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CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

CNCC2024

Brief introduction of the forum:

The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Time: 13:30-17:30, October 24

Venue: 2/F, Snack Street (Wang Po Building)

Note: If there is any change, please refer to the final information on the official website (https://ccf.org.cn/cncc2024).

At present, there is still no major breakthrough in the natural sciences of human society, and the total amount of world productive forces has not increased, which has led to intensified competition between countries and serious involution within countries. Unlike the "inward" new quality productivity represented by AI, the "outward" new quality productivity represented by space is still in its infancy. What can be done for the development of human society, we computer people have been thinking, taking computer science as an example, compared with the needs of "entering the ground and going to the sea", the "sky" represented by satellites may become an important direction to promote the increase of total human productivity, and can provide new growth space and application scenarios for the development of the computer field. To this end, we have launched the Satellite Computing Forum, through which we want to focus on solving important scientific problems faced by satellite computing, such as the decomposition of computing power, the reconfigurability of networks, the extensibility of software, the integration of data, and the portability of services. In this third forum, we invited scholars who have made outstanding achievements in spaceborne software, space-based remote sensing, space-ground network, satellite AI application, and satellite Internet of Things to share their achievements and participate in dialogue. It is hoped that through this forum, more researchers can be attracted to join the research of satellite computing and face mankind together

Forum Agenda

order topic Keynote speaker unit
1 Research and practice of intelligent operation and maintenance for spaceborne control software Li Qingshan Xidian University
2 Computing-network integration: Improving space-based remote sensing service capabilities Di Xiaoqiang Changchun University of Science and Technology
3 Analysis of space segment computing requirements in space-air-ground integrated network Zhu Ye Institute of Microsatellite Innovation, Chinese Academy of Sciences
4 Satellite Internet of Things Transmission and Computing Technology Kong Linghe Shanghai Jiao Tong University
5 The development of multimodal large models and the empowerment of their application fields Dubo Wuhan University
Panel link All Forum Speakers

Introduction of the chairman and guests of the forum

Chair of the Forum

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Wang Shangguang

He is the deputy director of the CCF Service Computing Committee, a professor at Beijing University of Posts and Telecommunications, and the dean of the School of Computer Science (National Demonstration Software College).

His research interests include: satellite computing, service computing, edge intelligence, core network system, satellite operating system, etc., and he has presided over/completed more than 50 projects including the National Key R&D Program and the National Natural Science Foundation of China, and has won many scientific and technological awards such as the best paper award of many international conferences such as USENIX ATC AND IEEE ICWS, as well as the first prize of scientific and technological progress of the Chinese Institute of Electronics.

Special Guest (To Attend

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Mei Hong

He is a fellow of CCF, former chairman of the board of directors, academician of the Chinese Academy of Sciences, and professor of Peking University

Professor of Peking University, computer software expert. Academician of the Chinese Academy of Sciences, Academician of the Academy of Sciences for the Developing World, Foreign Academician of the European Academy of Sciences, CCF/ACM/IEEEFellow. Director of the Key Laboratory of High Reliability Software Technology of the Ministry of Education (Peking University), mainly engaged in the research of software engineering and system software, and has made a series of achievements in the aspects of componentized software middleware, development methodology and tool environment. He has won the first and second prizes of the National Technological Invention Award, the second prize of the National Natural Science Award, the Science and Technology Progress Award of the Ho Leung Ho Lee Foundation, the Information Technology Science Award of the Tan Kah Kee Science Award, and the IEEE Computer Society Technical Achievement Award. He has served as a member and leader of the expert group of the National 863 Program, a member of the expert group of the national "nuclear high-base" science and technology major project, the leader of the big data standard working group of the National Information Technology Standardization Technical Committee, the leader of the national key science and technology research and development project "cloud computing and big data" implementation plan preparation team and the overall team leader, and the leader of the national "Science and Technology Innovation 2030 - Major Project" big data major project proposal and implementation plan preparation team.

Special guests

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Jiang Changjun

He is a fellow of CCF, an academician of the Chinese Academy of Engineering, and a chair professor of Tongji University

Chair Professor of Tongji University, Honorary Professor of Brunel University London, Fellow of the Institution of Engineering and Technology of United Kingdom, National Outstanding Young Scientist, Chief Scientist of 973, National Outstanding Scientific and Technological Worker, National Innovation Competition Award Winner, etc. The results have obtained more than 120 invention patents in China, the United States, Germany and other countries, and 22 international PCT patents; He has published more than 300 papers (including more than 100 ACM/IEEE Bulletins) and 6 monographs in Chinese and English. He has won 1 second prize of the National Technological Invention Award (ranked 1st), 2 second prizes of the National Science and Technology Progress Award (ranked 1st in both ranks), HO PAN CHING YI Award (independent), etc. He has been committed to the research of network computing for a long time, and his relevant achievements have been positively evaluated and cited by well-known experts such as academicians of United States, United Kingdom, Germany, Sweden, and India, and presided over the establishment of the first network transaction risk prevention and control system, system and standard in mainland China, making pioneering contributions to mainland China becoming an international "leader" in this field.

Speaker

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Li Qingshan

Professor of Xidian University

He is an outstanding member of CCF, a member of the Standing Committee of CCF Software Engineering Committee, and an executive member of the System Software Committee, the Open Source Development Committee and the Big Data Committee. Secretary of the Party Committee of Xidian School of Computer Science and Technology, head of the scientific and technological innovation team of intelligent software engineering in Shaanxi Province, director of the Key Laboratory of Intelligent Software Engineering in Xi'an, and head of the first-level discipline of software engineering in Xidian. He has presided over more than 70 national, provincial and ministerial R&D projects, and tens of millions of R&D projects, published more than 130 papers in high-level journals/conferences such as ICSE and ASE, and won 6 provincial and ministerial awards.

Title: Research and Practice of Intelligent Operation and Maintenance for Spaceborne Control Software

Abstract:In the complex and changeable space environment, spaceborne control software is faced with severe challenges that threaten the security and trustworthiness of the software, such as unexpected mission changes and frequent unknown failures. Therefore, in order to ensure the long-term and stable operation of this kind of software in major tasks such as deep space exploration, the report discusses the software intelligent operation and maintenance method from manual rule-making, development to data-driven reasoning, and finally the formation of knowledge independent decision-making.

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Di Xiaoqiang

Professor of Changchun University of Science and Technology

Professor of Changchun University of Science and Technology, Ph.D. supervisor, director of the Information Center, director of the Jilin Provincial Key Laboratory of Network and Information Security, and vice chairman of the CCF Changchun Branch, funded by the Jilin Provincial Outstanding Young Talents Fund, and presided over more than 20 key projects such as the National Natural Science Foundation of China. He has won a number of science and technology awards, natural science academic achievement awards, and teaching achievement awards in Jilin Province, and won the second prize of national defense science and technology progress and the first prize of China Aerospace Science and Technology Corporation Technology Invention Award.

Title: Computing-Network Integration: Improving Space-based Remote Sensing Service Capabilities

Report Summary: Currently, remote sensing constellations are capable of obtaining images with high temporal resolution, high spatial resolution, and high spectral resolution. However, due to the limitation of the transmission rate of satellite-to-ground links and the number of ground receiving stations, the on-orbit remote sensing data cannot be transmitted back to the ground in time, and it is impossible to provide real-time services for a large number of users. This report focuses on the integration and optimization of data, network and computing resources, and introduces the work of network state awareness, dynamic reconstruction, remote sensing data caching decision-making and allocation based on spatiotemporal representation, multi-path collaborative transmission and distribution strategy, and collaborative scheduling of computing network resources.

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Zhu Ye

Researcher at the Institute of Microsatellite Innovation, Chinese Academy of Sciences

He is currently the director of the General Research Institute of Communication Satellites and the deputy director of the Key Laboratory of Satellite Digital Technology, and organizes the team to carry out research work on satellite autonomous operation, overall design for satellite manufacturing, and spaceborne software technology. He has participated in and completed a number of major national satellite projects, and has participated in or presided over more than 40 successful launches. He has won the second prize of Shanghai Science and Technology Progress Award twice and the Outstanding Scientific and Technological Achievement Award of the Chinese Academy of Sciences once.

Title: Analysis of Space Segment Computing Requirements in Space-Air-Ground Integrated Network

Report Summary: The space-air-ground integrated network integrates satellite, air, and ground networks to achieve seamless coverage and information interconnection on a global scale. The design of the space segment megaconstellation is one of the key influencing factors for the performance of the entire system. The function of satellite in network architecture design is closely related to the computing power of the space segment. In this paper, we analyze the computing requirements of the space segment in the space-air-ground integrated network for the stable and reliable operation of satellites, communication protocol processing, and integration of synaesthesia computing. The impact of key characteristics such as response time, concurrency, accuracy, resource utilization, and system stability on the different requirements of the space segment system is discussed. The system architecture design and heterogeneous distributed computing scheme for the computing requirements of the space segment of the air-space integrated network are discussed.

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Kong Linghe

Professor, Shanghai Jiao Tong University

Professor of Shanghai Jiao Tong University, Deputy Dean of the School of Telecommunications, Secretary of the General Party Branch of the School of Network Security, Changjiang Scholar Distinguished Professor, Shanghai Oriental Scholar Distinguished Professor, Chief of the National Key R&D Program, Principal of the National Natural Science Foundation of China, Deputy Director of the National Engineering Research Center for Information Content Analysis Technology. He has been engaged in research in the field of Internet of Things for a long time, published 4 monographs, published more than 200 papers, and won 15 best paper awards at international conferences. He served as the deputy chief designer of the payload of the Donghai-1 satellite, and was responsible for the research and development of the satellite Internet of Things satellite-to-ground communication payload. He serves on the editorial boards of IEEE TMC, TII, and Network.

Title: Satellite Internet of Things Transmission and Computing Technology

Report Summary: In areas that are difficult to be covered by ground base stations such as oceans and mountains, satellites are used as base stations to provide access to ground terminals to form a satellite Internet of Things. Due to the limited computing power of space, large-scale satellite remote sensing data at this stage needs to be transmitted back to the ground information customs station before it can be processed and calculated, which occupies a very scarce satellite-to-ground communication bandwidth. However, inter-satellite communication has a large amount of surplus bandwidth. Therefore, based on domestic satellites and inter-satellite communication networks, a distributed intelligent computing and network system with multi-satellite and satellite-ground integration is constructed.

CNCC | The 3rd Satellite Computing Forum: Future Opportunities and Key Challenges

Dubo

Hongyi Distinguished Professor of Wuhan University

Winner of the National Natural Science Foundation of China for Distinguished Young Scholars and Outstanding Young Scientists, Outstanding Young Scholars of Hubei Province. He is currently the director of the National Multimedia Software Engineering Technology Research Center, the director of the Development Planning and Discipline Construction Office and the dean of the School of Computer Science of Wuhan University, the executive vice president of the Institute of Artificial Intelligence of Wuhan University, and the director of the Hubei Provincial Key Laboratory of Multimedia Network Communication Engineering. He is mainly engaged in research work in computer vision and artificial intelligence. In the past five years, he has presided over and participated in more than 30 longitudinal scientific research projects such as national key R&D projects, published 23 ESI highly cited or hot papers, published 3 books, and authorized 35 national invention patents. Won the first Youth Innovation Award of Hubei Province in 2024 (preface 1), and the first prize of natural science award of Hubei Province in 2019 (preface 1); 2020 and 2021 China International Hi-tech Fair Excellent Product Award; 2020 Hubei Province First Patent Silver Award; 2019-2023 Clarivian Global Highly Cited Scholars; 2020-2023 Elsevier China Highly Cited Scholar; He has won many top conference best paper awards in the field of artificial intelligence and the champion of global competitions in the field of artificial intelligence and image processing.

Title: Development of Multimodal Large Models and Empowerment of Their Application Fields

Abstract:As an important progress in the field of artificial intelligence, multimodal large models have greatly improved the multimodal understanding and human-computer interaction capabilities of models by integrating and learning multimodal data information such as text and vision. With the continuous development of large-scale model technology, multi-modal large-scale models are also expected to help empower the development of various industries. This report will discuss the development history, application scenarios and research challenges of multimodal large models, and introduce the research results of the team from general basic large models to multi-modal large models in medical and remote sensing vertical fields, analyze the application potential and enabling effects of multi-modal large models in specific vertical fields, and provide forward-looking perspectives for the future development and enabling applications of large model technology.

About CNCC2024

CNCC2024 will be held on October 24-26 in Hengdian Town, Dongyang City, Zhejiang Province, with the theme of "Developing New Quality Productivity, Computing Leads the Future". The three-day conference included 18 invited reports, 3 conference forums, 138 thematic forums, 34 thematic activities and more than 100 exhibitions. More than 800 speakers, including Turing Award winners, academicians of the Chinese Academy of Sciences and the Chinese Academy of Sciences, top scholars at home and abroad, and well-known entrepreneurs, looked forward to cutting-edge trends and shared their innovative achievements. More than 10,000 people are expected to attend.