• Tarun Sharma
• Nagaraju Bogiri

Todays, more and more businesses are shifting their workloads to cloud storage to save capital costs for building and maintaining the hardware infrastructures and avoiding managing data centers complexity. Now the cloud computing becomes commercial service to data storage and access. The CSSP (Cloud Storage Service Provider) provides data storage services in which includes Get and Put function, using this geographically distributed data centers around the world. Selection of different CSSPs datacenters and cloud customers facing two challenges, First one is how allocating data on the datacenters in worldwide to satisfy SLO (Service level objectives) requirement which includes both data availability and retrieval latency and second is how allocate reserve resources and data in the datacenters, which belongs to different CSSP to minimizing payment cost. Find out the solution of these challenges firstly, used integer programming techniques for handles cost minimization problems. Here, used three techniques for reducing service latency and payment cost first multicast-based data transferring; the second coefficient based data reallocation and third is request redirection based congestion. In this also using PPM-C (Prediction by Partial Matching-Cloud) data compression technique this helps to reduce storage cost and data transfer computing time.

Service Level Objectives, Cloud Computing, Resources Reservation, CSSP, Payment Cost Minimization, PPM-C compression, and Data Availability.

"Minimizing Payment Cost of Cloud Service Provider", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.58-66, May-2019, Available :http://www.jetir.org/papers/JETIRBO06009.pdf

"Minimizing Payment Cost of Cloud Service Provider", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp58-66, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06009.pdf