# -- Select and Attempt task -- ```
## 4 Enhancing Performance by Avoiding Unwarranted Task Executions
### The Proposed CA Algorithm for the Early Detection of Bad Providers
The results are shown in Table 7.0

Table 7.1 (**a**) A performance comparison of CA_NEW and CA_OLD when consumers change locations with a probability of 10% per round. (**b**) A performance comparison of CA_NEW and FIRE when consumers change locations with a probability of 10% per round. Table 7.2 (**a**) Performance comparison of CA_NEW in consumer population changes of 2%, 5%, and 10%. (**b**) Performance comparison of CA_OLD in consumer population changes of 2%, 5%, and 10%. **Experiment 13**. A provider may move to a new location on the spherical world at a maximum angular distance of \(\pi/20\) with a probability of 0.10 in every round (\(\text{P}_{\text{PLC}}\ =\ 0.10,\Delta\Phi=\pi/20\)). The results are shown in Table 7.3

Figures 14a and 15a indicate that CA_NEW demonstrates improved performance in the initial interactions compared to CA_OLD under both environmental changes. Figures 14b and 15b show that CA_NEW outperforms FIRE in both experiments, except for the first interaction, where FIRE performs better. ### The Performance of the New CA Algorithm Under the Effects of All Dynamic Factors

In this subsection, we report the results of the final experiment, which evaluates the performance of CA_NEW under the combined influence of all dynamic factors. **Experiment 14**. A provider may alter its average performance at a maximum of 1.0 UG unit with a probability of 10% in every round (\(p\mu C=0.10,\ M=1.0\)). A provider may switch into a different performance profile with a probability of 2% in every round (\(p_{ProfileSwitch=0.02}\)). The provider population changes at a maximum of 2% in every round (\(p_{PPC}=0.02\)). The consumer population changes at a maximum of 5% in every round (\(p_{CPC}=0.05\)). A consumer may move to a new location on the spherical world at a maximum angular distance of \(\pi/20\) with a probability of 0.10 in every round (\(\text{P}_{\text{CLC}}\ =\ 0.10,\Delta\Phi=\pi/20\)). A provider may move to a new location on the spherical world at a maximum angular distance of \(\pi/20\) with a probability of 0.10 in every round (\(\text{P}_{\text{PLC}}\ =\ 0.10,\Delta\Phi=\pi/20\)). The results, shown in Figure 16, demonstrate that CA_NEW consistently outperforms both CA_OLD and FIRE across all interactions. ### An Overview of the Results

The simulation results reveal that the updated CA algorithm (CA_NEW) demonstrates superior performance over its predecessor (CA_OLD) and the FIRE model under various environmental conditions:

1. Dynamic Trustee Profiles: CA_NEW outperforms CA_OLD across all interactions and shows resilience in handling provider performance fluctuations. While FIRE adapts more quickly in some cases, CA_NEW remains very competitive. Table 7.4 (**a**) A performance comparison of CA_NEW and CA_OLD when providers change locations with a probability of 10% per round. (**b**) A performance comparison of CA_NEW and FIRE when providers change locations with a probability of 10% per round. Static Environment: CA_NEW surpasses CA_OLD in the initial interactions and consistently outperforms FIRE, except in the first interaction. * Provider Population Changes: CA_NEW is more resilient than CA_OLD when provider population fluctuations increase up to 10%, maintaining better performance. However, as changes reach 30%, FIRE eventually outperforms CA_NEW, indicating FIRE's resilience in this environmental change. * Consumer Population Changes: CA_NEW generally achieves a higher UG than CA_OLD, though at high levels of consumer population changes, CA_OLD performs slightly better in the first interaction, suggesting that CA_OLD may be better for old service providers with stable capabilities. CA_NEW consistently outperforms FIRE under consumer population changes. * Consumer and Provider Location Changes: CA_NEW shows improved performance over CA_OLD in initial interactions and outperforms FIRE in all interactions, except for the first one.