An improved fish swarm algorithm to assign tasks and cut down on latency in cloud computing

Various researches have been conducted to discover the machinery that led evolvement of non-symmetric formation groups by uncountable marine animals. The huge tasks comes per unit time brought obstacles assign each particular server, while task assignment needed a fast strategy make decision. Artificial fish affect environment through their behavior and peers. Creating synthetic model has two parts: variables functions which could be used for assignment. This paper present improved swarm algorithm (IFSA) reduce latency in cloud computing achieve one green goals. research trying pending job numbers compared with exist research.