With the rapid development and comprehensive popularization of information technology, in order to reduce resource consumption and environmental pollution, all walks of life have made efforts to promote the construction of information technology in…
Over the past years, frameworks such as MapReduce and Spark have been introduced to ease the task of developing big data programs and applications. However, the jobs in these frameworks are roughly defined and packaged as executable jars without any…
Big data analysis technology can be used to transform massive data of oil production engineering into knowledge that can be used to guide oilfield production. Due to the lack of suitable large data analysis tools, a large data analysis software…
The construction of systems supporting spatial data has experienced great enthusiasm in the past, due to the richness of this type of data and their semantics, which can be used in the decision-making process in various fields. Thus, the problem of…
Modern SCADA systems have many sophisticated features, such as distributed architecture, distributed database, GUI interfaces, intelligent RTUs, etc. that are the results of advances in many technologies. Oil pipeline SCADA systems provide operators…
With the change of energy consumption structure, the integrated energy system coupled with multiple energy flows such as electricity, natural gas and heat is developing rapidly. At present, the decision-making center of the integrated energy park is…
Trajectory segmentation is a technique of dividing sequential trajectory into segments. These segments are building blocks to various applications. Hence a system framework is essential to support trajectory segment indexing, storage, and query. When…
Wireless sensor networks (WSNs) are mainly data-driven networks adopted to improve the Internet of Things (IoT) in terms of data throughput, energy efficiency, and self-management. Improving the data lifespan of WSN impacts the performance of the…
The massive redundant data storage and communication in network 4.0 environments have issues of low integrity, high cost, and easy tampering. To address these issues, in this article, a secure data storage and recovery scheme in the blockchain-based…
In this paper, a unified virtual cloud storage method for federated data based on the middle layer is proposed, which aims at solving the problems of the heterogeneous data sources of remote sensing data in the shared platform among the federated…