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 57
- Downloads 0
Implementation of Multi-Agent based Digital Rights Management System for Distance Education (DRMSDE) using JADE
The main objective of Distance Education (DE) is to spread quality education regardless of time and space. This objective is easily achieved with the help of technology. With the development of World Wide Web and high-s...
Performance of window synchronisation in coherent optical ofdm system
In this paper we investigate the performances of a robust and efficient technique for frame/symbol timing synchronization in coherent optical OFDM. It uses a preamble consisting of only two training symbol with two ident...
Implementation of Location Base Service on Tourism Places in West Nusa Tenggara by using Smartphone
The study is aimed to create an application that can assist users in finding information about tourism places in West Nusa Tenggara, Indonesia. West Nusa Tenggara is one of the provinces in Indonesia and one of the secon...
Using Fuzzy Clustering Powered by Weighted Feature Matrix to Establish Hidden Semantics in Web Documents
Digital Data is growing exponentially exploding on the 'World Wide Web'. The orthodox clustering algorithms obligate various challenges to tackle, of which the most often faced challenge is the uncertainty. Web documents...
Healthcare Providers’ Perceptions towards Health Information Applications at King Abdul-Aziz Medical City, Saudi Arabia