Edge and Mist Computing are two emerging paradigms that aim to reduce latency the Cloud workload by bringing its applications close Internet of Things (IoT) devices. In such complex environments, simulation makes it possible evaluate adopted strategies before their deployment on a real distributed system. However, despite research advancement in this area, tools lacking, especially case [11], where heterogeneous constrained devices cooperate share resources. Motivated this, paper, we present...

Fog and Edge Computing are two computing paradigms that aim to solve the Cloud limitations by bringing its applications close IoT devices at edge of network. As a result, they decrease both latency workload. However, despite research advancement in this field, there is still lack simulation tools, especially case Pure where heterogeneous constrained cooperate share their resources peer manner [9]. In paper, we present PureEdgeSim, toolkit enables resource management strategies performance...

Extreme Edge Computing (EEC) promotes sustainable computing by reducing reliance on centralized data centres and decreasing their environmental impact. By using extreme edge devices to handle requests, the EEC reduces energy demands for transmission execution, thereby carbon footprints. However, introduces challenges due mobile, heterogeneous, resource-limited nature of these devices. Additionally, tasks are often complex interdependent, complicating offloading workload orchestration. The...

Vulnerable road users (VRUs) such as pedestrians, cyclists, motorcyclists, and animals are at the highest risk in traffic environment since they move without any protection. Various applications architectures that applicable to Intelligence Transportation Systems (ITS) must be designed by considering this regard. Task offloading is a well-known approach various ITS applications. edge computing refers process of transferring certain tasks or workloads from local device nodes servers located...

Edge computing is an emerging paradigm that aims to solve the cloud limitations by bringing its applications closer Internet of Things (IoT) devices. Thanks horizontal scalability, this leverages from rapid growth connected devices and makes it in favor. As a result, improves scalability reduces latency. However, adoption alone does not guarantee meet quality service (QoS). Due heterogeneity those their requirements, QoS more influenced nature are responsible for offloading task, location,...

Edge computing is a new paradigm that brings the cloud applications close to Internet of Things (IoT) devices at edge network. It improves resources utilization efficiency by using already available network [8]. As result, it decreases workload, reduces latency, and enables breed latency-sensitive such as connected vehicles. Horizontal scalability another advantage computing. Unlike fog computing, latter takes advantages growing number devices, this growth results in increasing resources....

Pure Edge computing (PEC) aims to bring cloud applications and services the edge of network support growing user demand for time-sensitive data-driven computing. However, mobility limited computational capacity devices pose challenges in supporting some urgent computationally intensive tasks with strict response time demands. If execution results these exceed deadline, they become worthless can cause severe safety issues. Therefore, it is essential ensure that nodes complete as many...