Aspect Mining for Dynamic Service Orchestration

被引:0
|
作者
Yang, Hao [1 ]
Chen, Junliang [1 ]
Meng, Xiangwu [1 ]
机构
[1] State Key Lab Networking & Switching Technol BUPT, Beijing 100876, Peoples R China
关键词
D O I
10.1109/NWESP.2007.29
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traditional web service orchestration is always implemented by business process workflow or I/O matching. But this method will invoke some problems including too many composite results, inefficiency, and most important the composition is static for service orchestration is based on service concerns, but not taking account of service status. Based on Aspect-Oriented analysis, service concerns are divided into base themes and aspect themes in this paper Base themes are traditional service entities, while aspect themes are cross-cutting service concerns. Incoming filtering chain and outgoing filtering chain, which are aspect-based expressions, are used to describe service providers or customers status. Service orchestration can be achieved through these two filtering policies dynamically for aspect-based expressions and results are dynamic. Testing cases have been used in Chinese Mobile-Oriented City Information System, and the results demonstrate that dynamic service orchestration can be achieved through two aspect filtering chains.
引用
收藏
页码:141 / 146
页数:6
相关论文
共 50 条
  • [1] Web Service Orchestration Topic Mining
    Chu, Victor W.
    Wong, Raymond K.
    Chi, Chi-Hung
    Hung, Patrick C. K.
    2014 IEEE 21ST INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2014), 2014, : 225 - 232
  • [2] Dynamic orchestration in software as a service
    Santaolaya-Salgado, Rene
    Ruiz-Paz, Sergio-Fabian
    Fragoso-Diaz, Olivia-Graciela
    Alvarez-Rodriguez, Francisco-Javier
    Gonzalez-Serna, Juan-Gabriel
    DYNA, 2020, 95 (01): : 12 - 13
  • [3] Dynamic aspect mining
    Ceccato, M.
    Tonella, P.
    IET SOFTWARE, 2009, 3 (04) : 321 - 336
  • [4] Edge Intelligence Service Orchestration with Process Mining
    Zhu, Yong
    Hu, Zhihui
    He, Zhenyu
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [5] Method for Dynamic Service Orchestration in Fog Computing
    Morkevicius, Nerijus
    Venckauskas, Algimantas
    Satkauskas, Nerijus
    Toldinas, Jevgenijus
    ELECTRONICS, 2021, 10 (15)
  • [6] Performance Evaluation of Service Orchestration with Dynamic Latency Simulation
    Zhang Changyou
    Zhu Dongfeng
    Hu Jingjing
    Jin Heifei
    CHINA COMMUNICATIONS, 2012, 9 (12) : 68 - 79
  • [7] Dynamic Modular vCPE Orchestration in Platform as a Service Architectures
    Meneses, Flavio
    Fernandes, Manuel
    Vieira, Tiago
    Corujo, Daniel
    Neto, Augusto
    Aguiar, Rui L.
    PROCEEDING OF THE 2019 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), 2019,
  • [8] Extending dynamic aspect mining with static information
    Breu, S
    FIFTH IEEE INTERNATIONAL WORKSHOP ON SOURCE CODE ANALYSIS AND MANIPULATION, PROCEEDINGS, 2005, : 57 - 65
  • [9] A dynamic design framework for semi-automated service orchestration
    Xie, Wuping
    Xue, Jinyun
    Jiang, Dongming
    Journal of Computational Information Systems, 2014, 10 (13): : 5549 - 5556
  • [10] Dynamic Orchestration of Service Function Chain Based on Reinforcement Learning
    Geng, Lin
    Mao, Junli
    Chen, Ke
    Li, Naling
    2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 795 - 799