Big Data related Applications and Technologies for Sustainable Computing
摘要截稿:
全文截稿: 2018-07-31
影响因子: 2.798
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 4区
• 小类 : 计算机:硬件 - 4区
• 小类 : 计算机:信息系统 - 4区
Overview
With the advances in information communication technologies, it has become increasingly critical to improve the efficiency and accuracy of modern data processing techniques. The past decade has witnessed tremendous advances in Sensor Networks, Internet/Web of Things, Cloud Computing, Mobile/Embedded Computing, Spatial/Temporal Data Processing, and Big Data, and these technologies have provided new opportunities and solutions to data processing techniques. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used computing platforms for capturing, managing, and processing the data. Such datasets often arise from various sources that are unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs. Moreover, the data sets are of large size requiring fast input and output. More importantly, big data has to be of high value and establish its trust for business decision making. Various technologies are being explored to support the handling of big data such as massively parallel processing databases, scalable storage systems, and fog and cloud computing platforms. Big data is more than simply a matter of size; it provides opportunities to find insights in new and emerging types of content, which allows to make business more agile and to answer questions that were previously considered beyond our reach. This special issue aims to demonstrate the emerging issues in the research of Big Data including various approaches, algorithms, hardware, and software towards its processing. Original and research articles are solicited in all aspects including theoretical studies, practical applications, and experimental prototypes. This special issue focuses on big data processing, analysis, and understanding that support sustainable environments. Topics of interests include, but are not limited to:
- Geography Big Data Mining and Exploration
- Big Data for Smart Cities and Smart Homes
- Large-scale Sustainable
- infrastructure and smart buildings
- Large-scale Human Activities Data Computing
- Sustainability Analysis of Energy Distributions
- Internet of Things (IoT) services and applications
- Big Data Information Security for Sustainability
- Knowledge-based systems, computing and visualization for Sustainability
- Computational intelligence and algorithms for Sustainability