• Description:
  EdgeCloudSim simplifies parameter usage compared to CloudSim by providing a higher level of abstraction tailored for edge computing scenarios. It offers predefined configuration files for parameters like network models, task arrival rates, and device properties, eliminating the need for extensive code modifications. Built-in network models and task offloading mechanisms streamline simulations, while support for edge-specific features such as mobile device mobility, energy consumption, and orchestration policies further reduces complexity. Its modular architecture and logging capabilities enable seamless customization and easy analysis of simulation outcomes. These features make EdgeCloudSim more user-friendly and efficient for edge computing research than the general-purpose CloudSim framework.

• CloudSim: In CloudSim, setting up a cloud environment requires detailed configuration of entities such as Datacenters, Hosts, VMs, and Network resources. Users need to manually define these components, their interactions, and their parameters (e.g., CPU, RAM, storage, network bandwidth).
• EdgeCloudSim: EdgeCloudSim simplifies this by offering higher-level abstractions for edge-specific elements such as mobile devices, edge nodes, and fog devices. Configuration for these elements is more streamlined, and many default behaviors for edge environments are built in.

• CloudSim: CloudSim does not inherently support mobile devices or edge nodes. Users need to manually add mobile devices and simulate network interactions between them, often by customizing the core classes.
• EdgeCloudSim: EdgeCloudSim directly supports mobile devices and edge nodes. It comes with pre-built classes for mobile devices (e.g., MobileDevice) and edge nodes (e.g., EdgeNode), which simplifies the task of modeling scenarios where devices are mobile or edge nodes interact with cloud data centers. Users can easily set up and configure mobile devices, edge nodes, and their parameters (e.g., battery, mobility, task types) using XML files or direct inputs.

• CloudSim: In CloudSim, the network model needs to be manually defined and configured. Users often need to implement custom network models (e.g., bandwidth, latency, topology) to simulate network interactions between VMs or data centers.
• EdgeCloudSim: EdgeCloudSim provides built-in network models, such as the MM1 Queue model, and allows users to easily modify the model or use pre-configured network parameters for mobile-to-edge or edge-to-cloud communication. It comes with methods for defining delays, bandwidth, and other edge-specific network behaviors, making the simulation setup faster and more intuitive.

• CloudSim: Users need to manually define tasks (cloudlets) and their parameters (e.g., length, file size, execution time, resources). CloudSim requires a lot of customization for defining different task types, especially for edge-specific applications (like latency-sensitive tasks or mobile device-related tasks).
• EdgeCloudSim: EdgeCloudSim simplifies task management for edge applications. It provides a predefined Task class, with parameters such as mobile device IDs, cloudlet ID, and resource usage. Tasks can be generated for mobile devices and edge nodes without extensive configuration. Moreover, tasks can easily be assigned specific requirements based on edge scenarios (e.g., real-time processing, offloading).

• CloudSim: CloudSim provides a flexible but generic simulation environment. Users need to define different policies (e.g., resource allocation, scheduling) and configure scenarios based on specific cloud use cases (e.g., load balancing, VM allocation). However, this requires understanding the complex relationships between the cloud components.
• EdgeCloudSim: EdgeCloudSim allows users to easily define specific edge scenarios (e.g., mobile task offloading, local processing, mobility-aware resource allocation) with predefined policies for orchestrating tasks between edge devices and cloud resources. The framework comes with built-in simulation scenarios that are tailored for edge and fog computing, making it easier to experiment with different configurations and policies specific to edge environments.

• CloudSim: CloudSim doesn’t support device mobility by default. For mobility modeling, users must customize the environment, including simulating mobile device movements, device-to-device communication, and handovers.
• EdgeCloudSim: EdgeCloudSim supports device mobility out-of-the-box. It allows users to configure the mobility of mobile devices (e.g., speed, movement pattern) and their interaction with edge and cloud resources. This is especially useful in scenarios where devices are moving, such as vehicular networks or mobile edge computing.

• CloudSim: CloudSim provides basic logging functionality. Users have to implement additional logging or monitoring features if they need detailed insights into resource usage, task execution, or network delays.
• EdgeCloudSim: EdgeCloudSim comes with advanced logging and monitoring tools tailored for edge computing scenarios. It provides real-time logs of edge-specific parameters, mobile devices, task offloading, and communication delays, which simplifies the task of debugging and analyzing edge simulations.

• CloudSim: CloudSim is flexible and can be highly customized, but requires significant effort for edge-related features such as edge nodes, mobile devices, and task offloading. Customizing the environment to suit edge-specific needs often requires in-depth knowledge of the CloudSim framework.
• EdgeCloudSim: EdgeCloudSim is more specialized for edge computing scenarios and provides an easier path to customize tasks, devices, and network models in the context of edge and fog environments. The framework is designed with built-in parameters and models specific to edge computing, which reduces the amount of customization required compared to CloudSim

• CloudSim: Setting up a CloudSim simulation requires defining entities and their relationships in code, which can be time-consuming for users unfamiliar with the framework.
• EdgeCloudSim: EdgeCloudSim simplifies the setup process by providing XML-based configuration files for devices, applications, and network settings. Users can easily modify the parameters without changing the underlying code, making it more accessible for beginners and faster for experienced users to set up complex edge computing scenarios.