Satellite Cloud Architecture Based on Resource Virtualization Technology

被引:4
|
作者
Long, Jun [1 ]
Li, Cong [1 ]
Zhu, Lei [1 ]
Liu, Junfeng [1 ]
Kang, Yimo [2 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
[2] PLA 93307, Shenyang 110141, Liaoning, Peoples R China
关键词
task-driven; resource virtualization; satellite cloud; task decomposition; resource optimization;
D O I
10.1109/ICICTA.2018.00036
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, in-orbit spacecraft functions and system is relatively isolated, leading to low utilization rate of space resources. Different types of satellites coordinate poorly with each other; Task planning utilizes artificial planning and manual uploading methods, leading to low flexibility and timeliness. In response to these conditions, this paper proposes a satellite cloud architecture basing on resource virtualization technology. The architecture forms a shared resource pool with non-standardized aircraft heterogeneous resources by using virtualization technology, and user could call the standardization resources to achieve various types of space missions. The architecture can effectively coordinate multi-type spacecraft resources, including information acquisition, information processing, storage, transmission and other kind of resources, to provide wide-area high-precision remote sensing, massive data processing, highly reliable storage and efficient distribution/transmission functions, which single satellite can't achieve. The architecture can change the current task planning process to improve the flexibility and timeliness, to improve the utilization of space resources, enhancing the overall application performance of spacecraft.
引用
收藏
页码:125 / 129
页数:5
相关论文
共 50 条
  • [21] Network Virtualization Technology to Support Cloud Services
    Kitazume, Hideo
    Koyama, Takaaki
    Kishi, Toshiharu
    Inoue, Tomoko
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (08) : 2530 - 2537
  • [22] A resource & capability virtualization method for cloud manufacturing systems
    Liu, Ning
    Li, Xiaoping
    Wang, Qian
    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 1003 - 1008
  • [23] Leveraging Virtualization for Optimal Resource Management in a Cloud Environment
    Kumar, Dhrub
    Gondhi, Naveen Kumar
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 2, 2017, 469 : 371 - 382
  • [24] Optimizing Server Resource by Using Virtualization Technology
    Ali, Edwar
    Susandri
    Rahmaddeni
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMPUTATIONAL INTELLIGENCE (ICCSCI 2015), 2015, 59 : 320 - 325
  • [25] A Hierarchical Virtual Resource Management Architecture for Network Virtualization
    Lv, Bo
    Wang, Zhenkai
    Huang, Tao
    Chen, Jianya
    Liu, Yunjie
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [26] The research for building campus cloud services platform which is based on virtualization technology
    Liu, Xiaohong
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 589 - 592
  • [27] Private Cloud Computing Platform Design Research Based on Network Virtualization Technology
    Zhang, Shihong
    PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL, 2016, 67 : 1781 - 1786
  • [28] Research on Virtualization Security Service Technology Based on Open Stack Cloud Platform
    Lyn, Jun
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 157 - 157
  • [29] Distributed LSTM-based cloud resource allocation in Network Function Virtualization Architectures
    Catena, Tiziana
    Eramo, Vincenzo
    Panella, Massimo
    Rosato, Antonello
    COMPUTER NETWORKS, 2022, 213
  • [30] A Cloud Gaming System Based on User-Level Virtualization and Its Resource Scheduling
    Zhang, Youhui
    Qu, Peng
    Cihang, Jiang
    Zheng, Weimin
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 27 (05) : 1239 - 1252