Intelligent Monitoring of Data Center Physical Infrastructure

被引:4
|
作者
Matko, Vojko [1 ]
Brezovec, Barbara [2 ]
Milanovic, Miro [1 ]
机构
[1] Univ Maribor, Fac Elect Engn & Comp Sci, Koroska C 46, SLO-2000 Maribor, Slovenia
[2] NTR Inzeniring Doo, Ulica Pohorskega Bataljona 14, Maribor 2000, Slovenia
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 23期
基金
美国国家科学基金会;
关键词
intelligent monitoring; reduced number of events; fast main event identification; physical infrastructure system; alarm reduction; THERMAL MANAGEMENT; ENERGY EFFICIENCY; POWER-SYSTEMS; DESIGN; OPTIMIZATION; ACQUISITION; QUALITY; TRENDS; TIME;
D O I
10.3390/app9234998
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper presents a new intelligent monitoring and event management method for data center physical infrastructure based on multilayer node event processing. The priorities of highly classified data centers are not only the maintenance of the highest level of reliability and availability of the operation, but also fast, specific event identification and energy consumption monitoring, which altogether improve the level of energy efficiency. The new method, using a tree node for each device, improves information about the events in a specific node. Its major advantage is that in the case of a large number of nodes, it considerably reduces the number of identified events (alarms/alerts) that might be the main cause. Fast event processing lowers data center physical infrastructure operating costs, improving at the same time the level of energy efficiency. The experimental results show that the use of tree nodes significantly reduces the number of unexpected events, the time needed for the main event identification, and the maintenance response time to events. By using event entities processing, multilayer nodes have a significant impact on the efficient operation of data center physical infrastructure.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Anomaly Detection in Data Center IT & Physical Infrastructure
    Ronchieri, Elisabetta
    Giommi, Luca
    Scarponi, Luigi Benedettto
    Torzi, Luca
    Costantini, Alessandro
    Duma, Doina Cristina
    Salomoni, Davide
    26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS, CHEP 2023, 2024, 295
  • [2] AIOps Architecture in Data Center Site Infrastructure Monitoring
    Dong, Wei
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [3] A New Approach to Data Center Infrastructure Monitoring and Management (DCIMM)
    Levy, Moises
    Hallstrom, Jason O.
    2017 IEEE 7TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE IEEE CCWC-2017, 2017,
  • [4] AC/DCIM: Acoustic Channels for Data Center Infrastructure Monitoring
    Wuestrich, Lars
    Gallenmueller, Sebastian
    Pahl, Marc-Oliver
    Carle, Georg
    PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022, 2022,
  • [5] Issues in health monitoring intelligent infrastructure
    Aktan, AE
    Helmicki, AJ
    Hunt, VJ
    SMART MATERIALS & STRUCTURES, 1998, 7 (05): : 674 - 692
  • [6] Intelligent monitoring of instrumented infrastructure facilities
    Maalej, M
    Pantazopoulou, SJ
    Karasaridis, A
    Hatzinakos, D
    MATERIALS-THE STAR AT CENTER STAGE, 1998, 30 : 278 - 292
  • [7] Structural health monitoring and intelligent infrastructure
    Wu, ZS
    Fujino, Y
    SMART MATERIALS & STRUCTURES, 2005, 14 (03):
  • [8] Data Center Infrastructure Management WLAN Networks for Monitoring and Controlling Systems
    Wiboonrat, Montri
    2014 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2014), 2014, : 226 - 231
  • [9] The AAL project: automated monitoring and intelligent analysis for the ATLAS data taking infrastructure
    Kazarov, A.
    Miotto, G. Lehmann
    Magnoni, L.
    14TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH (ACAT 2011), 2012, 368
  • [10] Intelligent Health Monitoring of Critical Infrastructure Systems
    Polycarpou, M.
    Ellinas, G.
    Kyriakides, E.
    Panayiotou, C.
    2010 COMPLEXITY IN ENGINEERING: COMPENG 2010, PROCEEDINGS, 2010, : 18 - 20