An asynchronous middleware for Grid resource monitoring

被引:2
|
作者
Quéma, V [1 ]
Lachaize, R [1 ]
Cecchet, E [1 ]
机构
[1] INRIA Rhone Alpes, IMAG, Sardes Project LSR, F-38334 Saint Ismier, France
关键词
Grid computing; resource monitoring; asynchronous middleware; components;
D O I
10.1002/cpe.831
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Resource management in a Grid computing environment raises several technical issues. The monitoring infrastructure must be scalable, flexible, configurable and adaptable to support thousands of devices in a highly dynamic environment where operational conditions are constantly changing. We propose to address these challenges by combining asynchronous communications with reflective component-based technologies. We introduce DREAM (Dynamic REflective Asynchronous Middleware), a Java component-based message oriented middleware. Asynchronous communications are used to achieve the scalability and flexibility objectives, whereas the reflective component technology provides the complementary configurability and adaptability features. We argue that this infrastructure is a viable approach to build a resource monitoring infrastructure for Grid computing. Moreover, DREAM makes the monitoring logic accessible from ME application servers. This allows the monitoring information to be presented as a Grid service and to integrate within the Open Grid Software Architecture. Copyright (C) 2004 John Wiley Sons, Ltd.
引用
收藏
页码:523 / 534
页数:12
相关论文
共 50 条
  • [41] Resource allocation in grid computing
    Koole, Ger
    Righter, Rhonda
    JOURNAL OF SCHEDULING, 2008, 11 (03) : 163 - 173
  • [42] A taxonomy of grid resource brokers
    Kertesz, Attila
    Kacsuk, Peter
    DISTRIBUTED AND PARALLEL SYSTEMS: FROM CLUSTER TO GRID COMPUTING, 2007, : 201 - +
  • [43] DDDAS/ITR: A data mining and exploration middleware for grid and distributed computing
    Weissman, Jon B.
    Kumar, Vipin
    Chandola, Varun
    Eilertson, Eric
    Ertoz, Levent
    Simon, Gyorgy
    Kim, Seonho
    Kim, Jinoh
    COMPUTATIONAL SCIENCE - ICCS 2007, PT 1, PROCEEDINGS, 2007, 4487 : 1222 - +
  • [44] A Data Processing Framework for Cloud Environment Based on Hadoop and Grid Middleware
    Kim, Hyukho
    Kim, Woongsup
    Lee, Kyoungmook
    Kim, Yangwoo
    GRID AND DISTRIBUTED COMPUTING, 2011, 261 : 515 - +
  • [45] A component-based middleware framework for configurable and reconfigurable Grid computing
    Coulson, Geoff
    Grace, Paul
    Blair, Gordon
    Cai, Wei
    Cooper, Chris
    Duce, David
    Mathy, Laurent
    Yeung, Wai Kit
    Porter, Barry
    Sagar, Musbah
    Li, Wei
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2006, 18 (08) : 865 - 874
  • [46] GRFM: an efficient grid-based replication and fault tolerant middleware
    Siddesh, G. M.
    Srinivasa, K. G.
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2013, 8 (02) : 133 - 147
  • [47] Asynchronous replica exchange software for grid and heterogeneous computing
    Gallicchio, Emilio
    Xia, Junchao
    Flynn, William F.
    Zhang, Baofeng
    Samlalsingh, Sade
    Mentes, Ahmet
    Levy, Ronald M.
    COMPUTER PHYSICS COMMUNICATIONS, 2015, 196 : 236 - 246
  • [48] User-Friendly and Reliable Grid Computing Based on Imperfect Middleware
    van Nieuwpoort, Rob V.
    Kielmann, Thilo
    Bal, Henri E.
    2007 ACM/IEEE SC07 CONFERENCE, 2010, : 604 - 614
  • [49] Analyzing software component graphs of grid middleware: Hint to performance improvement
    Yuan, Pingpeng
    Jin, Hai
    Deng, Kang
    Chen, Qingcha
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, PROCEEDINGS, 2008, 5022 : 305 - 315
  • [50] Multicore Asynchronous Simulation of Spiking Neural Networks on the Grid
    Joldos, Marius
    Muntean, Ioan Lucian
    2013 ROEDUNET INTERNATIONAL CONFERENCE (ROEDUNET): NETWORKING IN EDUCATION, 11TH EDITION, 2013,