An Eco-Friendly Efficient Cloud-Searching Technique With Delay

The authors propose a cloud-based disk-searching technique with delay in this article. Cloud computing is responsible for eco-friendly use of computers and other related resources. The proposed technique exerts less energy to search particular data. The searching technique finds a particular element through parallel channels. The energy efficiency is directly proportional to the number of channels for a specific set of data. The parallel searching technique is implemented to reduce time complexity and complexity of delay. The article exhibits a complexity of delay in a real-time scenario. The delay is depending upon the number of elements and if the number of elements is increased, then the overall delay is also increased. A time graph represents the relations between the number of elements and the number of channels. An energy-efficiency graph is also represented with respect to the number of channels. The delay is calculated with respect to the number of elements, cloud network delay, and waiting time for previous data execution. The authors have established relations between the delay and the number of elements, waiting time, and the cloud network delay.