一种增强移动自组网Internet连接的改进型方案

针对移动自组网因单向链路以及盲目转播网关发现分组而造成的与Internet互联性能下降,提出了一种增强型互联方案.同时结合了先应和后应网关发现策略优点的混合网关发现策略被用来获取良好的Internet连接并保持低开销.而通过交换携带有额外增加的对称邻居节点列表和非对称邻居节点列表字段的AODV hello分组,单向链路得以从路由计算中予以清除而广播风暴也同时得到抑制.基于ns-2的仿真结果表明此改进型Internet连接方案在单向链路数量及节点移动速度均变化的应用环境下能取得较其他方案为优的互联性能.     

移动互联时代高校传媒人才培养研究

“国以才立,政以才治,业以才兴。”人才资源作为国家的第一战略资源,在社会中的地位与作用日益突出。在移动互联网时代背景下,传媒业被誉为21世纪的朝阳产业,人才建设也成为其发展的决定性因素。因而,传媒院校应以传媒业的市场需求为导向,培养、打造既懂市场经济又懂传媒规律,熟悉党的方针政策的全媒体型人才,全面推进现代传媒业的健康发展。     

安徽广播电视台B群演播室音频系统的设计和建设

本文详细介绍了安徽广播电视台新中心B群演播室音频系统的设计建设过程以及系统的核心架构,与同行交流相关音频系统的使用心得。     

中小学校园网建设及应用

在中小学校园网的规划和建设中,必须解决好不同网络之间的互联问题以及数据传输的瓶颈问题,关键技术之一就是采用划分子网的方法。本文通过中小学校园网的构成分析并讨论了子网的特征、子网划分和隔离的必要性,以此提出了子网划分的方法和技巧。     

下一代互联网及其对e-Learning的影响

下一代互联网是一项综合技术,包括了宽带、IPv6协议、网格、语义网络和移动互联等相关技术。本文侧重于从网格、语义网络和移动互联等与e-Learning设计和开发密切相关的三个方面,介绍下一代互联网对e-Learning的影响。     

室外无线网桥全攻略(一)

在都市中实现有线局域网间互联的费用是非常昂贵的。为了在被道路分隔开的两座建筑物之间布线,用户必须进行勘测、挖掘管道、重新铺路或租用每月付费的通信线路等工作。而使用无线网桥,无论建筑物是只隔一条街道还是距离几公里远,都可以在几个小时之内以很低的成本实现11Mbps或     

语文教学应课内外相结合

语文在我们的生活中无处不在,要给语文教学引入活水,激发活力,必须形成语文教学的开放系统。在学习时间上,提供学生一切机会,在学习空间上,包括学校、家庭、社会。要把在课堂上学到的方法延伸到课外。得法于课内,得宜于课外,课内外相互促进,知识与能力相互增益,给学生以更加广阔的天地。     

FARMER: A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.