DIVE-C: Distributed-parallel Virtual Environment on Cloud Computing Platform

In-Yong Jung, Byong-John Han, Hanku Lee, C. Jeong
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引用次数: 3

Abstract

In social media services and social network services, it is necessary to collect, analyze and process their big data with low maintenance cost. Therefore, distributed-parallel data processing on cloud platform is getting spotlight as useful solution for them. In this paper, we present a new architecture of DIVE-C: DIstributed-parallel Virtual Environment on Cloud computing platform for distributed parallel data processing applications which offers a transparent virtual computing environment in order to provide a way easy to launch user’s distributed parallel applications. It hides the complexity of the cloud, and helps users to focus on their new applications and core services. DIVE-C uses agent-based resource management scheme to configure VM resources and application deployment for offering various distributed-parallel application models. VM resources are automatically provided by unified cloud management layer. Furthermore, an easy-to-use web interface of DIVE-C offers convenience to users. We implemented a prototype of DIVE-C, and its experiment results show the competitive performance of DIVE-C for dynamic resource and virtual computing environment provisioning for various data processing models.
DIVE-C:云计算平台上的分布式并行虚拟环境
在社交媒体服务和社交网络服务中,需要以低维护成本收集、分析和处理他们的大数据。因此,云平台上的分布式并行数据处理作为一种有效的解决方案正受到人们的关注。本文提出了一种基于云计算平台的分布式并行虚拟环境架构,为分布式并行数据处理应用提供了一个透明的虚拟计算环境,为用户的分布式并行应用提供了一种便捷的启动方式。它隐藏了云的复杂性,并帮助用户专注于他们的新应用程序和核心服务。div - c使用基于代理的资源管理方案来配置虚拟机资源和应用程序部署,以提供各种分布式并行应用程序模型。虚拟机资源由云统一管理层自动提供。此外,div - c易于使用的web界面为用户提供了方便。实验结果表明,在各种数据处理模型的动态资源和虚拟计算环境配置方面,div - c具有很强的竞争力。
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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