Federated management of distributed data and services

被引:1
|
作者
Solte, D [1 ]
Stegmann, R [1 ]
机构
[1] Res Inst Appl Knowledge Proc, FAW, D-89081 Ulm, Germany
关键词
architectures; communication environments; data handling systems; enterprise integration; information technology;
D O I
10.1016/S0166-3615(99)00055-X
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Over a period of 10 years, the FAW has developed a Software Engineering Paradigm to develop distributed data, applications, and processes for heterogeneous environments. This paradigm is supported by a set of tools that has been implemented at FAW and is now commercialized via the spin-off company KNOWING. These tools and the Software Engineering Paradigm are forming a platform for enterprise integration as specified, e.g., in the definition of CIMOSA. Enterprise integration hereby means the strategic aim to continuously develop one productive enterprise data and function model. This is a key for an enterprise-wide information and resource management. It should be based on a solution for enabling the transparent access to all available data and functions in distributed heterogeneous environments via a logical point of information. In this paper, the implementation concept for so-called information logistic services - forming the logical point of information - will be described. These services are implementing the information entity in the framework of an integrating infrastructure as it has been described by CIMOSA. Besides the details of its implementation, a positioning in an overall implementation architecture for enterprise integration, as it has been developed and implemented at FAW, will be explained as well. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:203 / 210
页数:8
相关论文
共 50 条
  • [31] Configuration management of distributed applications and services
    Sloman, M
    [J]. HIGH PERFORMANCE COMPUTING FOR COMPUTER GRAPHICS AND VISUALISATION, 1996, : 255 - 265
  • [32] ON DISTRIBUTED QOS MANAGEMENT FOR WEB SERVICES
    Li, Fei
    Yang, Fangchun
    Su, Sen
    [J]. CIICT 2008: PROCEEDINGS OF CHINA-IRELAND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES 2008, 2008, : 690 - 694
  • [33] QoS management for distributed multimedia services
    Seepold, Ralf
    Madrid, Natividad Martinez
    Fernandez, Javier Martinez
    [J]. REAL-TIME MOBILE MULTIMEDIA SERVICES, PROCEEDINGS, 2007, 4787 : 183 - +
  • [34] Graph-Driven Federated Data Management
    Nadal, Sergi
    Abello, Alberto
    Romero, Oscar
    Vansummeren, Stijn
    Vassiliadis, Panos
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (01) : 509 - 520
  • [35] CoMaFeDS Consent Management for Federated Data Sources
    Ulbricht, Max-R
    Pallas, Frank
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING WORKSHOP (IC2EW), 2016, : 106 - 111
  • [36] Federated variational generative learning for heterogeneous data in distributed environments
    Xie, Wei
    Xiong, Runqun
    Zhang, Jinghui
    Jin, Jiahui
    Luo, Junzhou
    [J]. Journal of Parallel and Distributed Computing, 2024, 191
  • [37] Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data
    Ahn, Jin-Hyun
    Simeone, Osvaldo
    Kang, Joonhyuk
    [J]. 2019 IEEE 30TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2019, : 1138 - 1143
  • [38] Independent and Identically Distributed (IID) Data Assessment in Federated Learning
    Arafeh, Mohamad
    Hammoud, Ahmad
    Otrok, Hadi
    Mourad, Azzam
    Talhi, Chamseddine
    Dziong, Zbigniew
    [J]. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 293 - 298
  • [39] Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms
    Lee, Haemin
    Kim, Joongheon
    [J]. 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2021), 2021, : 430 - 433
  • [40] Performance Analysis of Distributed and Federated Learning Models on Private Data
    Chandiramani, Kunal
    Garg, Dhruv
    Maheswari, N.
    [J]. 2ND INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING ICRTAC -DISRUP - TIV INNOVATION , 2019, 2019, 165 : 349 - 355