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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

Abstract: A great deal of scientific research in the world aims at discovering the facts about the world so that we understand it better and find solutions to problems. Data enabling technology plays an important role in modern scientific discovery and technologic advancement. The importance of good information was long recognized by prominent leaders such as Sun Tzu and Napoleon. Factual data enables managers to measure, to understand their businesses, and to directly translate that knowledge into improved decision making and performance. This position paper argues that data analytics is ready to change engineering management in the following areas: 1) by making relevant historical data available to the manager at the time when it’s needed; 2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful data from multiple sources to support quantitative decision-making. Considering the unique need for engineering management, the paper proposes researchable topics in the two broad areas of data acquisition and data analytics. The purpose of the paper is to provoke discussion from peers and to encourage research activity.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

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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

Abstract:

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    

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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

Abstract:

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    

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Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project Management

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

Abstract: project phase, as well as the value engineering, and the project supervision and controls during the execution

Keywords： project management     project strategic planning     decision-making     project supervision and controls     project execution    

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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

Abstract: automated and effective approach for the detection of implicit information leaks in business process execution

Keywords： Information flow analysis     Business process execution language     Petri net     Interference    

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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

Abstract:

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 ofchecking and performance monitoring) and centralizes coordination to ensure consistency of the concurrent execution

Keywords： Aerial robotics     Control architecture     Behavior-based control     Executive system    

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Scientific workflow execution system based on mimic defense in the cloud environment Research Article

Ya-wen WANG, Jiang-xing WU, Yun-fei GUO, Hong-chao HU, Wen-yan LIU, Guo-zhen CHENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1522-1536 doi: 10.1631/FITEE.1800621

Abstract: coexistence service mode of cloud computing brings serious security risks, which will threaten the normal executionTo strengthen the security of cloud workflows, a mimic cloud computing task execution system for scientificConsidering efficiency and security, a delayed decision mechanism is proposed to check the results of task executionFor dynamics, a dynamic task scheduling mechanism is devised for switching workflow execution environmentExperimental results show that the proposed system can effectively strengthen the security of cloud workflow execution

Keywords： Scientific workflow     Mimic defense     Cloud security     Intrusion tolerance    

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Title Author Date Type Operation

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

Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project Management

Zhen-you Li,Ji-shan He,Meng-jun Wang

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

Scientific workflow execution system based on mimic defense in the cloud environment

Ya-wen WANG, Jiang-xing WU, Yun-fei GUO, Hong-chao HU, Wen-yan LIU, Guo-zhen CHENG

Journal Article