Natural computing, also called Nature-based Computation Algorithms, are such methodologies of algorithms that take inspiration from nature itself, to solve a complex problem in hand that earlier took far too much time or space to be solved or was not yet possible to solve. It led us towards a great evolution in the field of Optimization of Computing resources and time. Ant Colony Algorithm and Bee-hive are some of the few examples which work on minimizing the computational time, resources, etc and solve the problem faster than before. This paper concerning the project talks about the use of Patterns of Leaves to decipher a Nature-based Resource Algorithm to optimize the resources which are used for computing purposes. The different essential parameters required for a plant to survive are compared to that of a Computer to perform an optimal way in which the resource of a Computer can be optimized for the betterment of resource, and also time. The project works on the principle of modification of leaves according to changing needs/parameters to survive in the best and most optimal way possible, as leaf venation varies due to their different habitat, resource. The algorithm will work on different resources, habitats and will adjust the resources accordingly which will then help in the improvement of resource scarcity and providing the resources when needed without exhausting the resources which will then result in the overall improvement of resource utilization of the computer. The project will use the priority list to prioritize the resource that will be shared with the process for its execution.
- Bio Inspired Computing,
- Leaf venation,
- Leaf Patterns.