为了在高度动态环境下准确地预测Web服务的服务质量(Quality of service,QoS),该文提出了一种基于半马尔可夫过程(Semi-Markov processes,SMP)和事例推理(Case-based reasoning,CBR)的QoS动态预测方法。该方法首先使用SMP预测Web服务在未来被调用时刻的忙闲状态,在此基础上,利用CBR技术预测Web服务处理具体任务时的QoS。实验结果表明:该预测方法能够大幅度提高Web服务QoS的准确度。研究结果为客观评价和成功选择Web服务提供了可靠的依据。
Internetware is envisioned as a general software paradigm for the application style of resources integration and sharing in the open, dynamic and uncertain platforms such as the Internet. Continuing the agent-based Internetware model presented in a previous paper, in this paper, after an analysis of the behavioral patterns and the technical challenges of environment-driven applications, a software-structuring model is proposed for environment-driven Internetware applications. A series of explorations on the enabling techniques for the model, especially the modeling, management and utilization of context information are presented. Several prototypical systems have also been built to prove the concepts and evaluate the techniques. These research efforts make a further step toward the Internetware paradigm by providing an initial framework for the construction of context-aware and self-adaptive software application systems in the open network environment.
Lǔ Jian MA XiaoXing TAO XianPing CAO Chun HUANG Yu YU Ping
