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Title |
CADRAM - Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing |
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Author |
M.Abdullah, Dr. M. Mohamed Surputheen |
| Citation |
Vol. 22 No. 3 pp. 95-100 |
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Abstract |
Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients’ quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations. |
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Keywords |
Cloud computing, cooperative-agent system, resource provisioning, SLA |
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