Cloud Investigate

Resource Management on Private Cloud Using Predictive Algorithm

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Executive Summary

Currently existing cloud service providers require users to manually manage their instances which asks for constant monitoring. The authors propose SLA Aware Resource Management service wherein resources are scaled-up or scaled-down on demand and a fair user policy is implemented by placing a cap on the number of instances that can be used by a single application. To implement this, resources are monitored periodically and after the learning phase based on the comparison of resource utilization with the limiting conditions set, instances are either launched or terminated.

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