Blar i School of Economics, Innovation, and Technology på forfatter "Dootio, Mazhar Ali"
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Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things
Lakhan, Abdullah; Dootio, Mazhar Ali; Sodhro, Ali Hassan; Pirbhulal, Sandeep; Grønli, Tor-Morten; Khokhar, Muhammad Saddam; Wang, Lei (Peer reviewed; Journal article, 2021)These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare ... -
Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks
Lakhan, Abdullah; Dootio, Mazhar Ali; Grønli, Tor-Morten; Sodhro, Ali Hassan; Khokhar, Muhammad Saddam (Peer reviewed; Journal article, 2021)These days, with the emerging developments in wireless communication technologies, such as 6G and 5G and the Internet of Things (IoT) sensors, the usage of E-Transport applications has been increasing progressively. These ... -
Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks
Lakhan, Abdullah; Dootio, Mazhar Ali; Grønli, Tor-Morten; Sodhro, Ali Hassan; Khokhar, Muhammad Saddam (Peer reviewed; Journal article, 2021)These days, with the emerging developments in wireless communication technologies, such as 6G and 5G and the Internet of Things (IoT) sensors, the usage of E-Transport applications has been increasing progressively. These ... -
Secure and failure hybrid delay enabled a lightweight RPC and SHDS schemes in Industry 4.0 aware IIoHT enabled fog computing
Dootio, Mazhar Ali; Lakhan, Abdullah; Sodhro, Ali Hassan; Grønli, Tor-Morten; Bawany, Narmeen Zakaria; Kumar, Samrat Schmiem (Peer reviewed; Journal article, 2021)These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare ...