• MOHAMMAD SAMEER KHAN
• MD. ATEEQ UR RAHMAN

Cloud-base technology is a vast technology which effectively provides services to customers for storing data over cloud and with high security on demand. Many cloud service providers have different parameters and cost estimations. It varies from county to country and content to content, it helps to store data in the cloud and there is no limit for data store but the cost will increase as data increases. In order, to overcome time difficulties we proposed a unique system called "Dominant cost-based data allocation algorithm for cost minimization" using DAR ( Dominant Resource Allocation) which helps to provide the minimum cost for customers to save files over the cloud. There are various parameters included in cloud service providers like storing, get and put request. The cost will be based on these three mentioned parameters. Our system helps to reduce customer’s time and difficulty in finding the correct cloud service provided with minimum cost. Depending upon the user request the system will calculate the cost and will help in uploading data into the cloud. There is a different data center for different regions and will be allocated to customers depending on their region. Our effective work results in finding best cloud service providers like Amazon S3, Windows Azure and Google cloud services with enhancement of our algorithms for SLO guaranteed services and customer cost minimization.

Cloud Storage, SLO, Data Availability, Customer Cost Minimization.

"A Cost Efficient Allocation Algorithm for Customer Dominant Data across Various Cloud Providers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.582-592, July-2018, Available :http://www.jetir.org/papers/JETIR1807810.pdf

"A Cost Efficient Allocation Algorithm for Customer Dominant Data across Various Cloud Providers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp582-592, July-2018, Available at : http://www.jetir.org/papers/JETIR1807810.pdf