CDM Server: A Data Management Framework for Data Intensive Application in Internal Private Cloud Infrastructure

T. Somasundaram, K. Govindarajan, V. Venkateswaran, R. Radhika, V. Venkatesh
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引用次数: 1

Abstract

The idea of cloud computing has been evolving over the years, towards the direction that best suits the perpetual needs of organizations. The majority of organizations have started to house their own Internal private cloud, rather than relying on third party private clouds for wide range of reasons. Development of an internal private cloud has to overcome a wide range of challenges to match the performance of public cloud solutions. The major challenge is the development of a framework for efficient data management for processing the Big Data for data intensive applications in this private cloud infrastructure. We have proposed a data management framework called CDM server which handles these data management challenges effectively. The CDM server provides a platform with the key requirements of cloud, namely increased scalability, Big Data handling, maximizing cluster utilization and performing capital scheduling of data intensive jobs.
CDM服务器:内部私有云基础设施中数据密集型应用的数据管理框架
多年来,云计算的概念一直在朝着最适合组织永久需求的方向发展。由于各种原因,大多数组织已经开始部署自己的内部私有云,而不是依赖第三方私有云。内部私有云的开发必须克服各种各样的挑战,才能与公共云解决方案的性能相匹配。主要的挑战是开发一个有效的数据管理框架,用于处理私有云基础设施中数据密集型应用程序的大数据。我们提出了一个名为CDM服务器的数据管理框架,它可以有效地处理这些数据管理挑战。CDM服务器提供了一个满足云计算关键需求的平台,即增强的可扩展性、大数据处理、最大化集群利用率以及对数据密集型作业进行资本调度。
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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