云计算环境下教学资源预约模型研究

发布时间：2018-02-24 22:13

本文关键词： 云资源预约模型生命周期任务单热度冷却函数　出处：《东北师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着云计算技术的飞速发展,教育云服务呈现了丰富的形态。其中教学资源的流转是非常重要的领域,教师通过云教学平台进行备课,将资源存储在云上,上课时,从云上下载教学资源进行授课。由于教师上课时间比较集中,如果采用传统的资源存储方式,就会出现在教学活动高峰期云资源服务器集中访问过于频繁而产生拥堵,而非教学活动时段带宽大量闲置的现象,即云资源服务器忙时很忙、闲时很闲的状况。针对这一状况本文首先通过分析云计算环境下教育云服务的资源使用特点、教师开展教学活动的规律提出了教育城域网部署下各个内网PC端与服务器之间的资源预约存储方案。然后,对资源的生命周期和预约行为进行界定并设计了基于用户需求的教学资源预约模型。模型中设计了预约代理服务器与云资源服务器、本地存储服务器的关系、预约生命周期、预约模型架构和预约过程,对资源检索子模块、资源预约下载子模块、资源管理子模块进行较为详细的设计并对预约过程中重要数据的存储和传递方式进行了设计,比如设计了预约任务单、任务反馈单和资源热度冷却函数等。最后,根据预约模型实现了资源预约存储方案。本文所提出的资源预约服务模型可以用来指导和优化云教学资源的具体应用,也可以为同类研究工作提供启示和借鉴。
[Abstract]:With the rapid development of cloud computing technology, educational cloud service presents a rich form, among which the transfer of teaching resources is a very important field. Teachers prepare lessons through the cloud teaching platform, store resources on the cloud, and in class, Download teaching resources from the cloud to teach. Because teachers are concentrated in class time, if the traditional resource storage method is adopted, it will appear in the peak of teaching activities that the centralized access of cloud resources server is too frequent, resulting in congestion. The phenomenon of idle bandwidth in non-teaching activities is that the cloud resource server is busy in busy time and idle in idle time. In view of this situation, this paper firstly analyzes the characteristics of educational cloud service in cloud computing environment. The rules of teachers' teaching activities put forward a plan of resource reservation and storage between the PC and server of the inner network under the deployment of the educational metropolitan area network (man). This paper defines the life cycle and reservation behavior of resources and designs a teaching resource reservation model based on user requirements. The relationship between reservation proxy server and cloud resource server, local storage server, reservation life cycle is designed in the model. Reservation model architecture and reservation process, resource retrieval submodule, resource reservation download sub-module, resource management sub-module are designed in detail, and important data storage and transfer mode in reservation process are designed. For example, we designed the appointment task list, the task feedback list and the cooling function of resource heat. Finally, The resource reservation service model proposed in this paper can be used to guide and optimize the application of cloud teaching resources, and can also provide inspiration and reference for similar research work.
【学位授予单位】：东北师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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