Introduction

The explosive growth of aerospace sensing data poses great challenges to data storage, query, and analysis. Benefiting from the flexible structure of the graph, it was widely used to represent complex linked data, such as social network data, chemical engineering data, and aerospace sensing data. Graph computing has become one of the main paradigms of the complexity linking big data processing, it also becomes the core technology of aerospace big data analysis. Due to the particularity of its application, aerospace big data has its own chrematistics such as ubiquity, multi-dimensional dynamics, and complexity linked. In order to process big aerospace data efficiently, we need high-performance big data processing frameworks, optimization technologies, and some recent remote sensing technologies. We can only process big aerospace data efficiently with fuse multidisciplinary technologies, such as data processing and earth science techniques. On the other hand, big aerospace data can also help us better to understand the earth and provide reliable spatiotemporal information for comprehensive and accurate judgment and decision-making, through multi-scale, multi-resolution, multi-temporal space data and technologies.

Due to the large scale of the graphs, most of the early graph computing systems adopted the distributed architecture. Google calculates the PageRank value of the web pages by using the MapReduce programming model in the early days. Graph processing with MapReduce is with low efficiency due to the large-scale iteration of graph processing. In order to solve this problem, Google developed the Pregel to process large-scale graphs. Subsequently, many graph processing systems based on heterogeneous memory environments such as GPU and PIM were proposed, such as X-Stream, GunRock, GraphPIM, etc. Due to the poor locality, random memory accessing model, and high memory access ratio in graph processing, the graph partition, fault tolerance, synchronization, and load balancing have encountered a series of challenges. On the other hand, the asymmetric characteristics of the IoT and aerospace sensing graphs further exacerbate these challenges.

Recommended topics (but not limited to)

The special issue aims to present a collection of high-quality research papers on the state-of-the-art in emerging technologies for the applications of recent trends in the Graph Powered Big Aerospace Data Processing domain. We are soliciting original contributions that have not been published and are not currently under consideration by any other journals. Both theoretical studies and state-of-the-art practical applications are welcome for submission. All submitted papers will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this special issue.

• Memory management technologies of the heterogeneous system for big aerospace data
• Workload management technologies of the heterogeneous system for big aerospace data
• Storage heterogeneity technologies of the heterogeneous system for big aerospace data
• Software design on the heterogeneous system for big aerospace data
• Data mining approaches on heterogeneous system
• Data visualization approaches on heterogeneous system
• Machine learning fusion approaches for big aerospace data
• Multi-source data-driven decision-making systems for aerospace data
• Deep learning models for time series data and for big aerospace data
• Multi-task IoT system modeling and analysis
• Hybrid intelligent models for IoT context-aware systems
• Data security and privacy for multi-source big aerospace data
• Fault-tolerant, redundant systems for multi-source big aerospace data
• Visualization techniques for multi-source big aerospace data

Important dates

Submission deadline: 31 March, 2024

Authors notification: 31 May, 2024

Revision submission: 30 June, 2024

Final acceptance notification: 31 July, 2024

Final manuscript submission: 31 August, 2024

Completion of Special Issue: September, 2024

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Zhigao Zheng, School of Computer Science, Wuhan University, China, email: zhengzhigao@pku.edu.cn

Dr. Zhigao Zheng is with Wuhan University. His current research interests focus on cloud computing, big data processing, and AI systems. He published more than 20 peer-reviewed publications (such as the IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers). He is the associate editor of some high quality journals, such as the IEEE Transactions on Consumer Electronics. He joins research projects from a variety of governmental and industrial organizations, such as the National Science Foundation of China (NSFC), Ministry of Science and Technology, Ministry of Education.

Joel J. P. C. Rodrigues, IEEE Fellow, Senac Faculty of Ceará, Fortaleza-CE, Brazil, email: joeljr@ieee.org

Joel J. P. C. Rodrigues [Fellow, IEEE & AAIA] is with Senac Ceará, Brazil; and full professor at the COPELABS, Lusófona University, Lisbon, Portugal. Prof. Rodrigues is an Highly Cited Researcher (Clarivate), N. 1 of the top scientists in computer science in Brazil (Research.com), the leader of the Next Generation Networks and Applications (NetGNA) research group (CNPq), Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis – Covilhã Science and Technology Park. He was Director for Conference Development - IEEE ComSoc Board of Governors, an IEEE DistinguishedLecturer, Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc Technical Committee (TC) on eHealth and the TC on Communications Software, a Steering Committee member of the IEEE Life Sciences Technical Community and Publications co-Chair. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and editorial board member of several high-reputed journals (mainly, from IEEE). He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1150 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of AAIA and IEEE.

Shahid Mumtaz, IET Fellow, Nottingham Trent University, UK, email: shahid.mumtaz@ntu.ac.uk

Shahid Mumtaz (IET Fellow) is IEEE ComSoc and ACM Distinguished speaker, recipient of IEEE ComSoC Young Researcher Award, founder and EiC of IET “Journal of Quantum communication,”EiC of Alexandria Engineering Journal – Elsevier, Vice-Chair: Europe/Africa Region- IEEE ComSoc: Green Communications & Computing society and Vice-chair for IEEE standard on P1932.1: Standard for Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks. His work resulted in technology transfer to companies and patented technology. His expertise lies in 5G/6G wireless technologies using AI/ML and Digital Twin(VR/XR) tools and innovation path towards industrial and academic. Moreover, he worked as Senior 5G Consultant at Huawei and InterDigital, where he contributed to RAN1/RAN2 and looked after the university-industrial collaborative projects.