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Information sharing and performance of service supply chain
Yang Shanlin,Cheng Fei,Yang Changhui
Strategic Study of CAE 2011, Volume 13, Issue 8, Pages 80-86
The service supply chain consisting of one service vendor (SV) and oneservice integrator (SI) was studied.The service vendor supplies original service productions or activities to the SI that in turn sells thevalue-add integration service to customers.In this paper, we developed information sharing and performance of service supply chain between SV and
Keywords: service supply chain service vendor service integrator information sharing coordination
Strategies and Principles of Distributed Machine Learning on Big Data Review
Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei
Engineering 2016, Volume 2, Issue 2, Pages 179-195 doi: 10.1016/J.ENG.2016.02.008
The rise of big data has led to new demands for machine learning (ML) systems to learn complex models, with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics (such as high-dimensional latent features, intermediate representations, and decision functions) thereupon. In order to run ML algorithms at such scales, on a distributed cluster with tens to thousands of machines, it is often the case that significant engineering efforts are required—and one might fairly ask whether such engineering truly falls within the domain of ML research. Taking the view that “big” ML systems can benefit greatly from ML-rooted statistical and algorithmic insights—and that ML researchers should therefore not shy away from such systems design—we discuss a series of principles and strategies distilled from our recent efforts on industrial-scale ML solutions. These principles and strategies span a continuum from application, to engineering, and to theoretical research and development of big ML systems and architectures, with the goal of understanding how to make them efficient, generally applicable, and supported with convergence and scaling guarantees. They concern four key questions that traditionally receive little attention in ML research: How can an ML program be distributed over a cluster? How can ML computation be bridged with inter-machine communication? How can such communication be performed? What should be communicated between machines? By exposing underlying statistical and algorithmic characteristics unique to ML programs but not typically seen in traditional computer programs, and by dissecting successful cases to reveal how we have harnessed these principles to design and develop both high-performance distributed ML software as well as general-purpose ML frameworks, we present opportunities for ML researchers and practitioners to further shape and enlarge the area that lies between ML and systems.
Keywords: Machine learning Artificial intelligence big data Big model Distributed systems Principles Theory Data-parallelism Model-parallelism
Development of geographic information system and developi nggeographic information system
Wang Jiayao
Strategic Study of CAE 2009, Volume 11, Issue 2, Pages 10-16
Keywords: GIS architecture develop model Web service Grid service
Service-oriented manufacturing: A literature review and future research directions
Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 71-88 doi: 10.1007/s42524-021-0171-3
Keywords: service-oriented manufacturing product– service systems servitization servicing operations mana-
Towards a self-adaptive service-oriented methodology based on extended SOMA
Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1, Pages 43-69 doi: 10.1631/FITEE.1400040
Keywords: Quality attribute Adaptation pattern Architectural tactic Service-oriented architecture Self-adaptive
Avision of post-exascale programming None
Ji-dong ZHAI, Wen-guang CHEN
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 10, Pages 1261-1266 doi: 10.1631/FITEE.1800442
Keywords: Computing model Fault-tolerance Heterogeneous Parallelism Post-exascale
Service life prediction of fly ash concrete using an artificial neural network
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 793-805 doi: 10.1007/s11709-021-0717-9
Keywords: concrete fly ash carbonation neural networks experimental validation service life
Frontiers of Engineering Management Pages 391-405 doi: 10.1007/s42524-022-0206-4
Keywords: system availability product-service integration installed base new product introduction service supply
Blockchain application in healthcare service mode based on Health Data Bank
Jianxia GONG, Lindu ZHAO
Frontiers of Engineering Management 2020, Volume 7, Issue 4, Pages 605-614 doi: 10.1007/s42524-020-0138-9
Keywords: Health Data Bank blockchain data assets smart contract incentive mechanism
Shibao Pang, Shunsheng Guo, Xi Vincent Wang, Lei Wanga, Lihui Wang
Engineering 2023, Volume 22, Issue 3, Pages 34-48 doi: 10.1016/j.eng.2022.07.020
Keywords: Manufacturing service collaboration Service optimal selection Service granularity Industrial Internet
Understanding network travel time reliability with on-demand ride service data
Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN
Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 388-398 doi: 10.15302/J-FEM-2017046
Keywords: network travel time reliability on-demand ride services travel time rate OD
Hierarchical modeling of stochastic manufacturing and service systems
Zhe George ZHANG, Xiaoling YIN
Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 295-303 doi: 10.15302/J-FEM-2017047
Keywords: stochastic modeling QBD process PH distribution heavy traffic limits diffusion process
Research on Evaluating the Efficiency of the Project Financing of the Energy Service Company
Bao-zhen Zhang,Han-ding Guo,Cai-xia Yang,Lei Wang
Frontiers of Engineering Management 2016, Volume 3, Issue 3, Pages 252-257 doi: 10.15302/J-FEM-2016044
Keywords: ESCO project financing financing efficiency method set combination evaluation
From resource sharing to service sharing: opportunities and challenges of transparent computing
Zhang Yaoxue,Zhou Yuezhi
Strategic Study of CAE 2009, Volume 11, Issue 8, Pages 10-17
Keywords: pervasive computing resource sharing service sharing transparent computing
Preserving privacy information flowsecurity in composite service evolution None
Huan-feng PENG, Zhi-qiu HUANG, Lin-yuan LIU, Yong LI, Da-juan FAN, Yu-qing WANG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5, Pages 626-638 doi: 10.1631/FITEE.1700359
Keywords: Composite service Privacy information flow security Service evolution Petri net
Title Author Date Type Operation
Information sharing and performance of service supply chain
Yang Shanlin,Cheng Fei,Yang Changhui
Journal Article
Strategies and Principles of Distributed Machine Learning on Big Data
Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei
Journal Article
Development of geographic information system and developi nggeographic information system
Wang Jiayao
Journal Article
Towards a self-adaptive service-oriented methodology based on extended SOMA
Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT
Journal Article
Bridging reliability and operations management for superior system availability: Challenges and opportunities
Journal Article
Blockchain application in healthcare service mode based on Health Data Bank
Jianxia GONG, Lindu ZHAO
Journal Article
Dual-Dimensional Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms
Shibao Pang, Shunsheng Guo, Xi Vincent Wang, Lei Wanga, Lihui Wang
Journal Article
Understanding network travel time reliability with on-demand ride service data
Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN
Journal Article
Hierarchical modeling of stochastic manufacturing and service systems
Zhe George ZHANG, Xiaoling YIN
Journal Article
Research on Evaluating the Efficiency of the Project Financing of the Energy Service Company
Bao-zhen Zhang,Han-ding Guo,Cai-xia Yang,Lei Wang
Journal Article
From resource sharing to service sharing: opportunities and challenges of transparent computing
Zhang Yaoxue,Zhou Yuezhi
Journal Article