The scheduling algorithm generally only considers the factors that directly affect the computing performance, such as processor, internal and external storage, and network, but ignores the data itself. In data-intensive computing applications, data…
In the era of big data, data has become a new factor of production. During the operation and maintenance of the data center, rich operation data have been accumulated. How to effectively manage, analyze and mine the massive data accumulated in the…
Machine learning libraries are integral to a big data mining platform. There are three limitations on adopting current machine learning libraries in such a platform. First, these algorithms are not implemented for handling both online and offline big…
Distribution service restoration (DSR) is critical for improving the resilience and reliability of modern distribution systems by strategically and sequentially energizing the system components and customer loads. Restoring electricity service to…
Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. Crude oil is the most imported energy in the world.…
The microseismic monitoring technique is widely applied to petroleum reservoirs to understand the process of hydraulic fracturing. Geophones continuously record the microseismic events triggered by fluid injection on the Earth’s surface or in…
Oil & Gas (O&G) industry is extending the extraction operation to remote offshore sites. Cost-effective, efficient, and nature-friendly oil extraction is a challenging issue in these remote sites, due to the disaster-prone nature of oil extraction…
The article present. The issue of heat integration of material and energy flows is considered, and the ultimate goal is to reduce the consumed energy resources. For this, a mathematical model of the process is drawn up. All endothermic and exothermic…
To process continuous sensor data in Internet of Things (IoT) environments, this study optimizes queries using multiple MJoin operators. To achieve efficient storage management, it classifies and reduces data using a support vector machine (SVM)…
Fast and accurate remote sensing image retrieval from large data archives has been an important research topic in the remote sensing research literature. Recently, hashing-based remote sensing image retrieval has attracted extreme attention because…
Data integrity has become an extremely important security issue in cloud-assisted wireless body area networks (WBANs). As accurate medical diagnostic analysis is heavily based on outsourced electronic medical data in cloud storage, any corrupted data…
Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. Crude oil is the most imported energy in the world.…
Time-delay estimation (TDE) for thin top layers of asphalt pavement is a challenging task due to the limited resolution of ground penetrating radar (GPR) as well as small permittivity difference between top layers. Echoes backscattered from the…