Distributed goal-oriented computing

被引:2
作者
Palanca, Javier [1 ]
Navarro, Marti [1 ]
Julian, Vicente [1 ]
Garcia-Fornes, Ana [1 ]
机构
[1] Univ Politecn Valencia, DSIC, Valencia 46022, Spain
关键词
Computing paradigms; Operating systems; Multi-agent systems; Service-oriented systems; Goal-oriented systems; Adaptive systems; OPERATING SYSTEM;
D O I
10.1016/j.jss.2012.01.045
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
For current computing frameworks, the ability to dynamically use the resources that are allocated in the network has become a key success factor. As long as the size of the network increases, it is more difficult to find how to solve the problems that the users are presenting. Users usually do know what they want to do, but they do not know how to do it. If the user knows its goals it could be easier to help him with a different approach. In this work we present a new computing paradigm based on goals. This paradigm is called Distributed goal-oriented computing paradigm. To implement this paradigm an execution framework for a goal-oriented operating system has been designed. In this paradigm users express their goals and the OS is in charge of helping the achievement of these goals by means of a service-oriented approach. (c) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1540 / 1557
页数:18
相关论文
共 50 条
  • [31] SOTIF-Oriented Distributed Control for Connected Autonomous Vehicles Platoons
    Ge, Xiaohua
    Lui, Dario Giuseppe
    Motta, Carlo
    Petrillo, Alberto
    Santini, Stefania
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2025, 55 (04): : 3049 - 3063
  • [32] Sustainable Distributed Adaptive Platoon in Multi-Agent Mobile-Edge Computing Networks for Lane Reduction Scenario
    Xie, Guangqiang
    Zhong, Biwei
    Xu, Haoran
    Li, Yang
    Hu, Xianbiao
    Jiang, Zhihao
    Tian, Yonghong
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (11) : 15673 - 15686
  • [33] A Distributed Algorithm for Computing a Common Fixed Point of a Finite Family of Paracontractions
    Fullmer, Daniel
    Morse, A. Stephen
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (09) : 2833 - 2843
  • [34] New Distributed Constraint Reasoning Algorithms for Load Balancing in Edge Computing
    Hoang, Khoi D.
    Wayllace, Christabel
    Yeoh, William
    Beal, Jacob
    Dasgupta, Soura
    Mo, Yuanqiu
    Paulos, Aaron
    Schewe, Jon
    PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS (PRIMA 2019), 2019, 11873 : 69 - 86
  • [35] Agent-Based Approach to Monitoring and Control of Distributed Computing Environment
    Bychkov, Igor
    Oparin, Gennady
    Novopashin, Alexei
    Sidorov, Ivan
    PARALLEL COMPUTING TECHNOLOGIES (PACT 2015), 2015, 9251 : 253 - 257
  • [36] Autonomy-oriented computing (AOC): Formulating computational systems with autonomous components
    Liu, JM
    Jin, XL
    Tsui, KC
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2005, 35 (06): : 879 - 902
  • [37] Autonomous semantic grid: Design & architecture of WSDL parser for service oriented computing
    Manan, Shadia
    Ahmad, Hafiz Farooq
    Liaquat, Saad
    Suguri, Hiroki
    Second International Conference on Emerging Technologies 2006, Proceedings, 2006, : 612 - 616
  • [38] Design of a remote procedure call system for object-oriented distributed programming
    Tripathi, AR
    Noonan, T
    SOFTWARE-PRACTICE & EXPERIENCE, 1998, 28 (01) : 23 - 47
  • [39] . OPRC: An Online Personalized Reputation Calculation Model in Service-Oriented Computing Environments
    Du, Xin
    Xu, Jianlong
    Cai, Weihong
    Zhu, Changsheng
    Chen, Yindong
    IEEE ACCESS, 2019, 7 : 87760 - 87768
  • [40] Robustness-oriented distributed cooperative control for ac microgrids under complex environments
    Lai, Jingang
    Lu, Xiaoqing
    Dong, Zhengcheng
    Tang, Ruo-li
    Li, Xin
    IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (10) : 1473 - 1482