期刊：
International Journal of Multimedia and Ubiquitous Engineering,2013年8(2):123-142 ISSN：1975-0080
通讯作者：
Hu, R.(hrm1964@163.com)
作者机构：
[Hu, Ruimin; Yang, Hongyun] Computer School, Wuhan University, Hubei, 430079, China;[Hu, Ruimin] National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, 430079, China;[Yang, Hongyun] National Engineering Research Center for E-Learning, Central China Normal University, Hubei, 430072, China
摘要：
Peer-to-Peer (P2P) streaming is being considered as the most promising approach to deliver real-time video to large scale users over the Internet. Neighbor selection is one of the key components to construct overlay topology for P2P streaming systems. Currently the majority of QoS-aware neighbor selection approaches assume that the allocated bandwidth resources to individual peers are proportional to their incoming bandwidth rather than their outgoing bandwidth and don't suit for bandwidth resource scarce environments. In this paper, we incorporate taxation-based incentive mechanism into QoS aware neighbor selection method to computer the allocated number of neighbors of peers. The main contribution of this paper is: i) we incorporate linear taxation-model into SVC-based layered media delivery to determined the connection number of peers and propose a distributed bandwidth resource allocation policy; ii) when selecting neighbors, it considers existing peers' uplink capacity and source to peer's delay as a whole to handle long cumulate delay caused by bandwidth aggregation in mesh-based system. Simulation results demonstrate that under resource constraint scene, our proposed method can receive good performance compared with fixed random neighbor selection method and QoS-aware method based on bandwidth-latency ratio on the metric of the chunk loss rate, the average delivery delay, control overhead and PSNR.
作者机构：
[Chen, Dan; Wang, Lizhe] China Univ Geosci, Sch Comp, Wuhan 430074, Peoples R China.;[Wang, Lizhe] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China.;[Streit, Achim; Tao, Jie; Marten, Holger] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76021 Karlsruhe, Germany.;[Ranjan, Rajiv] CSIRO, ICT Ctr, Informat Engn Lab, Canberra, ACT, Australia.;[Chen, Jingying] Cent China Normal Univ, Natl Engn Ctr E Learning, Beijing, Peoples R China.
通讯机构：
[Wang, Lizhe] C;Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China.
关键词：
Cloud computing;Data-intensive computing;Hadoop;MapReduce;Massive data processing
摘要：
Recently, the computational requirements for large-scale data-intensive analysis of scientific data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron Collider (LHC) produced 13 petabytes of data in 2010. This huge amount of data is processed on more than 140 computing centers distributed across 34 countries. The MapReduce paradigm has emerged as a highly successful programming model for large-scale data-intensive computing applications. However, current MapReduce implementations are developed to operate on single cluster environments and cannot be leveraged for large-scale distributed data processing across multiple clusters. On the other hand, workflow systems are used for distributed data processing across data centers. It has been reported that the workflow paradigm has some limitations for distributed data processing, such as reliability and efficiency. In this paper, we present the design and implementation of G-Hadoop, a MapReduce framework that aims to enable large-scale distributed computing across multiple clusters.
期刊：
International Journal of Multimedia and Ubiquitous Engineering,2013年8(6):377-386 ISSN：1975-0080
作者机构：
[Zhu, Xiaoliang; Yang, Hongyun] National Engineering Research Center for E-learning, Central China Normal University, Hubei, 430079, China;[Chen, Xuhui] College of Mathematics and Computer Science, Wuhan Textile University, Hubei, 430070, China
关键词：
Bandwidth resource allocation;P2P lives streaming;Relative urgency of playback;Supplier side scheduler
会议名称：
IEEE International Conference on Information Science and Technology
会议时间：
2013-03-23
会议地点：
Yangzhou(CN)
会议主办单位：
[Wang, Lei;Zhang, Dengyi] Wuhan Univ, Sch Comp, Wuhan 430072, Hubei, Peoples R China.^[Yang, Hongyun] Cent China Normal Univ, Dept Natl Engn Res Ctr E learning, Wuhan 430076, Hubei, Peoples R China.
会议论文集名称：
2013 IEEE third international conference on information science and technology: ICIST 2013, Yangzhou, China, 23-25 March 2013, Pages 823-1645, [v.2]
关键词：
P2P-TV;QA-FNS;P2P
摘要：
Peer-to-Peer streaming systems (or P2P-TV) have been studied in the literature for some time, and are being considered as the most promising approach to deliver real-time video to large scale users over the Internet. Neighbor selection is one of the key components to construct overlay topology for P2P streaming system. The common QoS-awareness neighbor selection algorithms in existing overlay construction schemes usually select a fixed number of neighbors which satisfy the selection requirements, such as end-to-end delay or a peer's upload bandwidth. However, this fixed QoS-Awareness neighbor selection algorithm (QA-FNS) neglects the peers' upload bandwidth heterogeneity and therefore, the upload bandwidth cannot be efficiently used. In this paper, we propose a QoS-Awareness variable neighbor-selection (QA-VNS) scheme to alleviate the problem due to bandwidth heterogeneity, and in which the number of neighbors with different upload bandwidths is dynamically determined by the upload bandwidth information of peers. Simulation has shown that our proposed scheme is to outperform QA-FNS scheme.
摘要：
In this paper, the logistic regression model is applied to analyze the influence of the factors affecting the Basics of Computer Application and College English B exam results. To model the logistic regression by using the two course exam results as a target variable, the analysis results show that: grade, specialty and learning center have great impact on the Basics of Computer Application, while the grade, learning center, age, specialty and gender are all have very important implications on the College English B exam results..
摘要：
With the ever-increasing wireless data application recently, considerable efforts have been focused on the design of distributed explicit rate scheme based on Network Utility Maximization (NUM) or wireless multi-hop mesh networks. This paper describes a novel wireless multi-hop multicast flow control scheme for wireless mesh networks via 802.11, which is based on the distributed self-turning Optimal Proportional plus Second-order Differential (OPSD) controller. The control scheme, which is located at the sources in the wireless multicast networks, can ensure short convergence time by regulating the transmission rate. We further analyze the theoretical aspects of the proposed algorithm. Simulation results demonstrate the efficiency of the proposed scheme in terms of fast response time, low packet loss and error ration.
期刊：
2013 IEEE 13TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2013),2013年:112-114 ISSN：2161-3761
通讯作者：
Hu, Min
作者机构：
[Hu, Min; Li, Hao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.;[Liu, Qingtang] Cent China Normal Univ, Dept Informat Technol, Wuhan, Peoples R China.
通讯机构：
[Hu, Min] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
会议名称：
13th IEEE Annual International Conference on Advanced Learning Technologies (ICALT)
会议时间：
JUL 15-18, 2013
会议地点：
Beijing Normal Univ, Beijing, PEOPLES R CHINA
会议主办单位：
Beijing Normal Univ
会议论文集名称：
IEEE International Conference on Advanced Learning Technologies
摘要：
On the basis of the statistics of keywords from 5750 papers published in professional journals from 2007 to 2011 in educational technology, this paper selected the top 46 high-frequency keywords, generated co-word matrix by using SATI tools, made use of statistical analysis software SPSS for co-word clustering analysis, deeply analyzed the relationships and rules among the selected high-frequency keywords, and then explored hot topics and developing trends in the field of educational technology. After summing up, nine hot topics were finally determined, including student-centered learning activities, network education, distance education, educational informationalization.
