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 proto-typical 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
