@article{1615,
  author = {Zheng-ping Zhu, Ren-fang Pan, Jie MA, Zhe Chen, Pang-yun Zhong},
  title = {Journal of Digital Information Management 􀂉 Volume 12 Number 6 􀂉 December 2014 429 Study on the Key Technology for Establishing a Cloud Platform-Oriented Digital Oilfield Based on High-performance Computing},
  journal = {Journal of Digital Information Management},
  year = {2014},
  volume = {12},
  number = {6},
  doi = {},
  url = {http://dline.info/fpaper/jdim/v12i6/12.pdf},
  abstract = {This study aims to overcome the principal
problems in the current information-support platformoriented
digital oilfield. These problems include a low
utilization efficiency of the software and hardware
resources, the high maintenance cost of the system, and
limited automatic control. Starting with the existing
software and hardware resources and with the current
pattern of use of cloud computing, this study designs a
cloud platform-oriented digital oilfield, based on highperformance
computing (HPC). It also comprehensively
describes the architecture of the cloud platform and then
solves three key problems, namely, united resource
management (computing and license resources ), policybased
resource scheduling, and self-service remote
cluster visualization. Finally, this paper describes the
achievement of establishing and operating a new type of
cloud platform-oriented digital oilfield, based on HPC with
self-service intelligent cluster development, mainstream
application system integration, unified job management,
comprehensive real-time monitoring of resources, and
statistical statement analysis. The results show that
integrating cloud computing into HPC can
comprehensively improve the efficiency of use of the
hardware and software resources, and reduce system
operation and maintenance costs, as well as providing
administrators with a friendly and fast way to use and
monitor those resources.},
}