Performance Evolution of Task Mapping Algorithm to Minimize Resource Cost & Computational Performance |
Author(s): |
| Reema Handa , SSGI,Shahpur,Yamuna Nagar(Haryana), India; Amit Sehgal, SSGI,Shahpur,Yamuna Nagar(Haryana), India |
Keywords: |
| Cloud Computing, Task Mapping Algorithm |
Abstract |
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Cloud Computing is a highly emerging technology which host and deliver internet Services. The power of Cloud Computing is driven by many data centre installed in hundreds to thousands of servers. Due to the increase in clients for cloud services and increasing demand for computing resources, the size and complexity of today’s data centre are growing rapidly. This paper evaluates VM cost, DC cost, data center processing time on various approaches, comparative analysis of different service broker policies like Optimize Response Time and Reconfigure Dynamically Policies. The simulated results provided in this paper are based on the Throttled and Equally Spread Load Balancing policies when applied on different service broker policies to estimate response time and data center processing time. |
Other Details |
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Paper ID: IJSRDV5I41428 Published in: Volume : 5, Issue : 4 Publication Date: 01/07/2017 Page(s): 1404-1408 |
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