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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 13 > No. S1

 
   

HACRP: A Resource Monitoring and Provisioning Framework for Cloud Applications

PP: 139-148
doi:10.18576/amis/13S114
Author(s)
V. Sakthivel, K. Srihari, S. Karthik,
Abstract
In cloud computing, resources are provisioned and admitted on demand. During the runtime, workload can be calculated by using the workload analyzer and the resources are allocated. Deciding the resources needed is a difficult task in cloud computing. Autonomic provisioning of resources is needed to satisfy the future demands. In this paper, we present a Hybrid Admission Control and Resource Provisioning (HACRP) framework based on autonomic computing and Q−learning. We evaluate the performance of the framework using the Mediawiki traces. The proposed framework calculates the resources needed and allocates resources based on the demands.

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