AuthCrypt: A Secure Password Manager Built on Flutter
Author : Professor Pankaja Kadalagi, Faizan Fayaz Mir, Prerna Phakire Journa Name: International Journal of Science, Engineering and Technology Country : India Volume: 12 issue: 3 Year: 2024 Views : 574In cloud computing for optimized workflow scheduling, it is crucial to meet user deadlines while minimizing the cost of resources. This paper is a novel approach that compares Ant Colony Optimization (ACO) with the Buddy System in reducing the cost of the resources used for scheduling those workflows. Ant Colony Optimization was inspired by the behavior of ants in their search for food using pheromone chemicals released by them. Thus, the ACO algorithm is employed to find the solution space and then explore it to find the near- optimal solution among them. Meanwhile, Buddy System algorithms efficiently handle the allocation and deallocation of resources in the cloud. In the cloud system, the Buddy System can be used to allocate and deallocate VM (virtual machine) instances.