A note on new trends in data-aware scheduling and resource provisioning in modern HPC systems

被引:8
|
作者
Tao, Jie [1 ]
Kolodziej, Joanna [2 ]
Ranjan, Rajiv [3 ]
Jayaraman, Prem Prakash [3 ]
Buyya, Rajkumar [4 ,5 ]
机构
[1] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76021 Karlsruhe, Germany
[2] Cracow Univ Technol, Inst Comp Sci Res & Dev, PL-30084 Krakow, Poland
[3] CSIRO, Canberra, ACT, Australia
[4] Manjrasoft Pty Ltd, Melbourne, Vic, Australia
[5] Univ Melbourne, Cloud Comp & Distributed Syst Lab, Dept Comp Sci & Software Engn, Melbourne, Vic 3010, Australia
关键词
CLOUD;
D O I
10.1016/j.future.2015.04.016
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
引用
收藏
页码:45 / 46
页数:2
相关论文
共 50 条
  • [1] CloudFlow: A data-aware programming model for cloud workflow applications on modern HPC systems
    Zhang, Fan
    Malluhi, Qutaibah M.
    Elsayed, Tamer
    Khan, Samee U.
    Li, Keqin
    Zomaya, Albert Y.
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2015, 51 : 98 - 110
  • [2] Shared data-aware dynamic resource provisioning and task scheduling for data intensive applications on hybrid clouds using Aneka
    Tuli, Shreshth
    Sandhu, Rajinder
    Buyya, Rajkumar
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 106 : 595 - 606
  • [3] Adaptive data-aware utility-based scheduling in resource-constrained systems
    Vengerov, David
    Mastroleon, Lykomidis
    Murphy, Declan
    Bambos, Nick
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2010, 70 (09) : 871 - 879
  • [4] A new paradigm: Data-aware scheduling in grid computing
    Kosar, Tevfik
    Balman, Mehmet
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2009, 25 (04): : 406 - 413
  • [5] Data-Aware Compression for HPC using Machine Learning
    Plehn, Julius
    Fuchs, Anna
    Kuhn, Michael
    Luettgau, Jakob
    Ludwig, Thomas
    [J]. OPERATING SYSTEMS REVIEW, 2022, 56 (01) : 62 - 69
  • [6] Data-Aware Support for Hybrid HPC and Big Data Applications
    Caino-Lores, Silvina
    Isaila, Florin
    Carretero, Jesus
    [J]. 2017 17TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2017, : 719 - 722
  • [7] Data-Aware Compression for HPC using Machine Learning
    Plehn, Julius
    Fuchs, Anna
    Kuhn, Michael
    Lüttgau, Jakob
    Ludwig, Thomas
    [J]. Operating Systems Review (ACM), 2022, 56 (01): : 62 - 69
  • [8] A Critical Path File Location (CPFL) algorithm for data-aware multiworkflow scheduling on HPC clusters
    Acevedo, Cesar
    Hernandez, Porfidio
    Espinosa, Antonio
    Mendez, Victor
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 74 : 51 - 62
  • [9] A data-aware resource broker for data grids
    Le, H
    Coddington, P
    Wendelborn, AL
    [J]. NETWORK AND PARALLEL COMPUTING, PROCEEDINGS, 2004, 3222 : 73 - 82
  • [10] Data-aware task scheduling on heterogeneous hybrid memory multiprocessor systems
    Chen, Junjie
    Li, Kenli
    Tang, Zhuo
    Liu, Chubo
    Wang, Yan
    Li, Keqin
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2016, 28 (17): : 4443 - 4459