Predictive Method for Service Composition in Heterogeneous Environments within Client Requirements
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
Cloud computing is a new delivery model for Information Technology services. Many actors and parameters play an important role in provisioning of dynamically elastic and virtualized resources at the levels of infrastructures, platforms, and softwares. Nowadays, many cloud services are competing and present often similar offers. From the customer side, it is not always easy to select a suitable service according to customer requirements and cloud services scoring. In a real-world scenario, this is more complicated since service scoring may change over time. Besides this, it interferes with many parameters such as hardware, network infrastructure, customer demand, etc. To tackle this issue, this research work presents a novel approach for the prediction of the future score of any service in order to satisfy user requirements when executing service composition in cloud environments. This approach deals with regression techniques in order to predict the expected future offer of service based on sampling service’s history as well as user expectations.
Authors and Affiliations
Saleh M. Altowaijri
Keywords
Related Articles
- EP ID EP596772
- DOI 10.14569/IJACSA.2019.0100633
- Views 69
- Downloads 0
Eyes Based Eletric Wheel Chair Control System- - I (eye) can control Electric Wheel Chair -
Eyes base Electric Wheel Chair Control: EBEWC is proposed. The proposed EBEWC is controlled by human eyes only. Therefore disabled person can control the EBEWC by themselves. Most of the computer input system...
An Investigation of Analytic Decision During Driving Test
To examine the long-term causality between Cardiorespiratory Electromyography Galvanic signals for 17 drivers taken from Stress Recognition in Automobile Drivers database. Methods: Two statistical methods, co-integration...
Retrieval of Images Using DCT and DCT Wavelet Over Image Blocks
This paper introduces a new CBIR system based on two different approaches in order to achieve the retrieval efficiency and accuracy. Color and texture information is extracted and used in this work to form the feature ve...
Smart Rubric-based Systematic Model for Evaluating and Prioritizing Academic Practices to Enhance the Education Outcomes
Recently, the impact of free-market economy, globalization, and knowledge economy has become a challenging and focal to higher educational institutions, which resulted in radical change. Therefore, it became mandatory fo...
A Comparative Study of Classification Algorithms using Data Mining: Crime and Accidents in Denver City the USA
In the last five years, crime and accidents rates have increased in many cities of America. The advancement of new technologies can also lead to criminal misuse. In order to reduce incidents, there is a need to understan...