Abstract

The aim of this paper is to create an optimal and cost effective load balancing strategy based on the QOS specified by the user which has been included as SLA in the request sent by the user to the Service provider. Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications. When a user wants to store his or her files in the cloud initially they need to select a cloud service provider to use the providers storage area. Storage cloud belongs to Iaas cloud. We consider the scenario that no VM should be overloaded and at the same time no VM should be idle. For this the data file sent by the user is not stored as a whole file instead it is split into smaller files and distributed among the available VM for storage. This paper mainly focuses on QOS parameters like reliability, stability and the overall throughput.

Highlights

  • Cloud computing refers to the delivery of computing resources over the Internet

  • All these factors increased the popularity of cloud computing The services are broadly divided into three categories Infrastructure-as a Service (IaaS), Platform as a Service (PaaS) and Software-as a Service (SaaS)

  • IaaS is the common cloud service type. This is because infrastructure is costlier than other services and cloud can play an important role in reducing the infrastructure costs through the provisioning of the IaaS

Read more

Summary

Introduction

Instead of keeping data on your own hard drive or updating applications for your needs, you use a service over the Internet, at another location, to store your information or use its applications. Cloud computing is the combination of two characteristics, flexibility and scalability (Armbrust et al, 2009). Cloud computing provides flexibility and scalability by providing heterogeneous resources to the users (Rimal et al, 2009). Physical host server will allocate memory, disk and other resources to different VMs deployed on them. IaaS is the common cloud service type.

Objectives
Methods
Results
Conclusion
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

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.