## 6 Experimental Evaluation
### Scenarios
#### 6.3.2 Scenario 2: Federated Workload Profiling on Various Resource Parameters at the Node Level  
1. **Disk space usage prior to and after FWP at different edge nodes. ** The FWP experiments' impact on disk space consumption was comparable with that of other previous experiments as evident from Figure 6. All of the nodes showed lower disk space usage after the FWP experiments, even though there was no large disparity in the usage of disk space. 2. **Network I/O statistics prior to and after FWP** Each edge node's network I/O data were recorded, which included the characteristics bytes sent, bytes received, number of packets transmitted, number of packets received, total number of incoming dropped packets, and the total number of outbound lost packets. This I/O data analysis revealed crucial insights into the system's overall performance and helped identify potential bottlenecks and issues. After applying our proposed optimization strategies, which included resource-aware data reduction methods such as compression, protocol optimization, and caching, we were able to visually  
Figure 5: FWP effect on memory usage on nodes. Figure 6: Impact of FWP on disk space. inspect the bytes sent and received and confirmed a decrease after implementing FWP, as shown in Figure 7.  
3.3 Scenario 3: The Cumulative Impact of Federated Workload Profiling across Expanding Node Networks  
Extending the Scenario 2 experiments, an assessment was conducted to evaluate the cumulative impacts of optimization strategies on disk space, memory, and network performance as the number of nodes in the federation increases. The size of a federation can vary widely, ranging from a few nodes to hundreds or even thousands, depending on the specific network or system architecture. The number of nodes in a federation often impacts various aspects of network management, performance, and resource allocation. 1. **FWP impact on cumulative memory with increasing nodes. ** In this experiment, we explore the cumulative memory usage across ten nodes before and after implementing FWP and its impact as the number of nodes increases. Figure 8 illustrates the cumulative memory usage across ten nodes both before and after the implementation of FWP. The blue line represents the memory consumption before FWP, and it shows a steady increase as additional nodes are incorporated into the system. Conversely, the orange line, depicting memory usage after FWP, displays a similar upward trend but with consistently lower values compared to the pre-FWP scenario. This suggests that FWP effectively optimizes memory resources, resulting in reduced memory utilization as the number of nodes in the federation increases. The graph highlights the positive impact of FWP on memory management, showcasing its ability to efficiently scale memory consumption with the growing number of nodes, potentially leading to enhanced system performance and resource allocation. 2. **FWP effect on cumulative disk space with node expansion. ** This experiment investigates the effects of FWP on cumulative disk space usage across an expanding node federation. Figure 9 provides a visual representation of cumulative disk space usage across ten nodes, both before and after the implementation of FWP. The cumulative disk space usage is presented in gigabytes (GB) and is measured as the sum of disk space occupied by each node in the federation. The blue line represents the cumulative disk space consumption before FWP, showcasing the gradual increase in storage usage as more nodes are incorporated into the network. Each point on the line corresponds to a specific node, illustrating the progressive accumulation of data storage requirements across the network. In contrast, the orange line represents cumulative disk space usage after FWP activation. There is a similar growth trend as more nodes join the network. The graph utilizes a dual-axis approach, with separate y-axes on the left and right sides, to  
Figure 7: Effect of FWP on network I/O.