Complex system management and usage of visualization technique

Complex system management and usage of visualization technique

IT capabilities of the modern era have helped the experts to create and test cyber simulations. A range of mathematical factors are used in the simulations, and variables can be used to understand the aftereffects of a policy (Bihanic & Polacsek, 2012). Theory can be tested in a practical manner, and it can help experts to identify the strengths and weaknesses of a policy before implementation.

Description of the specific policy

IT simulations are effective ways of representing the theoretical assumptions in a practical way (Hendley & Drew, 1995). The case of smart cities can be considered here. In a smart city, experts and policymakers might consider creating a water supply system that would reduce water wastage by limiting the water supply for a particular time. The citizens are supposed to complete their work within the stipulated time. Water supply for a limited time would create awareness among the users, and they are more likely to value the available supply. The city would witness proper water management.

However, after implementing the policy, it is essential to get ready for its implications. Serious issues and blockades might occur. For instance, limited water supply might create conflict among citizens. During occasions, it would be difficult to meet the demand for water. Setting aside a pool and filling up buckets might be a temporary solution. The requirement of water in case of large parties or special occasions increases; however, these are exceptional cases. The policy should be tested, and the underlying blockages should be handled carefully. The components must be managed and used at its maximum potential. .

Visualization techniques for making the model accessible

The suggested model might be less accessible if proper systems are not in place. The accessibility of the model can be increased by using a 3D modelled environmental design. The 3D model would help simulate the policy in mind and display real actions (Keller et al., 1994). It would be effective to utilize an engine and incorporate the values and mathematical variables in place. Data should be represented in a logical manner. Modal methods, graphs along with data nodes can be used to resolve the mystery. Modifications and trends must be shown using an appropriate visualization tool. A well-developed and well-managed system would ensure proper project implementation.

Visualization mainly depends on three basic principles. Simple design, scalable design, and lastly, standard design are the basic principles. The simple design is a visualization principle that will ensure simplicity and consistency in the presented information. The users can access the model only after modification of the searching capabilities. The data structure must be standardized, and information should be presented in an easily understandable manner. Concrete information would help users to grasp the concepts easily, and it would also ensure the effectiveness of the design. The entire concept is imaginary, and therefore the focus should be creating a mental picture first and then shifting the focus towards practical implications of implementing the model. Data should be communicated via graphs and charts to increase understandability.

References

Bihanic, D., & Polacsek, T. (2012, July). Models for visualisation of complex information systems. In 2012 16th International Conference on Information Visualisation (pp. 130-135). IEEE.

Hendley, R. J., & Drew, N. S. (1995). Visualisation of complex systems. University of Birmingham (UK) School of Computer Science.

Keller, P. R., Keller, M. M., Markel, S., Mallinckrodt, A. J., & McKay, S. (1994). Visual cues: practical data visualization. Computers in Physics, 8(3), 297-298.