HBSD

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Information Technology and Web Engineering Pub Date : 2019-07-01 DOI:10.4018/ijitwe.2019070103

G. Khan, A. Sarkar, S. Sengupta

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引用次数: 2

Abstract

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.

查看原文本刊更多论文

企业云总线(ECBS)是一个基于多代理的抽象层框架，负责在云间环境中发布和发现服务。我们的工作重点是使用Hadoop的服务发现模型(HBSD)，这导致了自动web服务发现模式的挑战。据观察，RDBMS只能处理几tb的数据，但无法扩展到更大的数据，因此Apache Hadoop可以用于并行处理大量数据集。本文提供了一种新颖的基于Hadoop的服务发现(HBSD)方法，它可以处理从异构云服务生成的大量数据集。提出的体系结构的新颖之处是协调云参与者、自动化服务注册模式、重新配置发现服务，并专注于聚合来自云间环境的异构服务。此外，该粒子还提出了一种新颖而高效的算法(HBSDMCA)，用于根据用户的需求寻找合适的服务，可以为用户对web服务的请求提供更高的QoS。

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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来源期刊

International Journal of Information Technology and Web Engineering COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： Organizations are continuously overwhelmed by a variety of new information technologies, many are Web based. These new technologies are capitalizing on the widespread use of network and communication technologies for seamless integration of various issues in information and knowledge sharing within and among organizations. This emphasis on integrated approaches is unique to this journal and dictates cross platform and multidisciplinary strategy to research and practice.