Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT assisted mobile fog cloud

• Main Authors: Lakhan, Abdullah, Mastoi, Qurat-Ul-Ain, Elhoseny, Mohamed, Memon, Muhammad Suleman, Mohammed, Mazin Abed
• Format: Article
• Published: TAYLOR & FRANCIS LTD 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/41832/

These days, fog-cloud based healthcare application partitioning techniques have been growing progressively. However, existing static fog-cloud based application partitioning methods are static and cannot adopt dynamic changes in the dynamic environment (e.g., where network and computing nodes have r...