In cloud-edge computing paradigms, the integration of edge servers and task offloading
mechanisms has posed new challenges to developing task scheduling strategies. This …

Mobile crowdsourcing is a new computing paradigm that enables outsourcing computation
tasks to mobile crowd nodes by means of offloading the tasks from the user to a mobile edge …

With the proliferation of the Internet of Things (IoT), mobile edge computing (MEC) has great
potential to achieve low latency, high reliability, and low energy consumption. However, in …

Open shop scheduling problems (OSSP) are highly significant in engineering and industry,
involving critical scheduling challenges. The job type determines the duration required for …

The efficiency of production and equipment maintenance costs in the Industrial Internet of
Things (IIoT) are directly impacted by equipment lifetime, making it an important concern …

Valuable data is often distributed across multiple data centers (DCs). Deep learning (DL)
tasks, constrained by privacy regulations, utilize local training and model averaging to …

As IoT metering devices become increasingly prevalent, the smart energy grid encounters
challenges associated with the transmission of large volumes of data affecting the latency of …

As a standardized and systematic management method, business process management
plays an important role in the industrial Internet of Things (IIoT) scenario. With the rapid …

Business process management (BPM) is a crucial method for standardized and systematic
management in the context of Industrial Internet, especially Industrial Internet of Things …

In recent years, with the rapid development of Wise Information Technology of med,
Intelligent Transportation, Industrial Internet, and other emerging business scenarios …