Introducing on-demand MIBs to traffic engineering

被引:0
|
作者
Chaparadza, Ranganai [1 ]
机构
[1] Fraunhofer FOKUS Inst Open Commun Syst, Berlin, Germany
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
A flexible, customizable and programmable network monitoring platform supporting the concept of On-Demand Monitoring(ODM), that provides to network management functions the ability to gather deep knowledge(i.e. monitoring data) about flow(s)-specific traffic flowing at a given point and time in the network e.g. statistics, traffic shape etc. is pivotal to driving management functions of a self-managing network. ODM is triggered or ad-hoc monitoring that transpires only when needed. A Network Management System (NMS) may require triggering the monitoring of some traffic at some ODM-supporting probes placed in strategic points in the network and demand the creation of a data model(s) reflecting some derived traffic characteristics e.g. statistics, so that the NMS or other systems may query the data model during the period in which monitoring is required for say traffic engineering. This paper introduces On-Demand MIBs as a solution to the requirement of dynamic data model(s) creation and deletion.
引用
收藏
页码:72 / 77
页数:6
相关论文
共 50 条
  • [1] A model for on-demand media streaming oriented to traffic engineering
    Wang, Dadong
    Zha, Yuhui
    Ga, Yuan
    [J]. 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 4, 2008, : 892 - 897
  • [2] Design of an on-demand traffic converger
    You, H
    Liu, ZJ
    Qiu, ZL
    Chen, P
    [J]. IEEE COMMUNICATIONS LETTERS, 2002, 6 (04) : 156 - 158
  • [3] OQR: On-demand QoS Routing without Traffic Engineering in Software Defined Networks
    Kim, Taehong
    Thang Nguyen-Duc
    [J]. 2018 4TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION AND WORKSHOPS (NETSOFT), 2018, : 362 - 365
  • [4] Introducing HERON - Higher Education Resources ON-demand
    Rowlinson, C
    [J]. LEARNED PUBLISHING, 1998, 11 (03) : 214 - 215
  • [5] Mobile on-demand services for mobility and traffic
    Kühne, R
    Dalaff, C
    Ruhé, M
    Rupp, T
    Froebel, L
    Janschek, K
    Tchernykh, V
    Behr, P
    [J]. 2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 765 - 773
  • [6] Towards Labeling On-Demand IoT Traffic
    Campos, Daniel
    OConnor, T. J.
    [J]. PROCEEDINGS OF 14TH WORKSHOP ON CYBER SECURITY EXPERIMENTATION AND TEST (CSET 2021), 2021, : 49 - 57
  • [7] Variable demand traffic modelling: Introducing realities
    Robinson, Alan
    Kennedy, William Bill
    Moselakgomo, Madametja
    [J]. Civil Engineering, 2012, (SEPTEMBER): : 17 - 20
  • [8] Methodologies for On-Demand Dispersion Engineering of Waves in Metasurfaces
    Pu, Mingbo
    Guo, Yinghui
    Ma, Xiaoliang
    Li, Xiong
    Luo, Xiangang
    [J]. ADVANCED OPTICAL MATERIALS, 2019, 7 (14):
  • [9] OST: On-Demand TSCH Scheduling with Traffic-Awareness
    Jeong, Seungbeom
    Kim, Hyung-Sin
    Paek, Jeongyeup
    Bahk, Saewoong
    [J]. IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, 2020, : 69 - 78
  • [10] An On-Demand Queue Management Architecture for a Programmable Traffic Manager
    Zhang, Qi
    Woods, Roger
    Marshall, Alan
    [J]. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2012, 20 (10) : 1849 - 1862