A Platform of Scientific Workflows for Orchestration of Parallel Components in a Cloud of High Performance Computing Applications

被引:5
|
作者
Silva, Jefferson de Carvalho [1 ]
de Carvalho Junior, Francisco Heron [1 ]
机构
[1] Univ Fed Ceara, Ciencia Comp, Fortaleza, Ceara, Brazil
来源
关键词
MODEL;
D O I
10.1007/978-3-319-45279-1_11
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
HPC Shelf is a proposal of a cloud computing platform for development, deployment and execution of component-based HPC applications with large-scale parallel processing requirements. Through components, it addresses the challenge of dealing with heterogeneous resources in high-end parallel computing systems, including both software and hardware. This paper introduces SAFe, a framework for deriving HPC Shelf applications, and SAFeSWL, a scientific workflow language for describing the architectural and orchestration parts of parallel computing systems deployed by HPC Shelf applications through SAFe.
引用
收藏
页码:156 / 170
页数:15
相关论文
共 50 条
  • [31] Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems
    Chowdhury, Fahim
    Zhu, Yue
    Di Natale, Francesco
    Moody, Adam
    Gonsiorowski, Elsa
    Mohror, Kathryn
    Yu, Weikuan
    PROCEEDINGS OF 2020 IEEE/ACM FIFTH INTERNATIONAL PARALLEL DATA SYSTEMS WORKSHOP (PDSW 2020), 2020, : 34 - 39
  • [32] Designing and Deploying a Scientific Computing Cloud Platform
    Zhao, Yong
    Zhang, Yanzhe
    Tian, Wenhong
    Xue, Ruini
    Lin, Cui
    2012 ACM/IEEE 13TH INTERNATIONAL CONFERENCE ON GRID COMPUTING (GRID), 2012, : 104 - 113
  • [33] A cloud computing platform for ERP applications
    Chen, Chin-Sheng
    Liang, Wen-Yau
    Hsu, Hui-Yu
    APPLIED SOFT COMPUTING, 2015, 27 : 127 - 136
  • [34] High Performance Computing Cloud - a Platform-as-a-Service Perspective
    Dhuldhule, Pratima
    Lakshmi, J.
    Nandy, S. K.
    2015 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA (CCBD), 2015, : 21 - 28
  • [35] Cloud Computing Network Design for High Performance Computing Implementation on Openstack Platform
    Ratna, Anak Agung Putri
    Wirianata, Tomi
    Ekadiyanto, F. Astha
    Ibrahim, Ihsan
    Husna, Diyanatul
    Purnamasari, Prima Dewi
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING (ICCIP 2017), 2017, : 356 - 360
  • [36] A high performance scientific cloud computing environment for materials simulations
    Jorissen, K.
    Vila, F. D.
    Rehr, J. J.
    COMPUTER PHYSICS COMMUNICATIONS, 2012, 183 (09) : 1911 - 1919
  • [37] Scalability of parallel scientific applications on the cloud
    Srirama, Satish Narayana
    Batrashev, Oleg
    Jakovits, Pelle
    Vainikko, Eero
    SCIENTIFIC PROGRAMMING, 2011, 19 (2-3) : 91 - 105
  • [38] Autonomic fault tolerant scheduling approach for scientific workflows in Cloud computing
    Bala, Anju
    Chana, Inderveer
    CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 2015, 23 (01): : 27 - 39
  • [39] A New Data Placement Approach for Scientific Workflows in Cloud Computing Environments
    Kchaou, Hamdi
    Kechaou, Zied
    Alimi, Adel M.
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA 2016), 2017, 557 : 330 - 340
  • [40] Cost and Time Economical Planning Algorithm for Scientific Workflows in Cloud Computing
    Hilda, Jabanjalin
    Chandrasekaran, Srimathi
    FUTURE INTERNET, 2021, 13 (10)