Congestions control through cloud computing with MANET

Adhoc network is collection of temporary nodes that are capable of dynamic forming temporary network, self-organize, and infrastructure less with nodes contains routing capability. As cloud computing services rapidly expand their customer base, it has become important to share cloud resources, so as to provide them economically. In cloud computing services, multiple types of resources, such as processing ability, bandwidth and storage, need to be allocated simultaneously. If there is a surge of requests, a competition will arise between these requests for the use of cloud resources. This leads to the disruption of the service and it is necessary to consider a measure to avoid or relieve congestion of cloud computing environments. This dissertation proposes a new congestion control method for cloud computing environments which reduces the size of packet drop rate for congested resource type instead of restricting all service requests as in the existing networks. We apply Queue based technique and differentiate between the queue based technique with cloud queue based technique .Here we use NS-2.31 simulator for simulation of MANET and take comparative analysis between cloud and wireless network mechanism.