1. Test case: Lane Departure Warning System a. Name of use case: Lane Departure Warning System b. Domain/company/environment where this use case occurs: Automotive industry c. Description of the use case purpose, interactions and what will the users benefit: The purpose of this use case is to alert the driver if the vehicle starts to drift out of its lane without signaling. The interaction involved would be between the sensors in the vehicle, the Autopilot system, and the driver. The users will benefit from this by being able to drive more safely and avoid accidents caused by drifting out of their lane. d. What is the "internet angel" around these things: The internet angel in this use case is the cloud-based Autopilot system that collects and analyzes data from the vehicle's sensors and provides real-time alerts to the driver. e. Information model: The information model for this use case would include sensor data from the vehicle, such as GPS location and lane position. f. How is location and sensory information used: The Autopilot system uses location and sensory information to detect when the vehicle is drifting out of its lane and provides an alert to the driver.
2. Test case: Adaptive Cruise Control a. Name of use case: Adaptive Cruise Control b. Domain/company/environment where this use case occurs: Automotive industry c. Description of the use case purpose, interactions and what will the users benefit: The purpose of this use case is to automatically adjust the vehicle's speed to maintain a safe distance from other vehicles on the road. The interaction involved would be between the vehicle's sensors, the Autopilot system, and the driver. The users will benefit from this by being able to drive more safely and reduce the risk of accidents caused by sudden changes in traffic conditions. d. What is the "internet angel" around these things: The internet angel in this use case is the cloud-based Autopilot system that collects and analyzes data from the vehicle's sensors and provides real-time adjustments to the vehicle's speed. e. Information model: The information model for this use case would include sensor data from the vehicle, such as radar and camera information, and user preferences for following distance and speed. f. How is location and sensory information used: The Autopilot system uses location and sensory information to detect other vehicles on the road and adjust the vehicle's speed to maintain a safe following distance.
3. Test case: Navigate on Autopilot a. Name of use case: Navigate on Autopilot b. Domain/company/environment where this use case occurs: Automotive industry c. Description of the use case purpose, interactions and what will the users benefit: The purpose of this use case is to allow the vehicle to automatically navigate on the highway, including changing lanes, taking exits, and merging onto other highways. The interaction involved would be between the vehicle's sensors, the Autopilot system, and the driver. The users will benefit from this by being able to drive more safely and reduce stress and fatigue during long highway drives. d. What is the "internet angel" around these things: The internet angel in this use case is the cloud-based Autopilot system that collects and analyzes data from the vehicle's sensors and provides real-time guidance to the vehicle. e. Information model: The information model for this use case would include sensor data from the vehicle, such as GPS location, speed, and lane position, as well as navigation data such as road maps and traffic information. f. How is location and sensory information used: The Autopilot system uses location and sensory information to navigate the vehicle on the highway, including detecting lane markings, other vehicles, and exits. It also uses

approach 1:

Scheduling on the platform :-

• Task scheduling:

1. Task Assignment:

Once the tasks are identified and prioritized, they are assigned to the devices based on their availability and capability. Task assignment can take into account various factors, such as device capacity, energy consumption, and network bandwidth.

Task assignment can involve the following steps:

• Device profiling: This involves profiling each device to determine its capabilities and limitations, such as processing power, memory, energy consumption, and network connectivity.
• Task profiling: This involves profiling each task to determine its resource requirements, such as processing power, memory, and network bandwidth.
• Resource matching: This involves matching tasks with devices based on their profiles and availability.
• Task scheduling: Based on resource matching, tasks are scheduled on the appropriate devices at the appropriate times.

1. Execution:

Once tasks are assigned, the devices begin executing the assigned tasks. Devices may communicate with each other to coordinate their efforts and share data. Execution can be monitored in real-time to ensure that tasks are being completed correctly and on time.

Execution can involve the following steps:

• Task initiation: This involves initiating the tasks on the appropriate devices.