Transactional Services for Concurrent Mobile Agents over Edge/Cloud Computing-Assisted Social Internet of Things

The Web of Things (WoT) is a concept that aims to create a network of intelligent devices capable of remote monitoring,service provisioning, and control. Virtual and Physical Internet of Things(IoT) gatewaysfacilitate communication, processing, and storage among social nodes that form the social Web of Things (SWoT). Peripheral IoT services commonly use device data. However, due to the limited bandwidth and processing power of edge devicesin the IoT, they must dynamically alterthe quality ofservice provided to their connected clients to meet each user’s needs while also meeting the service quality requirements of other devices that may access the same data. Consequently, deciding which transactions get access to which Internet of Things data is a scheduling problem. Edge-cloud computing requires transaction management because several Internet of Things transactions may access shared data simultaneously. However, cloud transaction management methods cannot be employed in edge-cloud computing settings. Transaction management models must be consistent and consider ACIDity of transactions, especially consistency. This study compares three implementation strategies, Edge Host Strategy (EHS), Cloud Host Strategy (CHS), and Hybrid BHS (BHS), which execute all IoT transactions on the Edge host, the cloud, and both hosts, respectively. These transactions affect the Edge hosts as well. An IoTT framework is provided, viewing an Internet of Things transaction as a collection of fundamental and additional subtransactions that loosen atomicity. Execution strategy controls essential and additional subtransactions. The integration of edge and cloud computing demonstratesthat the execution approach significantly affects system performance. EHS and CHS can waste wireless bandwidth, while BHS outperforms CHS and EHS in many scenarios. These solutions enable edge transactions to complete without restarting due to outdated IoT data or other edge or cloud transactions. The properties of these approaches have been detailed, showing that they often outperform concurrent protocols and can improve edge-cloud computing.