Towards a policy-driven framework for adaptive Web services composition

被引:7
|
作者
Erradi, A [1 ]
Maheshwari, P [1 ]
Padmanabhuni, S [1 ]
机构
[1] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW, Australia
关键词
D O I
10.1109/NWESP.2005.75
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The variation of contexts in which a Web service could be used and the resulting variation in functional and Quality of Service (QoS) requirements motivates further research to extend Web services platforms to cater for differentiated service offerings and dynamic adaptability. Adaptability is an important requirement in the context of Web services to cater for the need of diverse set of client applications requesting customized view of consumed Web services to fit their own contexts and preferences. This paper presents an ongoing project to devise a novel service composition framework, named AdaptiveBPEL that leverages Aspect-Oriented Software Development (AOSD) techniques to "open up" the service composition for dynamic change in order to provide a greater degree of configurability and dynamic adaptability of Web services. This framework can: 1) easily adapt to changes in business rules, and collaboration policies governing service interactions 2) provide different levels of functional and QoS offerings. The adaptation process is policy-driven to declaratively define the adaptive service behavior through dynamic injection of functional and non-functional extensions into a core service composition to allow on-demand and perinstance service adaptability.
引用
收藏
页码:33 / 38
页数:6
相关论文
共 50 条
  • [31] PDTM: A policy-driven trust management framework in distributed systems
    Liu, W
    Duan, HX
    Wu, JP
    Li, X
    COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS, 2005, 3802 : 518 - 525
  • [32] BoxBroker: A Policy-Driven Framework for Optimizing Storage Service Federation
    Heinsen, Rene
    Lopez, Cindy
    Huh, Eui-Nam
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2018, 12 (01): : 340 - 367
  • [33] An Adaptive Reinforcement Learning Approach to Policy-driven Autonomic Management
    Bahati, Raphael M.
    Bauer, Michael A.
    ICAS: 2009 FIFTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS, 2009, : 135 - 141
  • [34] Policy-driven Dynamic HTTP Adaptive Streaming Player Environment
    Minh Nguyen
    MMSYS '21: PROCEEDINGS OF THE 2021 MULTIMEDIA SYSTEMS CONFERENCE, 2021, : 408 - 412
  • [35] Integration of UML Modeling and Policy-Driven Management of Web Service Systems
    Suleiman, Basem
    Tosic, Vladimir
    PESOS: 2009 ICSE WORKSHOP ON PRINCIPLES OF ENGINEERING SERVICE ORIENTED SYSTEMS, 2009, : 75 - 82
  • [36] A trust management package for policy-driven protection & personalization of web content
    De Coi, Juri L.
    Olmedilla, Daniel
    Zerr, Sergej
    Bonatti, Piero A.
    Sauro, Luigi
    2008 IEEE WORKSHOP ON POLICIES FOR DISTRIBUTED SYSTEMS AND NETWORKS, PROCEEDINGS, 2008, : 228 - +
  • [38] A policy-driven trading framework for market-based spectrum assignment
    Argyroudis, Patroklos
    Forde, Tim
    Doyle, Linda
    O'Mahony, Donal
    EIGHTH IEEE INTERNATIONAL WORKSHOP ON POLICIES FOR DISTRIBUTED SYSTEMS AND NETWORKS - PROCEEDINGS, 2007, : 246 - +
  • [39] Policy-Driven Middleware for Multi-Tenant SaaS Services Configuration
    Aouzal, Khadija
    Hafiddi, Hatim
    Dahchour, Mohamed
    INTERNATIONAL JOURNAL OF CLOUD APPLICATIONS AND COMPUTING, 2019, 9 (04) : 86 - 106
  • [40] An Adaptive Transport Framework for Web Services
    Liu, Jian
    Li, Zhuqing
    Ma, Dianfu
    CSA 2008: INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND ITS APPLICATIONS, PROCEEDINGS, 2008, : 32 - 37