FIPA‐based reference architecture for efficient discovery and selection of appropriate cloud service using cloud ontology,International Journal of Communication Systems

当前位置： X-MOL 学术 › Int. J. Commun. Syst. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

FIPA‐based reference architecture for efficient discovery and selection of appropriate cloud service using cloud ontology
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-12 , DOI: 10.1002/dac.4504
Ghulam Abbas ₁ , Amjad Mehmood _{2,

3} , Jaime Lloret _{4,

5} , Muhammad Summair Raza ₁ , Muhammad Ibrahim ₁

Affiliation

Cloud computing is considered the latest emerging computing paradigm and has brought revolutionary changes in computing technology. With the advancement in this field, the number of cloud users and service providers is increasing continuously with more diversified services. Consequently, the selection of appropriate cloud service has become a difficult task for a new cloud customer. In case of inappropriate selection of a cloud services, a cloud customer may face the vendor locked‐in issue and data portability and interoperability problems. These are the major obstacles in the adoption of cloud services. To avoid these complexities, a cloud customer needs to select an appropriate cloud service at the initial stage of the migration to the cloud. Many researches have been proposed to overcome the issues, but problems still exist in intercommunication standards among clouds and vendor locked‐in issues. This research proposed an IEEE multiagent Foundation for Intelligent Physical Agent (FIPA) compliance multiagent reference architecture for cloud discovery and selection using cloud ontology. The proposed approach will mitigate the prevailing vendor locked‐in issue and also alleviate the portability and interoperability problems in cloud computing. To evaluate the proposed reference architecture and compare it with the state‐of‐the‐art approaches, several experiments have been performed by utilizing the commonly used performance measures. Analysis indicates that the proposed approach enables significant improvements in cloud service discovery and selection in terms of search efficiency, execution, and response time.

中文翻译：

基于FIPA的参考架构，可使用云本体有效地发现和选择适当的云服务

云计算被认为是最新的新兴计算范例，并带来了计算技术的革命性变化。随着这一领域的进步，云用户和服务提供商的数量随着服务的多样化而不断增加。因此，对于新的云客户而言，选择合适的云服务已成为一项艰巨的任务。如果选择了不适当的云服务，则云客户可能会遇到供应商锁定问题以及数据可移植性和互操作性问题。这些是采用云服务的主要障碍。为了避免这些复杂性，云客户需要在迁移到云的初始阶段选择适当的云服务。已经提出了许多研究来克服这些问题，但是云之间的互通标准和供应商锁定问题仍然存在问题。这项研究为使用云本体的云发现和选择提出了IEEE多代理智能物理代理（FIPA）合规性多代理参考体系结构。拟议的方法将缓解当前的供应商锁定问题，并缓解云计算中的可移植性和互操作性问题。为了评估建议的参考体系结构并将其与最新方法进行比较，通过利用常用的性能指标进行了几次实验。分析表明，提出的方法可以在搜索效率，执行和响应时间方面显着改善云服务发现和选择。

更新日期：2020-07-12

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11