执行的时间约束可以是缓慢的、不确定的、紧急的或瞬时的。在几乎所有的场景中,有效的存储、灵活的操作和高效的数据检索是关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effectiveness of cloud databases
‘Utility computing’ was the concept introduced by John McCarthy in 1961 in a speech given at MIT. He proposed that sharing the computing power on a time-sharing basis will help grow business of ‘providing computing power as an utility’ and this was the inception of the cloud computing. Cloud computing can deliver the best to the end users either through the private, public or hybrid cloud infrastructures. As the databases are of significance importance, it is a mandate that they ought to be designed compatible to the rising cloud technology. Cloud computing has changed the face of the IT industry. But in the current scenario there are many database issues that are not addressed. With tremendous data growth, the need for the paradigm shift in the technology to be used to store, manage and retrieve data is awaited. Databases have changed from file storages to relational databases and further transformed to today's cloud databases. Still the need to process the query efficiently without losing the data privacy had been the topmost priority. The resource optimization and query dynamism are the major unchanged aspects in this changing scenario. The timing constraints on the query execution could be leisurely, indefinite, urgent or instantaneous. In almost all the scenarios, the effective storage, elastic manipulation and efficient data retrieval is the key.
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