Abstract

There are various significant issues in cloud computing, such as service provision, service matching and service assessment, which have attracted researchersâ?? attentions recently. QoS play an increasingly important role during the procedure of cloud-based service provision for seamless and dynamic integration of cloud-service components. In this paper, we focus on the QoS-satisfied prediction for cloud-service composited components and present a QoS-satisfied prediction model based on hidden Markov model. For a general process of cloud-service provision, if the userâ??s QoS could not be satisfied only by one cloud-service component, the component composition should be considered to provide to user, where the QoS-satisfied capability of composited components need to be proactively predicted to guarantee the userâ??s QoS. We discuss the proposed model in detail and proof the model partly. The simulation results show that our model can obtain rather high prediction accuracy rate.

Highlights

  • Cloud computing is a way of referring to the use of shared computing resources, and it is an alternative to having local servers handle applications

  • Cloud service types can be abstracted into three layers: software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) [4]

  • This paper focuses on the QoS-satisfied prediction for cloud-service composited components based on hidden Markov model (HMM) and our previous work [18,19,20]

Read more

Summary

A QoS-satisfied Prediction Model for Cloud-service Composition Based on Hidden

Abstract—There are various significant issues in cloud computing, such as service provision, service matching and service assessment, which have attracted researchers’ attentions recently. QoS play an increasingly important role during the procedure of cloud-based service provision for seamless and dynamic integration of cloud-service components. We focus on the QoS-satisfied prediction for cloud-service composited components and present a QoS-satisfied prediction model based on hidden Markov model. For a general process of cloud-service provision, if the user’s QoS could not be satisfied only by one cloud-service component, the component composition should be considered to provide to user, where the QoSsatisfied capability of composited components need to be proactively predicted to guarantee the user’s QoS. We discuss the proposed model in detail and proof the model partly. The simulation results show that our model can obtain rather high prediction accuracy rate

INTRODUCTION
BASIC MODEL
Overview of Cloud-service Composition and Matching
QoS-satisfied Prediction Model
SIMULATION EXPERIMENT AND ANALYSIS
Findings
CONCLUSIONS
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call