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HBSD: A Hadoop Based Service Discovery Model for Enterprise Cloud Bus

机译:HBSD:用于企业云总线的基于Hadoop的服务发现模型

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Enterprise cloud bus (ECBS) is a multi-agent-based abstraction layer framework, responsible for publishing and discovery of services in an Inter-cloud environment. Our work focuses on the service discovery model (HBSD) using Hadoop that leads to the challenges of automatic web service discovery patterns. It has been observed that the RDBMS can handle only data sizes up to a few Terabytes but fails to scale beyond that, so Apache Hadoop can be used for parallel processing of massive datasets. This article provides a novel Hadoop based Service Discovery (HBSD) approach that can handle vast amount of datasets generated from heterogeneous cloud services. The novelty of the proposed architecture coordinates cloud participants, automate service registration pattern, reconfigure discover services and focus on aggregating heterogeneous services from Inter-cloud environments. Moreover, this particle states a novel and efficient algorithm (HBSDMCA) for finding the appropriate service as per user's requirements that can provide higher QoS to the user request for web services.
机译:企业云总线(ECBS)是基于多代理的抽象层框架,负责在跨云环境中发布和发现服务。我们的工作集中在使用Hadoop的服务发现模型(HBSD)上,这导致了自动Web服务发现模式的挑战。已经观察到,RDBMS只能处理最大几个TB的数据大小,但无法扩展到超过此大小,因此Apache Hadoop可用于并行处理海量数据集。本文提供了一种新颖的基于Hadoop的服务发现(HBSD)方法,该方法可以处理从异构云服务生成的大量数据集。所提出的架构的新颖性可以协调云参与者,自动化服务注册模式,重新配置发现服务并专注于聚集来自云间环境的异构服务。而且,此粒子说明了一种新颖高效的算法(HBSDMCA),用于根据用户要求查找适当的服务,该服务可以为用户的Web服务请求提供更高的QoS。

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