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Automated Performance Monitoring and Optimization Method for Cloud Data Centre |
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PP: 97-106 |
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doi:10.18576/amis/13S109
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Author(s) |
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A. Poobalan,
N. Uma Maheswari,
K. Khaja Mohideen,
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Abstract |
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| Data centres are the integral part of the cloud computing which makes the enterprises invest less in their infrastructure. The multi-tenant nature of the cloud also adds value to this. Data is handled more efficiently with the advanced technologies in terms of infrastructure and network communication. With all these facilities, monitoring of the performance of the data centre is an essential task. This is also addressed by cloud computing through various methodologies. Differences in type of servers, user requests and capability of storage are the various factors that have their influence in handling of data and users. A model has been designed based on queuing theory. This model addresses the performance issue and also optimizes it. It follows a multi-tenant queue. The parameters that are considered and optimized are workload, response time, utilization of the resource, capability of serving resource at zero time, reservation of resources in advance and the number of users who are served. The tools provided by oracle such as automated workload reports and ADDT are used for performance measurement and optimization. |
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