A unified strategy for dynamic mapping in grid computing environments

被引:1
作者
Liu, Ying [1 ]
Wei, Jun [1 ]
Yu, KanMin [1 ]
Zhou, WanYin [1 ]
Xia, JingBo [1 ]
机构
[1] Univ AF Engn, Telecommun Engn Inst, Xian, Shanxi Province, Peoples R China
来源
2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS | 2007年
关键词
grid; mapping; immediate mode; batch mode; utility function;
D O I
10.1109/ICMA.2007.4303913
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A unified strategy for dynamic mapping in grid computing environments is brought forward. Immediate mode and batch mode are symbiotic and can switch adaptively in our strategy. It uses MCT for the immediate mode mapping and an improved sufferage algorithm, called Utility-Sufferage for the batch mode scheduling which the utility functions are defined to assure diverse QoS demands of tasks. The experimental results indicate that the improved scheme can achieve higher performances than the benchmark algorithms subject to varying task flow in grid computing environments.
引用
收藏
页码:2309 / 2313
页数:5
相关论文
共 50 条
  • [31] Dynamic Load Balancing Policy in Grid Computing with Multi-Agent System Integration
    Yahaya, Bakri
    Latip, Rohaya
    Othman, Mohamed
    Abdullah, Azizol
    SOFTWARE ENGINEERING AND COMPUTER SYSTEMS, PT 1, 2011, 179 : 416 - 424
  • [32] Unified Access to Grid and HPC Resources
    Owsiak, Michal
    Palak, Bartek
    Plociennik, Marcin
    Campos, Isabel
    Fernandez, Enol
    Cabellos, Luis
    Guillerminet, Bernard
    PROCEEDINGS OF THE 18TH EUROMICRO CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING, 2010, : 468 - 475
  • [33] Distributed computing with Triana on the Grid
    Taylor, I
    Wang, I
    Shields, M
    Majithia, S
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2005, 17 (09) : 1197 - 1214
  • [34] TECHNOLOGICAL ASPECTS OF GRID COMPUTING
    Shrihari, Solanke Vikas
    Vishnu, Maske
    Pawan, Katgaonkar
    Mahajan, Shivkumar
    2015 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS (ICECS), 2015, : 1463 - 1467
  • [35] Grid computing and biomolecular simulation
    Woods, CJ
    Ng, MH
    Johnston, S
    Murdock, SE
    Wu, B
    Tai, K
    Fangohr, H
    Jeffreys, P
    Cox, S
    Frey, JG
    Sansom, MSP
    Essex, JW
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2005, 363 (1833): : 2017 - 2035
  • [36] Trusting agents for grid computing
    Dyson, JRD
    Griffiths, NE
    Keung, HNLC
    Jarvis, SA
    Nudd, GR
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3187 - 3192
  • [37] Coordination in intelligent grid environments
    Bai, X
    Yu, H
    Wang, GQ
    Ji, YC
    Marinescu, GM
    Marinescu, DC
    Bölöni, L
    PROCEEDINGS OF THE IEEE, 2005, 93 (03) : 613 - 630
  • [38] Workload balancing model of tasks with deadlines and other QoS requirements, in service-oriented Grid computing environments
    Blanquer, Ignacio
    Hernandez, Vicente
    Segrelles, Damia
    Torres, Erik
    IBERGRID: 2ND IBERIAN GRID INFRASTRUCTURE CONFERENCE PROCEEDINGS, 2008, : 335 - 346
  • [39] DORF: A Dynamic Object Removal Framework for Robust Static LiDAR Mapping in Urban Environments
    Chen, Zhiming
    Zhang, Kun
    Chen, Hua
    Wang, Michael Yu
    Zhang, Wei
    Yu, Hongyu
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (12) : 7922 - 7929
  • [40] MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments
    Wilson, Joey
    Song, Jingyu
    Fu, Yuewei
    Zhang, Arthur
    Capodieci, Andrew
    Jayakumar, Paramsothy
    Barton, Kira
    Ghaffari, Maani
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (03) : 8439 - 8446