A QoS Metric Approach for Web Service Pertinence for the Cloud

被引:0
|
作者
Singh J. [1 ]
Dhasarathan C. [2 ]
机构
[1] Department of Computer Science & Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad
[2] Department of Computer Science & Engineering, Madanapalle Institute of Technology & Science, AP, Madanapalle
来源
Dhasarathan, Chandramohan (pdchandramohan@gmail.com) | 1600年 / Bentham Science Publishers卷 / 14期
关键词
Cloud computing; QoS; Standard & specification; Suitability; Web services;
D O I
10.2174/2666255813666200102123532
中图分类号
学科分类号
摘要
Background: Cloud computing is an emerging technology today and playing an im-portant role in providing the services through the internet. Users get enormous benefits like high accessi-bility of available application resources, faster time to market, fast development, deployment, lower start-up, operations cost and much more. Cloud offers utilizing the benefits through the web services. Objective: The degrading factors such as low Quality of Service, security factors, and less resource management in cloud lead to service suitability issue. In service-oriented computing, finding an efficient QoS based web service on the web is a very challenging task. Methods: A quality of service metric approach is proposed to identify the suitability of web services and ensuring the deployability in the cloud era. The suitability of web service is examined for its suitability cases (simple suitable, average suitable and best suitable) with respect to the quality of service attribute. Results: In the experimental setup, the suitability scores calculated with the essential non-functional quality of service attribute information are identified from the set of services. However, the verifi-cation process is expressed using the state transition diagram. Conclusion: The proposed system is simulated using JFLAP-a java package tool and the result shows the service suitability for the cloud. In this context, the efficiency of identifying service suitability for deploying in the cloud gets verified using automated theory without affecting the performance of the cloud service. © 2021 Bentham Science Publishers.
引用
收藏
页码:2130 / 2142
页数:12
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