@article {451,
	title = {Analysis of information management and scheduling technology in hadoop},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {133 - 138},
	abstract = {Development of big data computing has brought many changes to society and social life is constantly digitized. {\textquoteright}How to handle vast amounts of data{\textquoteright} has become a more and more fashionable topic. Hadoop is a distributed computing software framework, which includes HDFS and MapReduce distributed computing method, make distributed processing huge amounts of data possible. Then job scheduler determines the efficiency of Hadoop clusters and user experience. Under the premise of familiar with the mechanism of Hadoop{\textquoteright}s running tasks, make a full analysis of the existing Hadoop task scheduling algorithm, such as FIFO-Scheduler, Capacity-Scheduler, FairShare-Scheduler and LATE-Scheduler, found that the existing scheduling algorithms do not perceive the performance of the computing node, so that it cannot assign different tasks depending on the machine performance in heterogeneous Hadoop cluster.},
	keywords = {Cloud computing, Hadoop, Map Reduce, Task Scheduling},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903118321\&partnerID=40\&md5=9c6201daf048bd5fc8d52c577eeb6126},
	author = {Weihua, M. and Hong, Z. and Qianmu, L. and Bin, X.}
}
@article {457,
	title = {An indirect security trust method based on credibility evaluation},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {139 - 150},
	abstract = {In existing trust models, the recommending services often provide a single trust value (computed by them during their interaction with the unknown entity in question) as a recommendation. However, a single trust value recommended by a recommender represents its subjective opinion about the unknown entity and cannot depict the real trust level very well under certain circumstances. To solve this problem, a fuzzy based credibility evaluation method for indirect trust computation is proposed. The calculation method cannot just incorporate a mechanism to determine the weight each valid recommendation should carry on aggregation process, but also distinguish between honest and dishonest recommendations in the meantime.},
	keywords = {Credibility Evaluation, Fuzzy based Evaluation, Indirect Recommendation, Reputation, Security Evaluation, Trust Mechanism},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903216443\&partnerID=40\&md5=a59d1e2ce7d032c7b4f8031b81f95742},
	author = {Xianghe, W. and Hong, Z. and Zhen, L. and Qianmu, L. and Bin, X.}
}
@article {446,
	title = {A SEIR model epidemic of virus on the online social network},
	journal = {Journal of Digital Information Management},
	volume = {12},
	year = {2014},
	note = {Export Date: 10 July 2014},
	month = {2014},
	pages = {102 - 107},
	abstract = {Vigorous development of computer technology has made computers play an integral role in people{\textquoteright}s lives, but at the same time propagation of the virus on a computer network also cost a great loss to the people. So the research on the mechanism of computer virus propagation and pointing out the key factors in the propagation of the virus has a significant influence on the prevention of computer virus and can also promote the development of relevant policies. The paper researched the influence of the user re-login frequency, the average number of friends on the user{\textquoteright}s friend list and the initial spread rate of the virus on the social networks during the epidemic of the propagation of the computer virus. By the means of mathematical analysis, an SEIR model to describe the epidemic of the virus on the online social network is established in this paper. The research shows that the re-login frequency of the user and the average friend number of the user would make a significant influence on the virus propagation. The two factors enhance the risk of a virus outbreak in the social network, at the same time.},
	keywords = {Complex network, Computer virus, Epidemic spreading, Social Network, Social networks, Transmission factor, Virus propagation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903186303\&partnerID=40\&md5=6a9d4aa50e806dcc14698506b1e5b115},
	author = {Min, Y. and Qianmu, L. and Yaoliang, S.}
}
