A Composition of Monitoring Services for the LHC Computing Grid

被引:0
|
作者
Kim, Beob Kyun [1 ]
Park, Sang Bae [1 ]
Jang, Haeng Jin [1 ]
Kim, Jin Suk [2 ]
机构
[1] Korea Inst Sci & Technol Informat, Sci Div E, Taejon 305805, South Korea
[2] Univ Seoul, Sch Comp Sci, Seoul 130743, South Korea
关键词
LHC; LCG; Grid; Monitoring; Service compositio;
D O I
10.3938/jkps.55.2062
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The Large hadron collider (LHC) generates 12-14 petabytes of data each year, equivalent to 20 million of CDs. The LHC computing grid (LCG) is the grid infrastructure to process those data and has huge number of scientific computing centers spread across Europe, America, and Asia to meet this unprecedented computing and storage requirement. To meet those needs, the LCG is using many monitoring services. To improve and guarantee the reliability of grid infrastructure, site administrators should use several monitoring services and visit several pages for each service. In this paper, we propose a method to provide an integrated view to LCG users by using the service composition approach. With the proposed approach, we can get the reliability of site operation and the flexibility to afford new monitoring aspects. Also, we can make the monitoring process secure.
引用
收藏
页码:2062 / 2066
页数:5
相关论文
共 50 条
  • [1] Distributed Monitoring Infrastructure for Worldwide LHC Computing Grid
    Andrade, P.
    Babik, M.
    Bhatt, K.
    Chand, P.
    Collados, D.
    Duggal, V.
    Fuente, P.
    Hayashi, S.
    Imamagic, E.
    Joshi, P.
    Kalmady, R.
    Karnani, U.
    Kumar, V.
    Lapka, W.
    Quick, R.
    Tarragon, J.
    Teige, S.
    Triantafyllidis, C.
    INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS 2012 (CHEP2012), PTS 1-6, 2012, 396
  • [2] Critical services in the LHC computing
    Sciaba, A.
    17TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP09), 2010, 219
  • [3] The LHC computing grid project at CERN
    Lamanna, M
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2004, 534 (1-2): : 1 - 6
  • [4] The commissioning of CMS computing centres in the worldwide LHC computing Grid
    Belforte, S.
    Fanfani, A.
    Fisk, I.
    Fix, J.
    Hernandez, J.
    Klem, J.
    Letts, J.
    Magini, N.
    Miccio, V.
    Padhi, S.
    Saiz, P.
    Sciaba, A.
    Wuerthwein, F.
    2008 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (2008 NSS/MIC), VOLS 1-9, 2009, : 1238 - +
  • [5] The Worldwide LHC Computing Grid (worldwide LCG)
    Shiers, Jamie
    COMPUTER PHYSICS COMMUNICATIONS, 2007, 177 (1-2) : 219 - 223
  • [6] Data management technologies in LHC Computing Grid
    Zappi, R.
    NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA C-COLLOQUIA ON PHYSICS, 2009, 32 (02): : 279 - 282
  • [7] LHC Grid Computing in Russia: present and future
    Berezhnaya, A.
    Dolbilov, A.
    Ilyin, V.
    Korenkov, V.
    Lazin, Y.
    Lyalin, I.
    Mitsyn, V.
    Ryabinkin, E.
    Shmatov, S.
    Strizh, T.
    Tikhonenko, E.
    Tkachenko, I.
    Trofimov, V.
    Velikhov, V.
    Zhiltsov, V.
    20TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP2013), PARTS 1-6, 2014, 513
  • [8] Grid computing and active services
    Schulze, B
    Madeira, ERM
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2004, 16 (05): : 535 - 542
  • [9] Experiment Dashboard - a generic, scalable solution for monitoring of the LHC computing activities, distributed sites and services
    Andreeva, J.
    Cinquilli, M.
    Dieguez, D.
    Dzhunov, I.
    Karavakis, E.
    Karhula, P.
    Kenyon, M.
    Kokoszkiewicz, L.
    Nowotka, M.
    Ro, G.
    Saiz, P.
    Sargsyan, L.
    Schovancova, J.
    Tuckett, D.
    INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS 2012 (CHEP2012), PTS 1-6, 2012, 396
  • [10] Deploying the LHC computing Grid - The LCG service challenges
    Bird, I
    Robertson, L
    Shiers, J
    Local to Global Data Interoperability - Challenges and Technologies: BEYOND MASS STORAGE TO GLOBALLY DISTRIBUTED DATA, 2005, : 160 - 165