1. Cost vs Performance: This is one of the most common trade-offs when optimizing architecture efficiency. A high-performance architecture generally requires a more expensive hardware and software design. However, if you focus more on cost efficiency, you may sacrifice some of the performance benefits.
2. Flexibility vs Complexity: A highly flexible architecture can accommodate changes and allow for more features, but it can also increase the complexity of the system. Conversely, a simpler architecture may be more rigid, but it may be easier to maintain and debug.
3. Power Efficiency vs Performance: Power efficiency is a critical consideration, especially for mobile and embedded devices. Building an architecture that is power-efficient may involve some sacrifices in performance.
4. Scalability vs latency: An architecture that is designed for scalability may have some latency issues due to the increased overhead in distributing tasks across multiple nodes. To optimize latency, you may need to sacrifice some scaling capabilities.
5. Security vs Performance: Security is a critical aspect of any architecture. However, building a system with high-security features like encryption, authentication, and access control can impact the overall performance of the system.
6. Development time vs Efficiency: Building an optimized system may require more development time, resources, and testing. To optimize efficiency, developers may need to consider trade-offs between time, resource, and cost constraints.
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