QoS-based service selection

基于QoS的服务选择

• 批准号: 299021-2010
• 负责人: Ding, Chen
• 金额: $ 1.09万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=548381
• 关键词: QoS; based; service; selection

With the proliferation of web services, how to identify and select services best matching users' requirements has become a big challenge. Usually after functionally matching services have been found, the further selection and ranking are based on non-functional properties such as Quality of Services (QoS). There have been many research works on QoS-based service selection. However, there are a few unique challenges which haven't been fully addressed yet, and more works should be done. In this proposal, we would like to address some of them, including the vague and flexible QoS requirements, the dynamic nature of services, and the relative user satisfaction levels. Our objective is to design and implement a QoS-based service selection system, in which browsing and searching are considered as integrated selection activities, time is taken as an important factor for service selection, and Quality of Experience (QoE) is improved through learning from the user history behavior. There are several major steps involved: 1) design an interactive QoS browsing mechanism so that users could always understand the current QoS distribution of services and choose their concerned areas to get more details, which could hopefully solve the vague requirement and service dynamism problems to an extent; 2) define an expressive query language, evaluate different ranking models to choose a most appropriate one and possibly make some modifications to match with the proposed query capabilities; 3) define a QoE model which considers individual user's unique preferences and satisfaction curves and understands that satisfaction is always a relative and subjective concept, and use this model to improve the selection performance. The key features of this proposal would be: 1) with the proposed selection system, users could browse to clarify their QoS requirements and balance among different attributes, and search with more clearly defined queries, properly ranked results and overall improved satisfaction levels; 2) we will train the highly qualified personnel to gain a deep understanding on topics such as service selection, QoS and QoE, and usage pattern analysis, and they will also have concrete experiences on system building and systematic experimental methods.

随着Web服务的激增，如何识别和选择最符合用户需求的服务已经成为一个巨大的挑战。通常，在找到功能上匹配的服务之后，进一步的选择和排序基于诸如服务质量(Qos)的非功能属性。关于基于服务质量的服务选择已经有了很多的研究工作。然而，还有一些独特的挑战尚未完全解决，需要做更多的工作。在这个提案中，我们想要解决其中的一些问题，包括模糊和灵活的服务质量要求，服务的动态性质，以及相对的用户满意度水平。我们的目标是设计并实现一个基于服务质量的服务选择系统，该系统将浏览和搜索视为综合的选择活动，将时间作为服务选择的重要因素，并通过对用户历史行为的学习来提高体验质量。主要包括以下几个步骤：1)设计一种交互式的服务质量浏览机制，使用户能够始终了解当前服务的服务质量分布情况，并选择自己关心的领域以获得更多的细节，从而在一定程度上解决模糊需求和服务动态化问题；2)定义一种具有表现力的查询语言，对不同的排序模型进行评估以选择最合适的排序模型，并可能对其进行修改以匹配所提出的查询能力；3)定义一种QOE模型，该模型考虑用户的独特偏好和满意度曲线，并理解满意度始终是一个相对主观的概念，并利用该模型来提高选择性能。该方案的主要特点是：1)通过建议的选择系统，用户可以浏览并明确自己对服务质量的要求和不同属性之间的平衡，以定义更清晰的查询、合理的结果排序和整体提高的满意度进行搜索；2)培训高素质的人员，使他们对服务选择、服务质量与服务质量、使用模式分析等主题有深入的理解，并在系统建设和系统实验方法方面有具体的经验。