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Introduction: With many new technologies requiring real-time data processing, cloud computing has become challenging to implement due to high bandwidth and high latency requirements.

Purpose: To overcome this issue, edge computing is used to process data at the network’s edge. Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed. It is used to process time-sensitive data.

Methodology: The authors implemented the model using Linux Foundation’s open-source platform EdgeX Foundry to create an edge-computing device. The model involved getting data from an on-board sensor (on-board diagnostics (OBD-II)) and the GPS sensor of a car. The data are then observed and computed to the EdgeX server. The single server will send data to serve three real-life internet of things (IoT) use cases: auto insurance, supporting a smart city, and building a personal driving record.

Findings: The main aim of this model is to illustrate how edge computing can improve both latency and bandwidth usage needed for real-world IoT applications.

It is an unfortunate truth that hotel industries are sometimes behind the curve when it comes to adopting the latest technology. In the competitive environment of the hotel industry, a sophisticated portfolio of information systems applications and high-quality information technology infrastructure play a key role in hotel performance in the world. The purpose of this research was to explore the impact of Diffusion of Innovation Theory and Technological, Organizational, and Environmental factors and business benefits of cloud computing adoption on the hotel sectors’ competitive capabilities. Previous studies in Asian countries have shown that adoption of cloud computing is significantly beneficial in hotel businesses. Having that this research study sough to explain the impact of cloud computing adoption using security concerns, top management support, cost saving, and competitive pressure relative advantages. The study was conducted among randomly selected 30 star graded hotels in Sri Lanka. Self-administered questionnaires were distributed among managerial and ICT professionals who were capable of making ICT decisions. The results of the data analysis revealed that cloud computing adoption level is still low among star hotels in Sri Lanka and Security Concerns, Top Management Support, Cost Saving, Competitive Pressure, and Relative Advantages are having significant impact on cloud computing adoption in the hotel sector in Sri Lanka.

The interaction of systems through a designated control channel has improved communication, efficiency, management, storage, processing, etc. across several industries. The construction industry is an industry that thrives on a well-planned workflow rhythm; a change in the environmental dynamism will either have a positive or negative impact on the output of the project planned for execution. More so, raising the need for effective collaboration through workflow and project planning, grid application in construction facilitates the relationship between the project reality and the end users, all with the aim of improving resources and value management. However, decentralisation of close-domain control can cause uncertainty and incompleteness of data. And this can be a big factor, especially when a complex project is being executed.