TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved quality of service-based cloud service ranking and recommendation model
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved quality of service-based cloud service ranking and recommendation model
Improved quality of service-based cloud service ranking and recommendation model
Subject
Cloud computing, Quality of service, Service ranking
Description
One of the ongoing technologies which are used by large number of
companies and users is cloud computing environment. This computing
technology has proved that it provides certainly a different level of
efficiency, security, privacy, flexibility and availability to its users. Cloud
computing delivers on demand services to the users by using various
service-based models. All these models work on utility-based computing
such that users pay for their used services. Along with the various
advantages of the cloud computing environment, it has its own limitations and problems such as efficient resource identification or discovery, security, task scheduling, compliance and sustainability. Among these resource identification and scheduling plays an important role because users always submits their jobs and expects responses in least possible time. Research is happening all around the world to optimize the response time, make span so as to reduce the burden on the cloud resources. In this paper, QoS based service ranking model is proposed for cloud computing environment to find the essential top ranked services. Proposed model is implemented in two phases. In the first phase, similarity computation between the users and their services is considered. In the second phase, computing the missing values based on the computed similarity measures is calculated. The efficiency of the proposed ranking is measured and the average precision correlation of the proposed ranking measure is showing better results than the existing measures.
companies and users is cloud computing environment. This computing
technology has proved that it provides certainly a different level of
efficiency, security, privacy, flexibility and availability to its users. Cloud
computing delivers on demand services to the users by using various
service-based models. All these models work on utility-based computing
such that users pay for their used services. Along with the various
advantages of the cloud computing environment, it has its own limitations and problems such as efficient resource identification or discovery, security, task scheduling, compliance and sustainability. Among these resource identification and scheduling plays an important role because users always submits their jobs and expects responses in least possible time. Research is happening all around the world to optimize the response time, make span so as to reduce the burden on the cloud resources. In this paper, QoS based service ranking model is proposed for cloud computing environment to find the essential top ranked services. Proposed model is implemented in two phases. In the first phase, similarity computation between the users and their services is considered. In the second phase, computing the missing values based on the computed similarity measures is calculated. The efficiency of the proposed ranking is measured and the average precision correlation of the proposed ranking measure is showing better results than the existing measures.
Creator
Sirisha Potluri, Katta Subba Rao
Source
DOI: 10.12928/TELKOMNIKA.v18i3.11915
Publisher
Universitas Ahmad Dahlan
Date
June 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Sirisha Potluri, Katta Subba Rao, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Improved quality of service-based cloud service ranking and recommendation model,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/3757.
Improved quality of service-based cloud service ranking and recommendation model,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/3757.