Investigating Energy Consumption and Performance Trade-off for Interactive Cloud Data Management

Cloud computing services have become important to shared cloud resources, as it serves them economically as the customer base grows rapidly. Such processing power, bandwidth, and storage, as needed, cloud computing services, can be allocated to multiple types of resources simultaneously. In the current technique, when the traffic clog acknowledgment traffic assignment strategy is presented, it is to amplify the Profit of the designation move between its objectives different server farms and CONA (CONgestion Aware) However, in-network congestion in the data center in the clouds, data transfer failures can considerably degrade application performance over time. To overcome the existing method issues, Traffic Concerned Load Balancing Multipath Routing Protocol Algorithm (TCLBMPR) has been proposed to improve overhead routing, congestion delays, and cloud lifespan. The proposed method is Traffic Concerned Load Balancing Multipath Routing Protocol. This method demonstrates the efficiency of the traffic allocation of resources in the cloud environment. This work supports data transfer in multiple paths without traffic jamming in a very efficient manner. It avoids the traffic jamming condition as the congestion controller in the cloud controller module monitors for traffic in the cloud. The proposed procedure is contrasted and the current methods, for example, CONA, Fair Share, and greedy as far as resource allocation, path availability, congestion rate, time complexity. It demonstrates the ability and efficiency of data centers in the cloud to estimate the effects of jamming and integrate these calculations into traffic allocation issues.