A Recommendation System for Cloud Services Selection Based on Intelligent Agents

Abid Mahmood,M Shahzad Sarfraz,Umar Shoaib

doi:10.17485/ijst/2018/v11i9/119843

Abstract

Objectives: To provide a recommendation system for cloud services selection based on intelligent agents. Methods/ Statistical Analysis: There have been many assortments of research, frameworks, and systems that discussed in many kinds of literature for selection of most advantageous service to fulfill the requirements of consumers. QoS parameters in addition to cloud service related QoS parameters have been used, but an agent-based cloud computing system has been introduced now that facilitate the CSS for better usage and service for the consumer. In this study, we proposed a service selector system on computer trust merit of the cloud purveyor. In previous studies, the authors had used the QoS model to solve the problem of cloud service vendor selection in multidimensional technique but this was not practically approachable. But we implement the multi-agent system (MAS) approach where one agent is liable to intermingle with the client for unambiguous service. MAS have very supple and self-directed nature, due to this quality MAS is the very authentic approach for users. Findings: In this proposal a selection and recommendation methodology implemented using multi-agents paradigm, has been proposed that recommends the most aspirant service from similar grouped services. The experimental output confirms that the proposed methodology can effectively select an optimal required service for end users. Cloud computing system with the help of multi-agents offer better agent-based intelligent cloud solutions for complex computational tasks. Application/Improvements: Multi-agents can be employed as key components for the selection and recommendation of intelligent cloud applications, making cloud infrastructure more autonomous, adaptive, and flexible in resources management, services provisioning and in running large-scale applications. Keywords: Cloud Service Selection, Intelligent Agents, MAS

Highlights

Clouds are defined as a computing system where users are connected to wide range of inter-linked distributed computing nodes to utilize the cloud shared resources or services.[1]
The author introduced the idea of integrated Quality of Service (QoS) model to solve the problem of cloud service vendor selection by using a multi-dimensional QoS technique to evaluate the available services and recommend the cloud service searcher the best service.[6]
We proposed a service selector system and we concluded that multi-agent system (MAS) is practically applicable to solve the problems of cloud service vendor selection in multidimensional techniques

Summary

Introduction

Clouds are defined as a computing system where users are connected to wide range of inter-linked distributed computing nodes to utilize the cloud shared resources or services.[1] Data and all other computing resources are available somewhere out there in interlinked nodes instead of local space of the connected user, local warehouse or repository.[2] Clouds provide an on-demand access to ultra-supercomputing power to its user This user can be any computing entity like PC, laptop, mobile or any embedded device able to connect to Clouds.[3,4] Cloud computing systems deliver adaptable and flexible services with high performance and ultra-scalable data storage to a very large number of users.[1]. In the step, the recommender agent will suggest the most appropriate services after comparing the criteria of the customer which is searching for an optimal service to use.[3]

Objectives

Methods

Discussion

Conclusion