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Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project
Zhen-you Li,Ji-shan He,Meng-jun Wang
Frontiers of Engineering Management 2016, Volume 3, Issue 3, Pages 231-238 doi: 10.15302/J-FEM-2016032
Keywords: precise and accurate project management project strategic planning decision-making project supervisionand controls project execution value engineering
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG
Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 41-48 doi: 10.15302/J-FEM-2017003
Keywords: engineering management project management big data data analytics planning execution
TEES: topology-aware execution environment service for fast and agile application deployment in HPC Research Article
Mingtian SHAO, Kai LU, Wanqing CHI, Ruibo WANG, Yiqin DAI, Wenzhe ZHANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11, Pages 1631-1645 doi: 10.1631/FITEE.2100284
systems are about to reach a new height: exascale. is becoming an increasingly prominent problem. technology solves the problems of encapsulation and migration of applications and their . However, the image is too large, and deploying the image to a large number of compute nodes is time-consuming. Although the approach brings higher transmission efficiency, it introduces larger network load. All of these issues lead to high startup latency of the application. To solve these problems, we propose the topology-aware service (TEES) for fast and agile on HPC systems. TEES creates a more lightweight for users, and uses a more efficient topology-aware P2P approach to reduce deployment time. Combined with a split-step transport and launch-in-advance mechanism, TEES reduces application startup latency. In the Tianhe HPC system, TEES realizes the deployment and startup of a typical application on 17 560 compute nodes within 3 s. Compared to -based , the speed is increased by 12-fold, and the network load is reduced by 85%.
Keywords: Execution environment Application deployment High-performance computing (HPC) Container Peer-to-peer
Self-deployed execution environment for high performance computing Research Articles
Mingtian SHAO, Kai LU, Wenzhe ZHANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6, Pages 845-857 doi: 10.1631/FITEE.2100016
Traditional (HPC) systems provide a standard preset environment to support scientific computation. However, HPC development needs to provide support for more and more diverse applications, such as artificial intelligence and big data. The standard preset environment can no longer meet these diverse requirements. If users still run these emerging applications on HPC systems, they need to manually maintain the specific dependencies (libraries, environment variables, and so on) of their applications. This increases the development and deployment burden for users. Moreover, the multi-user mode brings about privacy problems among users. Containers like Docker and Singularity can encapsulate the job's , but in a highly customized HPC system, cross-environment application deployment of Docker and Singularity is limited. The introduction of container images also imposes a maintenance burden on system administrators. Facing the above-mentioned problems, in this paper we propose a self-deployed (SDEE) for HPC. SDEE combines the advantages of traditional virtualization and modern containers. SDEE provides an isolated and customizable environment (similar to a virtual machine) to the user. The user is the root user in this environment. The user develops and debugs the application and deploys its special dependencies in this environment. Then the user can load the job to compute nodes directly through the traditional HPC job management system. The job and its dependencies are analyzed, packaged, deployed, and executed automatically. This process enables transparent and rapid job deployment, which not only reduces the burden on users, but also protects user privacy. Experiments show that the overhead introduced by SDEE is negligible and lower than those of both Docker and Singularity.
Keywords: Execution environment High performance computing Light-weight Isolation Overlay
Building of Post-project Management
Yu Han,Yu-fei Li,Hu Cheng
Frontiers of Engineering Management 2014, Volume 1, Issue 4, Pages 353-357 doi: 10.15302/J-FEM-2014051
Keywords: project management life cycle project update project remake project removal project restoration project recycling
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 221-238 doi: 10.1007/s42524-022-0195-3
Keywords: knowledge transfer knowledge management project management project environment literature review
Using information flowanalysis to detect implicit information leaks forweb service composition None
Jia-xin JIANG, Zhi-qiu HUANG, Wei-wei MA, Yan CAO
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 494-502 doi: 10.1631/FITEE.1601371
Keywords: Information flow analysis Business process execution language Petri net Interference
An execution control method for the Aerostack aerial robotics framework None
Martin MOLINA, Alberto CAMPORREDONDO, Hriday BAVLE, Alejandro RODRIGUEZ-RAMOS, Pascual CAMPOY
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1, Pages 60-75 doi: 10.1631/FITEE.1800552
Execution control is a critical task of robot architectures which has a deep impact on the qualityIn this study, we describe a general method for execution control, which is a part of the Aerostack softwareframework for aerial robotics, and present technical challenges for execution control and design decisionsThe proposed method has an original design combining a distributed approach for execution control ofstandards based on a robot operating system (ROS) contributing to its general use, and an open-source project
Keywords: Aerial robotics Control architecture Behavior-based control Executive system
Study on systematically evaluating models for project performance and improvement
Li Zhenyou,He Jishan
Strategic Study of CAE 2011, Volume 13, Issue 8, Pages 10-14
Project systematical evaluation is actually the important and necessarytool for the project-driven company to continuously improve their project performance and efficiencyThis study tried to improve the project excellence model (known as PE model) by means of clarifying andprocesses and performance and gain and loss for project stakeholders.knowledge management for project-driven companies.
Keywords: project evaluation project management PE model project knowledge management
A Study of the Functional Mechanism of Petrochemical Engineering Construction Project Management
Ji-ming Wang
Frontiers of Engineering Management 2014, Volume 1, Issue 2, Pages 129-139 doi: 10.15302/J-FEM-2014020
Keywords: petrochemical engineering construction project project management functional mechanism
Frontiers of Engineering Management Pages 439-454 doi: 10.1007/s42524-022-0211-7
Keywords: megaproject organizational evolution whole lifecycle management project management team
Hybrid genetic algorithm for bi-objective resource-constrained project scheduling
Fikri KUCUKSAYACIGIL, Gündüz ULUSOY
Frontiers of Engineering Management 2020, Volume 7, Issue 3, Pages 426-446 doi: 10.1007/s42524-020-0100-x
Keywords: hybrid bi-objective genetic algorithm injection procedure maximum cash balance multi-objective multi-projectmulti-mode resource-constrained project scheduling problem
Analysis of synergy degree and its influencing factors in hydropower EPC project management
Jiwei ZHU, Hua GAO, Jiangrui WANG
Frontiers of Engineering Management 2021, Volume 8, Issue 3, Pages 402-411 doi: 10.1007/s42524-020-0098-0
Keywords: hydropower project EPC mode synergy degree model grey relational analysis
The Environmental Impact of the Three Gorges Project and the Countermeasures
You-mei Lu,Cun-liang Shang
Frontiers of Engineering Management 2014, Volume 1, Issue 2, Pages 120-128 doi: 10.15302/J-FEM-2014019
Keywords: the Three Gorges Project ecosystem aquatic species water quality flood control disaster alleviation energy
Demonstration project of safe and efficient mining operations in extra-thick coal seam
Jinhui WANG
Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 110-110 doi: 10.15302/J-FEM-2016063
Title Author Date Type Operation
Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project
Zhen-you Li,Ji-shan He,Meng-jun Wang
Journal Article
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG
Journal Article
TEES: topology-aware execution environment service for fast and agile application deployment in HPC
Mingtian SHAO, Kai LU, Wanqing CHI, Ruibo WANG, Yiqin DAI, Wenzhe ZHANG
Journal Article
Self-deployed execution environment for high performance computing
Mingtian SHAO, Kai LU, Wenzhe ZHANG
Journal Article
Linking elements to outcomes of knowledge transfer in the project environment: Current review and future
Journal Article
Using information flowanalysis to detect implicit information leaks forweb service composition
Jia-xin JIANG, Zhi-qiu HUANG, Wei-wei MA, Yan CAO
Journal Article
An execution control method for the Aerostack aerial robotics framework
Martin MOLINA, Alberto CAMPORREDONDO, Hriday BAVLE, Alejandro RODRIGUEZ-RAMOS, Pascual CAMPOY
Journal Article
Study on systematically evaluating models for project performance and improvement
Li Zhenyou,He Jishan
Journal Article
A Study of the Functional Mechanism of Petrochemical Engineering Construction Project Management
Ji-ming Wang
Journal Article
Organizational evolution of project management teams over the whole lifecycle of megaprojects: Case study
Journal Article
Hybrid genetic algorithm for bi-objective resource-constrained project scheduling
Fikri KUCUKSAYACIGIL, Gündüz ULUSOY
Journal Article
Analysis of synergy degree and its influencing factors in hydropower EPC project management
Jiwei ZHU, Hua GAO, Jiangrui WANG
Journal Article
The Environmental Impact of the Three Gorges Project and the Countermeasures
You-mei Lu,Cun-liang Shang
Journal Article