• Description:
  In EdgeCloudSim, the Edge Orchestrator is responsible for managing and scheduling tasks, resources, and devices in the edge computing environment. It plays a critical role in ensuring that tasks are assigned to the appropriate edge or cloud resources, based on factors such as workload distribution, network latency, resource availability, and system policies.

• When the simulation starts, the orchestrator initializes with the provided simulation settings, including the number of devices, edge nodes, and cloud resources.
  It also reads the task generation model (e.g., extendedLoadGenerator as in your example) to determine the tasks that need to be scheduled.

• Tasks are generated based on a task generator model, which could be custom or predefined.
  Once the tasks are generated, the orchestrator uses its task scheduling algorithms to allocate tasks to devices or cloud resources.
  The orchestration decisions depend on the simulation scenario, orchestrator policy, and available resources.

• The orchestrator allocates tasks to devices or cloud resources based on available capacity.
  It constantly monitors the execution of tasks and the availability of resources.
  If a device or cloud node is overburdened, the orchestrator can offload some tasks to reduce the load.

• The orchestrator also manages the task dependencies in scenarios where tasks are part of a larger workflow.
  It schedules the tasks in the correct sequence while ensuring all tasks meet their deadline requirements.

• The orchestrator can make dynamic adjustments, such as migrating tasks between devices and cloud resources, based on real-time conditions like network congestion, device mobility, and resource utilization.