AI-Driven Job Scheduling in Cloud Computing: A Comprehensive Review

Information Science, Computer Science, Artificial Intelligence,
AI-driven   cloud computing   job scheduling   energy efficiency   hybrid AI models   machine learning   resource allocation  

Academic Background With the rapid development of cloud computing technology, the demand for efficient job scheduling in dynamic and heterogeneous cloud environments has grown significantly. Traditional scheduling algorithms perform well in simple systems but are no longer sufficient for modern, complex cloud infrastructures. Issues such as resourc...

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services

Engineering, Aerospace Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
satellite communication   6G networks   task offloading   resource allocation   deep reinforcement learning   edge computing   spatio-temporal dynamics  

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services Background Introduction With the advent of the 6G mobile communication network, the traditional Internet of Things (IoT) architecture is gradually transforming into the new paradigm of the intelligent Internet of Everyth...