成本优化:云存储与本地存储的对比

Rajesh Sen, Akrati Sharma
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引用次数: 0

摘要

在当今的数字化世界中,最重要的对象是数据。有许多可用于检索数据的技术。为了长时间存储这些数据,需要使用各种数据硬件(DHW)。随着数据的日益增长,存储数据的成本也越来越高。数据扩散是指政府和非政府机构以结构化或非结构化格式创建的大量数据。为了最大限度地减少数据扩散所产生的维护成本,可以实现IaaS作为云计算服务。IaaS可以被看作是一种虚拟化服务,可以通过云供应商向用户提供“即服务”。它提供了对数据库资源的按需访问。用户可以对资源池中的资源“按使用付费”,这些资源可以在基于云的环境中虚拟化。访问虚拟化资源的方法有多种。私有云方法通常用于维护数据的完整性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Cost: Storage over Cloud Versus on Premises Storage
In today’s world of digitalization the most important object is data. There are numerous techniques available for retrieval of the data. To store this data over a large period of time various data hardware (DHW) are used. As the data is increasing day by day the more cost is incurred in storing the data. Data proliferation is the term used to refer the large amount of data that is created by government and nongovernment institutions either in structured or unstructured format. To minimize the maintenance cost generated by data proliferation IaaS as cloud computing service can be implemented. IaaS can be considered as virtualized service, which can be used to provide ‘as a service’ to the users via cloud vendors. It provides the access of database resources on demand. One can ‘pay-as-per-use’ of resource from the pool of resources and these resources can be virtualized in cloud based environment. To access the virtualized resources there are various approaches used. Private cloud approach is commonly used to maintain the integrity of the data.
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