对云异构数据集成模型的介绍和验证

D. Tripathi, N. K. Joshi
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引用次数: 0

摘要

在越来越多的企业转向云计算的今天,人们期望云的种类、数量和速度能够满足人们的期望。尽管大数据中心和最新技术已经处理了大量的数据,但是在云上集成异构数据的问题仍然存在。本文以静态数据的安全性为重点,提出了一种集成云上异构数据的模型。该模型基于面向服务的计算,因为服务基于互操作性和松耦合的基本特征。该模型的不同层处理云上数据解释的各个方面。客户端层为客户端提供接口,处理基本的请求和响应参数。服务目录层由用于数据集成和加密的不同服务组成,云数据层以统一的格式保存实际数据。本文旨在为云上异构数据集成问题和静态数据安全提供一种解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards introducing and verifying heterogeneous data integration model for cloud
In today's scenario when more and more enterprises are shifting towards cloud computing, the variety volume and velocity of the cloud is expected to cope up to the expectations. Although big data centers and latest technologies have handled huge volumes of data but still the problem of integrating heterogeneous data on the cloud persists. This paper proposes a model for integrating heterogeneous data on the cloud focusing on the security of data at rest. The model is based on service oriented computing, as services are based on fundamental features of interoperability and loose coupling. The different layers of the proposed model deal with various aspects of data interpretation on cloud. The client layer provides interface to the client and works on basic request and response parameters. The service inventory layer comprises of different services working on integration and encryption of data and the cloud data layer holds the actual data in uniform format. The paper aims to provide a solution to the heterogeneous data integration problem on cloud and data security at rest.
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