Abstract
Background: Cloud computing is an emerging technology today and playing an important role in providing the services through the internet. Users get enormous benefits like high accessibility of available application resources, faster time to market, fast development, deployment, lower startup, 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 verification 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.
Keywords: QoS, web services, cloud computing, suitability, standard & specification.
Graphical Abstract
Call for Papers in Thematic Issues
?The New Era of Computational Intelligence: Big Data Applications in Health Care?
Analyzing healthcare data has remained a tedious task for data analysts in the current age of research due the nonlinear nature of data. With data sources multiplying and their complexity rising, the most common challenge for medical analysts today is obtaining relevant data for those that need it. The challenge ...read more
Advanced Applications of Artificial Intelligence in Manufacturing Technologies
As one of the most advanced fields of study and technology in existence today, artificial intelligence (AI) is finding more and more applications in production and daily life, especially in the industrial sector. This showcases the many applications of AI in mechanical production, including but not limited to: improving worker ...read more
Advancements in AI and Machine Learning for Enhanced Computer Vision Applications
This special thematic issue is meticulously crafted to provide an extensive exploration of the intricate interplay between Artificial Intelligence (AI) and Machine Learning (ML) within the expansive domain of Computer Vision. The scope of this issue is ambitiously designed to cover a diverse range of topics, incorporating cutting-edge research, advanced ...read more
Advancing Computer Vision and Multimedia Communication for Seamless Human-Machine Interaction
The rapid advancements in computer vision and multimedia communication technologies are revolutionizing the way humans interact with machines. These technologies have the potential to enable seamless and natural human-machine interaction, creating new possibilities for communication, collaboration, and entertainment. The findings will have a significant impact on the development of new ...read more
Related Books
IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications
AIoT and Big Data Analytics for Smart Healthcare Applications
Research Trends in Artificial Intelligence: Internet of Things
Artificial Intelligence and Multimedia Data Engineering
Basics of Python Programming: A Quick Guide for Beginners
Blockchain Technology in Healthcare - Concepts, Methodologies, and Applications
Artificial Intelligence and Knowledge Processing: Methods and Applications
Handbook of Artificial Intelligence
Amazon Web Services: the Definitive Guide for Beginners and Advanced Users
The Role of AI in Enhancing IoT-Cloud Applications
12