New Mexico Supercomputing Challenge

Self-recovery of a distributed system after a large disruption

Team: 61

School: Los Alamos Mid/Aspen Elem

Area of Science: Environment, Materials


Interim:

Problem Definition:
Many natural phenomena like: calamities wars or other damaging events produce dislocation of populations of various elements as animals bacteria from their habitat or may take place even inside materials exposed to damage that all trend to recover. From the many recovery paths possible, the main interest is toward those processes that drive to the similar structure as before the incidents, and towards those conditions of interaction between them and environment that have to be met. The process is called self-recovering, self repairing or healing. Our goal is to: identify and understand those interaction conditions and their dependence of initial state that are driving to recovery of the systems hit by calamities, the self repairing of materials and tissues hit by radiation and how the structures have to be designed in order to increase their resilience.

Problem Solution:
The environment, in which this simulation would be conducted, is drafted from the chess game. We will establish the total number and patch maximum admittance for types of populations and their interaction. The computer would be responsible for generating a disruption, and making all the species move outside the zone, using random directions until they are out, than will start repopulating back using rules of movement keeping in account the occupancy limits. It will define the differences between the initial distribution and the current distribution and will present a graph of the recovery in time. We will change the population allocation parameters and observe the process.

Progress to Date:
Presently, a simulation has been constructed in which two populations as rabbits and squirrels are generated and distributed on patches, and the way to move them outside after the disruption. We are studying various rules of movement for the agents in order to match real world description, and we try to understand what recovery means to natural systems in order to program this on computer, we are facing difficulties due to the lack of coherent simple data even for human systems in the case of hurricanes, as Katrina or Ivan, and we did not find any studies for animal populations yet.

Expected Results:
After programming, testing, and refining of the algorithms we will define our own way of understanding the problem, and to learn from computer’s simulations. The solution will be a simplistic one, which will allow us to learn and study the dependence of the recovery patterns of different parameters imposed to the system. The hope is to get complex enough simulations that to future apply to various practical examples from real life, as environment ecologic equilibrium, or materials under radiation damage.

Team Members: Andrei Popa-Simil, Victor Popa-Simil
Sponsoring Teacher: Pauline Stephens


Team Members:

  andrei POPA-SIMIL
  Victor POPA-SIMIL

Sponsoring Teacher: Pauline Stephens

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