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Publication
Blockchain timetabling scheduling system
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 38054 | 3.92 MB | Adobe PDF |
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Advisor(s)
Abstract(s)
In today’s world, how individuals organize their lives is increasingly vital. Everyone has their way of managing time. This shows how important it is to have schedules that match their rhythms. Offering individuals the chance to tailor their schedules would greatly benefit many. This thesis presents a potential solution to this widespread issue. The system proposed in this research offers a solution to the described challenge. It brings together two main aspects, the creation of personal schedules within boundaries set by employers, whether they be companies, universities, or other management entities. The intriguing and democratic aspect of this system is its second phase. Those who will use the system can also voice their preferences. The system will produce a range of schedules, allowing users to vote on their favored option. These votes are stored on a blockchain, ensuring enhanced reliability, transparency, and security that other methods might not offer. This system is applicable across a broad spectrum of sectors and situations. This scheduling tool works for many different places, like hospitals, workplaces, schools, and many others. The university scenario was more detailed and explored in this thesis as a test case. To handle the high computational demands, was opted for an innovative approach. Used Graphics Processing Unit (GPU)s instead of traditional Central processing unit (CPU)s for the scheduling component. The GPU’s inherent capabilities make parallel operations faster and generation quicker. The findings from this study suggest that such a system can be applied in real-life scenarios with promising results. It also demonstrates that using GPUs was the right choice in terms of performance and resource optimization. To sum up, this system combines a tool for creating schedules with blockchain voting to provide a complete solution for generating schedules. In addition to efficient resource distribution, it also ensures fairness and trust in decision-making. It does this by integrating its important parts. This research significantly contributes to the fields of optimization and constraint satisfaction, with potential applications extending beyond the educational scenario discussed here.