№ files_lp_3_process_7_056202
This is a research article providing supplementary data related to flexible resource scheduling in software-defined cloud manufacturing systems utilizing edge computing, focusing on task assignments and network topologies in both simple and complex systems.
Year: 2023
Region / City: Beijing, Stockholm, Wuhan, Hong Kong
Topic: Cloud Manufacturing, Edge Computing, Resource Scheduling
Document Type: Research Article
Organization / Institution: Beijing Institute of Technology, KTH Royal Institute of Technology, Huazhong University of Science and Technology, University of Hong Kong
Author: Chen Yang, Fangyin Liao, Shulin Lan, Lihui Wang, Weiming Shen, George Q. Huang
Target Audience: Researchers, Engineers, Academics in the fields of Cloud Computing and Manufacturing
Effective Date: 2023
Date of Approval: 2023
Date of Changes: N/A
Note: Contextual Description
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.

Don’t have cryptocurrency yet?

You can still complete your purchase in a few minutes:
  1. Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
  2. In the app, tap Send.
  3. Select network, paste our wallet address.
  4. Send the exact amount shown above.
After sending, paste your TXID (transaction ID) and your email to receive the download link. Need help? Contact support and we’ll guide you step by step.