Adaptive Resource Management (ARM) middleware - the path for using COTS in space

被引:0
|
作者
Samson, JR [1 ]
Markiewicz, C [1 ]
机构
[1] Honeywell Space Syst, Clearwater, FL 33764 USA
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Most COTS (Commercial-Off-The-Shelf) hardware and software are designed to be used in benign environments, not the harsh environment of space in which radiation effects, such as total dose and the predominance of SEU (Single Event Upset) phenomena, have a major impact on the design and operation of spacecraft and payloads. One solution is to modify the COTS hardware and/or software to make it space compatible. This is a less desirable solution because once it is modified, for all intents and purposes, it is no longer COTS. An alternative solution is to develop an architecture which allows the use of COTS hardware and software as is, while providing the necessary fault tolerance and power management features not found in the commercial hardware and software. This paper describes such an architecture based on the ARM concept including identification of the hooks, features, and interfaces needed to fly COTS in space.
引用
收藏
页码:263 / 277
页数:15
相关论文
共 50 条
  • [31] Adaptive QoS and resource management using a posteriori workload characterizations
    Welch, LR
    Werme, PV
    Ravindran, B
    Fontenot, LA
    Masters, MW
    Mills, DW
    Shirazi, BA
    PROCEEDINGS OF THE FIFTH IEEE REAL-TIME TECHNOLOGY AND APPLICATIONS SYMPOSIUM, 1999, : 266 - 275
  • [32] Adaptive Resource Management for a Vague Environment Using Cognitive Radio
    Khedr, Mohamed
    Shatila, Hazem
    Reed, Jeffrey H.
    PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 5, 2010, : 581 - 589
  • [33] Adaptive QoS and resource management using a posteriori workload characterizations
    Welch, Lonnie R.
    Werme, Paul V.
    Ravindran, Binoy
    Fontenot, Larry A.
    Masters, Michael W.
    Mills, D.Wayne
    Shirazi, Behrooz A.
    Real-Time Technology and Applications - Proceedings, 1999, : 266 - 275
  • [34] Resource Management for Scalable Video Using Adaptive Bargaining Solution
    Lee, Yonghun
    Jung, Jae-Yoon
    Suh, Doug Young
    MULTIMEDIA, COMPUTER GRAPHICS AND BROADCASTING, PT I, 2011, 262 : 1 - 9
  • [35] Arm path planning of a space robot with angular momentum
    Yamada, K
    Yoshikawa, S
    Fujita, Y
    ADVANCED ROBOTICS, 1995, 9 (06) : 693 - 709
  • [36] Resource Space Management Systems
    Baez, Marcos
    Casati, Fabio
    ECOWS'09: PROCEEDINGS OF THE 7TH IEEE EUROPEAN CONFERENCE ON WEB SERVICES, 2009, : 3 - 4
  • [37] An adaptive load balancing management technique for RFID middleware systems
    Chae, Heung Seok
    Park, Jae Geol
    Cui, Jian Feng
    Lee, Joon Sang
    SOFTWARE-PRACTICE & EXPERIENCE, 2010, 40 (06): : 485 - 506
  • [38] Analytical Model for Adaptive QoS Management at the Middleware Level in IoT
    Banouar, Yassine
    Monteil, Thierry
    Chassot, Christophe
    2017 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2017, : 1201 - 1208
  • [39] Runtime Middleware for the Generation of Adaptive User Interfaces on Resource-Constrained Devices
    Yaici, Karim
    Kondoz, Ahmet
    2008 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT, VOLS 1 AND 2, 2008, : 599 - 604
  • [40] A Conceptual Design of an Inattention Management Middleware with Adaptive Target Saliency
    Nicosia, Max
    Kristensson, Per Ola
    2020 IEEE AEROSPACE CONFERENCE (AEROCONF 2020), 2020,