The growing number of e-voting applications indicates the need in resolving issues that exist in the traditional election model. By integrating with blockchain technology, we could extend the model’s capabilities by presenting transparency in logic execution and integrity in data storage. Despite these advantages, blockchain brings in new challenges regarding system performance and data privacy. Due to distributed nature of blockchain, any new updating request needs to be reflected in all network’s peers before proceeding to the subsequence requests. This process produces delay and possibility in request rejection due to update conflict. In addition, data removal is no longer feasible since each record is protected by immutable hashed link. To overcome these limitations, the integration model of blockchain and message queue is proposed in this paper. The design addresses security concerns in data exchanging patterns, voter anonymization, and proof of system actor’s legitimacy. Performance tests are conducted on system prototypes which were deployed on two different settings. The result shows that the system can perform well in production environment, and introduction of message queue handling scheme can cope with blockchain’s errors in unexpected scenarios.
With the growing need for HPC resource usage in Thailand, this study aims to foster the creation of an HPC resource sharing ecosystem based on available in-house computing infrastructure. The model of computing resource sharing based on blockchain technology is presented for bridging communication between multiple clusters of HPC systems. The use of blockchain technology allows states among HPC systems to be synchronized and extends capabilities in enforcing governing rules. A smart contract was deployed on the blockchain network to enable users to request computing resources. Upon a request being made, a matching scheme performs the automatic selection of a suitable cluster based on current cluster utilization data and distance from users. Since users and clusters are anonymized from each other, a trusted payment scheme and permission access control are presented to assure both parties. As the system leverages off-chined and on-chained data exchange to carry out the operation, the secure gateway is proposed to mitigate technical difficulty from the client’s perspective and ensure information is securely flowing to and from legitimate actors. The result of this work ensures HPC service providers can maximize the utilization of their resources and monetize idle computing time, while users can access demanded resources conveniently and pay at a reasonable price.