# Technical Data Extraction: Execution Time Comparison ## 1. Image Classification This image is a **Bar Chart** comparing the execution times of nine different algorithms or systems. ## 2. Component Isolation ### Header/Title * **Content:** None present in the image. ### Y-Axis (Vertical) * **Label:** Execution Time /seconds * **Scale:** Linear, ranging from 0 to 120. * **Major Tick Marks:** 0, 20, 40, 60, 80, 100, 120. ### X-Axis (Horizontal) * **Categories:** Nine distinct labels representing different methods. * **Labels (Left to Right):** Kendall, Spearman, CloudScout, LOUD, AID, HALO, CMMD, KPIRoot, KPIRoot+. ### Main Data Area * **Type:** Single-series bar chart. * **Color Coding:** All bars are a uniform light aquamarine/mint green color with black outlines. * **Legend:** No legend is present as there is only one data series. --- ## 3. Data Table Extraction The following values are estimated based on the alignment of the top of each bar with the Y-axis grid markers. | Algorithm / Method | Estimated Execution Time (Seconds) | Visual Trend Description | | :--- | :--- | :--- | | **Kendall** | ~12 | Low baseline. | | **Spearman** | ~15 | Slightly higher than Kendall. | | **CloudScout** | ~13 | Comparable to Kendall/Spearman. | | **LOUD** | ~28 | Significant increase, roughly double the baseline. | | **AID** | ~117 | **Peak Value.** Highest execution time in the set. | | **HALO** | ~20 | Sharp decrease from AID, returning toward baseline. | | **CMMD** | ~84 | **Secondary Peak.** Second highest execution time. | | **KPIRoot** | ~5 | **Minimum Value.** Lowest execution time in the set. | | **KPIRoot+** | ~8 | Slight increase from KPIRoot, but still very low. | --- ## 4. Key Trends and Observations * **Performance Outliers:** The "AID" method is the clear outlier with the longest execution time, exceeding 110 seconds. "CMMD" is the second most time-intensive method at approximately 84 seconds. * **Efficiency Leaders:** "KPIRoot" and "KPIRoot+" demonstrate the highest efficiency (lowest execution time), both finishing in under 10 seconds. * **Baseline Group:** Kendall, Spearman, CloudScout, and HALO form a "middle-low" cluster with execution times ranging between 12 and 20 seconds. * **Comparison:** The execution time for AID is approximately 23 times longer than the execution time for KPIRoot. ## 5. Language Declaration The text in this image is entirely in **English**. No other languages were detected.

# Technical Document Extraction: Execution Time Analysis ## Chart Description The image is a **bar chart** comparing **execution time (in seconds)** across multiple entities. The chart uses **light blue bars** to represent data points. --- ### Axis Labels - **Y-Axis**: "Execution Time / seconds" (ranging from 0 to 120 in increments of 20). - **X-Axis**: Categorical labels representing entities (see list below). --- ### Categories & Data Points 1. **Kendall**: ~10 seconds 2. **Spear**: ~15 seconds 3. **Cloud**: ~12 seconds 4. **LOUD**: ~30 seconds 5. **AID**: ~120 seconds (tallest bar) 6. **HALO**: ~20 seconds 7. **CMM**: ~80 seconds 8. **KPIRoot**: ~5 seconds 9. **KPIRoot+**: ~8 seconds --- ### Key Trends - **AID** exhibits the **highest execution time** at approximately **120 seconds**, significantly exceeding all other entities. - **CMM** follows with the second-highest execution time at **80 seconds**. - **LOUD** (30 seconds) and **HALO** (20 seconds) show moderate execution times. - **KPIRoot** and **KPIRoot+** have the **lowest execution times**, both below 10 seconds. - The remaining entities (**Kendall**, **Spear**, **Cloud**) cluster between **10–15 seconds**. --- ### Visual Notes - All bars are uniformly colored in **light blue**, with no additional legends or sub-categories. - No textual annotations or embedded data tables are present in the chart. --- ### Summary The chart highlights **AID** as the most time-intensive entity, while **KPIRoot** and **KPIRoot+** are the most efficient. Execution times vary widely, with a clear outlier at **AID**.