Table 3 Performance evaluation of DCD
Parameter(s) | Evaluation |
|---|---|
Performance | Over all Satisfactory in a small enterprise. Can be improved when next transition is already known or have a system model which determine transition interval in order to avoid from overhead of activation and deactivation |
Goal | To achieve maximum energy efficiency and minimize energy consumption. |
Cost (in terms of man power) | In terms of man power these techniques are hard to develop which require more efforts, advanced techniques and latest technology implication makes it more costly |
Switching cost | Whenever switching is done which not only degrade performance but also increase energy consumption |
Maintaince | Maintaince of DCD is difficult, mainly if we talk about delays, inactivation, deactivation and intervals predictions this make it very expansive and hard to ménage |
Complexity | The complexity of technique increase with non-linear interactions and diverse nature of the complex systems. If the interactions between objects and agents are high, complexity will increase |
Response time | These approaches don’t have best response time if a component is deactivated and urgent activation is required then it might take very long time which is performance degradation |
Cost (in terms of money) | These are hard to build and are very expensive as well. Logic is burnt on chips or any other component then it becomes more costly |