Toward globally optimal resource management in large-scale real-time distributed computer systems

被引:4
|
作者
Kirn, KHK
机构
关键词
resource allocation; scheduling; quality of service; risk; risk incursion function; potential risk; middleware; fault tolerance; real time;
D O I
10.1109/FTDCS.1997.644734
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses the issues and promising approaches in (1) obtaining rigorous specifications of the quality-of-service (QoS) requirements associated with application functions and (2) using such specifications as the main driver for cost-effective resource allocation. The application environments in which component failures must be handled with sufficient efficiency in order not to miss the application objectives and also execution resource requirements of various application functions can change dynamically, are considered. The importance of structuring various resource users, i.e., application software components and middleware components, in easily analyzable forms, is emphasized. A promising middleware architecture that supports application software structured in real-time object-oriented forms and also manages execution resources for fault-tolerant system operations, is presented.
引用
收藏
页码:248 / 256
页数:9
相关论文
共 50 条
  • [1] DRACON: QoS management for large-scale distributed real-time databases
    Kang, Woochul
    Son, Sang H.
    Stankovic, John A.
    [J]. Journal of Software, 2009, 4 (07) : 747 - 757
  • [2] Toward adaptable distributed real-time computer systems
    Baba, MD
    Ekiz, H
    Kutlu, A
    Powner, ET
    [J]. THIRD INTERNATIONAL WORKSHOP ON REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS, PROCEEDINGS, 1996, : 170 - 175
  • [3] Decomposition and distributed optimization of real-time traffic management for large-scale railway networks
    Luan, Xiaojie
    De Schutter, Bart
    Meng, Lingyun
    Corman, Francesco
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 141 (141) : 72 - 97
  • [4] A Real-Time Distributed Architecture for Large-Scale Tactile Sensing
    Baglini, Emanuele
    Youssefi, Shahbaz
    Mastrogiovanni, Fulvio
    Cannata, Giorgio
    [J]. 2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, : 1663 - 1669
  • [5] DEVS approach to real-time RTI design for large-scale distributed simulation systems
    Boukerche, Azzedine
    Zhang, Ming
    Shadid, Ahmad
    [J]. SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2008, 84 (05): : 231 - 238
  • [6] Adaptive resource management middleware in distributed real-time systems
    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
    不详
    [J]. Dianzi Keji Diaxue Xuebao, 2008, 1 (101-104):
  • [7] Harmony: Integrated Resource and Reputation Management for Large-Scale Distributed Systems
    Shen, Haiying
    Liu, Guoxin
    [J]. 2011 20TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS (ICCCN), 2011,
  • [8] Robustness of large-scale distributed computer systems
    Khoroshevsky, VG
    [J]. EUROSIM '96 - HPCN CHALLENGES IN TELECOMP AND TELECOM: PARALLEL SIMULATION OF COMPLEX SYSTEMS AND LARGE-SCALE APPLICATIONS, 1996, : 141 - 150
  • [9] Globally optimal real-time distributed fusion of multi-channel observation systems
    Cui, Peng
    Zhang, Huanshui
    Wang, Hongxia
    Feng, Jun-e
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2014, 8 (06): : 384 - 388
  • [10] New advances in large-scale distributed simulation and real-time applications
    Moretti Annoni Notare, Mirela Sechi
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2016, 28 (12): : 3257 - 3259