The world has revolutionized over the years with the advent of various technologies and life of mankind has taken a significant turnaround in terms of getting the official problems solved in an effective and efficient manner in no time. One of the most powerful technologies that has come up in recent years is cloud computing. This technology has captured a special place in various Information Technology (IT) sectors and business organizations. Among all the aspects of this technology that are in existence, cloud data search optimization has become a key area of focus for the researchers. Various research works were conducted based on several fundamentals such as Gossip Protocol, Genetic Algorithm, Hybrid Algorithm, Multi-Keyword Synonym Query, Particle Swarm Optimization, Honey Bee Optimization, etc. and all these were put into practical purpose with the primary objective of optimizing the search technique in the cloud. In our paper, we have suggested the use of Ant Colony Optimization Algorithm for an effective data search in database and allocating them to the respective clients through shortest possible network path in no time. We have used the concept of pheromone values to conduct this procedure. Our suggested techniques ensure that our algorithm will achieve a higher degree of performance in terms of increased throughput and increased efficiency as compared to the traditional techniques which were carried out earlier.

Database, Client machines, Data Carrier Equipment, Wires, Quadrilateral Obstruction, Pheromone value, Ant Colony Optimization Algorithm

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