Measures for the quality of a multi-processor system

被引:0
|
作者
Hoja, H. [1 ]
Zeisel, G. [2 ]
机构
[1] IBM Laboratorium Böblingen, Germany
[2] IBM Laboratorium Wien, Germany
来源
IT - Information Technology | 1974年 / 16卷 / 1-6期
关键词
Multiprocessing systems;
D O I
10.1524/itit.1974.16.16.104
中图分类号
学科分类号
摘要
Performance measures, namely the quality-factor, the bandwidth and the balancing factor, are introduced which can be used to demonstrate and compare the quality of terminal oriented multi-processor systems. The quality-factor relates the system in-time of a job to the processor utilization and thus characterizes the economic use of a system, whereas the bandwidth defines the range of the effectiveness of a system under variation of the workload. The balancing factor is a measure to describe the optima! configuration of a system. The properties of these measures are shown with the help of a queuing network model of a simple multi-processor system. © 1974 De Gruyter Oldenbourg. All rights reserved.
引用
收藏
页码:104 / 108
相关论文
共 50 条
  • [21] RELIABILITY ANALYSIS OF MULTI-PROCESSOR SYSTEM WITH COMMON CAUSE FAILURE
    Mishra, Ashish
    Jain, Madhu
    JOURNAL OF RAJASTHAN ACADEMY OF PHYSICAL SCIENCES, 2013, 12 (02): : 167 - 180
  • [22] Multi-processor computer system having low power consumption
    Olsen, CM
    Morrow, LA
    POWER-AWARE COMPUTER SYSTEMS, 2003, 2325 : 53 - 67
  • [23] The Design And Implementation Of Crossbar In SMP Symmetrical Multi-Processor System
    Li QingBao
    Niu XiaoPeng
    Zeng GuangYu
    ISCSCT 2008: INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND COMPUTATIONAL TECHNOLOGY, VOL 1, PROCEEDINGS, 2008, : 626 - 629
  • [24] A parallel CNC system architecture based on Symmetric Multi-processor
    Fu, Hongya
    Li, Cong
    Fu, Yunzhong
    PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016), 2016, : 634 - 637
  • [25] On a multi-processor system based on a cross-switching network
    1600, Huazhong Univ of Sci & Technol & Wuhan Archit Des Inst, Wuhan, China (23):
  • [26] Runtime adaptive multi-processor system-on-chip:: RAMPSoC
    Goehringer, Diana
    Huebner, Michael
    Schatz, Volker
    Becker, Juergen
    2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8, 2008, : 3236 - 3242
  • [27] Parallel Information Extraction on shared memory multi-processor system
    Shan, Jiulong
    Chen, Yurong
    Diao, Qian
    Zhang, Yimin
    2006 INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, PROCEEDINGS, 2006, : 311 - 318
  • [28] Analysis of System Reliability for Cache Coherence Scheme in Multi-Processor
    Li, Sizhao
    Lin, Shan
    Chen, Deming
    Wong, W. Eric
    Guo, Donghui
    2014 IEEE EIGHTH INTERNATIONAL CONFERENCE ON SOFTWARE SECURITY AND RELIABILITY - COMPANION (SERE-C 2014), 2014, : 247 - 251
  • [29] Multiconstraint task scheduling in multi-processor system by neural network
    Chen, RM
    Huang, YM
    TENTH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1998, : 288 - 294
  • [30] Dynamic Measurement of Task Scheduling Algorithm in Multi-Processor System
    谢盈
    吴尽昭
    陈建英
    崔梦天
    Journal of Shanghai Jiaotong University(Science), 2019, 24 (03) : 372 - 380