面向Mashup的服务开发环境分析与仿真实现

发布时间：2018-05-06 21:25

本文选题：混搭 + 服务开发　；参考：《海南大学》2017年硕士论文

【摘要】：在互联网应用与生态日益复杂的环境下,开发者通过混搭(Mashup)应用的相关技术,通过组合各种类型的服务与数据,以快速有效的方法将应用推向市场。因其高效、灵活、敏捷的优势,混搭应用受到了普遍的关注。除了研究和应用服务发现、匹配与组合等相关技术,IT组织和研究者们普遍意识到Mashup对经济与业务方面的深远影响,并通过运用各种策略以协调组织内外的技术、业务与经济目标。本文以Mashup下的轻量开发过程模型(Lightweight Development Process)为基础,分析了 Mashup各开发阶段间的流程关系、各个角色使用服务的过程及之间的耦合关系,分类概括了开发者在决策时所涉产品与市场各层面的因素;接着运用面向对象和模型驱动的方法设计并实现了一个以策略运用为核心的Mashup策略仿真与分析系统MashupSim。该系统模块组合结构清晰,对策略编写和仿真友好,并且功能接口扩展方便;最后通过一系列参数设置、仿真观察与策略验证的实验,进一步确认了策略开发与仿真的流程并验证系统功能的正确性。本文首先介绍了 Mashup相关的过程、角色与属性模型,引入了 Mashup应用开发的经济与市场环境;接着以自动机为原型分析了对设计策略仿真系统基础和关键的状态转移、角色关联、决策依据的问题;然后介绍了策略仿真系统的设计与基于Python的实现MashupSim;之后讨论了 Mashup仿真环境中的参数设置问题,设计实验并观察仿真系统在用户满意度等方面的输出结果,并在保持其余参数相同的条件下对比分析了三种不同的策略运用的效果。最后对Mashup策略仿真系统的分析、设计与实现做了总结和展望。
[Abstract]:In the increasingly complex environment of Internet application and ecology, developers can bring the application to market by combining various kinds of services and data through the related technology of Mashup application. Because of its high efficiency, agility and agility, mixed-up application has been paid more and more attention. In addition to research and application of service discovery, technologies related to matching and composition, IT organizations and researchers are generally aware of the profound economic and business implications of Mashup and use strategies to coordinate technologies within and outside the organization. Business and economic objectives. Based on lightweight Development process model based on Mashup, this paper analyzes the process relationship between different stages of Mashup development, the process of each role using service and the coupling relationship between them. This paper classifies and summarizes the factors of product and market in decision making, and then designs and implements a Mashup policy simulation and analysis system Mashup Sims, which is based on the application of strategy by using object-oriented and model-driven methods. The system module combination structure is clear and friendly to policy writing and simulation, and the function interface is easy to expand. Finally, through a series of parameter setting, the experiment of simulation observation and policy verification is carried out. Furthermore, the process of policy development and simulation is confirmed and the correctness of the system function is verified. This paper first introduces the process, role and attribute model of Mashup, introduces the economic and market environment of Mashup application development, and then analyzes the design strategy simulation system foundation and key state transition based on automata. Then it introduces the design of the policy simulation system and the implementation of Mashup Simbased on Python, and then discusses the parameter setting problem in the Mashup simulation environment. The experiment is designed and the output results of the simulation system in user satisfaction are observed, and the results of three different strategies are compared and analyzed under the condition that the other parameters are the same. Finally, the analysis, design and implementation of Mashup strategy simulation system are summarized and prospected.
【学位授予单位】：海南大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

【相似文献】