Multiple Optimization Services in Cloud Computing for Customers
S. Renuka1, N. Suresh Kumar2, Y. Sri Lalitha3
1S. Renuka, Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
2N. Suresh Kumar, Assistant Professor, GITAM Institute of technology, Visakhapatnam, India
3Y. Sri Lalitha, Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 3376-3381 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3087058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a unique multi way model for reducing the cost of cloud services to the customer. The producers are usually providing buyers cloud computing varied info systems services. The cloud services comprise totally different functionalities at varied prices, and varied responsibility. Thus the customer’s main motto (based on the literature) is to increase the usage and decrease their prices and issues. Since usage price and issues are totally different dimensions, downside the matter is actually a multi-objective improvement problem. The existing one doesn’t address the multi model nature. It deals with meeting all the requirements of customer. Associate improvement model conferred and illustrated. The article conjointly demonstrates the benefits gained by the improvement model once enforced exploitation the dynamic cloud design over the normal cloud design.
Index Terms: Cloud Computing, Optimization, Dynamic CC Design, Delivery Models, Price, Utility, Risk
Scope of the Article: Cloud Computing,