Policies as black boxes in policy composition
Policies as Black Boxes in Policy Composition In a policy composition framework, policies are treated as black boxes because they clearly define the constraints, behaviors, and goals of the systems that contain them, yet do not require any explicit knowledge of the inner workings of these structures to achieve a successful result. The policy layer can be kept abstract to allow the organizational higher-level goals to be achieved by managing the interactions and how they fit together. The policy components can be used in different situations and changes to the system structure are possible without affecting the overall abstraction. (Bapat, 2019; Bhatt et al., 2015). Dynamic policy composition is another benefit of this approach. It allows the system to update its composition automatically to meet changing conditions and requirements. Administrators would not be able to treat policies as black boxes. Instead, they will have to review the internal workings of all the systems and adjust them to meet changing conditions. Administrations are able to use abstraction layers for policy management. They can also collaborate with others to ensure that policies are effective and functional. (Fahimi et al., 2021; Young et al., 2020). The bottom line is that policies can be treated as black boxes within a policy composition framework. This allows policy management to be viewed from the top and the system’s goals to remain current without affecting the infrastructure. The abstraction layer allows administrators and stakeholders to work together to design and implement effective policies. It also frees them from having to manually change each requirement.
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