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2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)最新文献

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Analyzing trust concerns in public clouds using finite state automata 使用有限状态自动机分析公共云中的信任问题
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868297
Aaron Zimba, Chen Hongsong
{"title":"Analyzing trust concerns in public clouds using finite state automata","authors":"Aaron Zimba, Chen Hongsong","doi":"10.1109/CCIOT.2016.7868297","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868297","url":null,"abstract":"The perquisites of cloud computing as utility computing over conventional computing are quite evident yet not all users have come to fully embrace this new computing paradigm. The major concern regarding cloud computing is that of the associated security risks. Security risks keep users doubting whether to migrate to the cloud hence triggering trust concerns. Cloud service providers are tasked with the burden of proving to users that they are able to live up to the challenge. Many solutions have been suggested to mitigate cloud security challenges but trust concerns have always lurked in the background. This paper proposes the use of a conceptual finite state automaton to partition the various instances of cloud data into states and transitions. The security concerns of each state and transitions are henceforth analyzed with respect to trust concerns which arise under those respective instances. Since a finite state automaton is scalable, new emerging trust concerns can be addressed by integrating the security concerns they emanate from into new instances of states or transitions hence the flexibility of the proposed approach.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123563902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Marine speech cloud design and implementation 海洋语音云的设计与实现
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868302
Sun Zhihong
{"title":"Marine speech cloud design and implementation","authors":"Sun Zhihong","doi":"10.1109/CCIOT.2016.7868302","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868302","url":null,"abstract":"Providing speech interaction in cloud computing services is a new trend. Current speech clouds in the market are facing common areas. In response to this situation, we propose a marine-oriented field speech cloud, which can meet the individual needs of cloud computing solutions. This paper firstly introduces the soap protocol and describes the speech service system based on soap. Then it gives a speech service system of cloud computing architecture and provides a customizability method of speech cloud which offers personalized service for users in the field of Marine. Finally experiment evaluation proves that marine speech cloud system has more advantages, and has certain extensibility compared with the traditional C/S architecture of speech system.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125062419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
T-Netm: Transparent network monitoring on virtual machine T-Netm:虚拟机上的透明网络监控
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868304
Pengchuan Du, Xiaoyong Li
{"title":"T-Netm: Transparent network monitoring on virtual machine","authors":"Pengchuan Du, Xiaoyong Li","doi":"10.1109/CCIOT.2016.7868304","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868304","url":null,"abstract":"With the increasing deployment of the cloud computing, security issues of the cloud computing have drawn more and more attentions. In addition, as the virtualization is the core technology of the cloud computing, it has also attracted widespread attentions in both industry and academy. It is widely acknowledged that cloud computing could not be widely adopted in industry unless correctly identify and deal with the security threats. In this paper, we present a transparent network monitoring system on virtual machine. The monitoring system is deployed in the host system and isolated from the target virtual machine. Extensive experiments have been conducted in this paper. The experimental results have verified the effectiveness and practicality of the system.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125707965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on text structuralization in medical field 医学领域文本结构化研究
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868324
Xiangwu Ding, Xihua Zhang
{"title":"Research on text structuralization in medical field","authors":"Xiangwu Ding, Xihua Zhang","doi":"10.1109/CCIOT.2016.7868324","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868324","url":null,"abstract":"Transforming the non-structured medical text data into structured data is the basis of the processing and analysis of medical data. The effect of general-purpose word segmentation tools recognizing terminology is not ideal, which greatly affects the accuracy of the word segmentation, and further influences the result of text structuralization. In view of above problems, this paper puts forward a method of discovering new words based on word embedding. It uses Google open source word vector tool word2vec to train text and map the words into abstracted n-dimensional vector space. We can get the latent semantic relations between words and words in the corpus. And then combining the information entropy and word frequency, we can find new words. Finally, we design information extraction rules to get the key information according to the new words, and organize them into structured data. Experimental results on real medical data show that the accuracy is improved by 10% compared to traditional method, and the time is saved by 18% compared to traditional method.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128115299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on earthquake emergency response technology based on Google Maps data 基于Google Maps数据的地震应急响应技术研究
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868308
Qing-quan Tan, Hua-Chun Luo, Z. Ren, Qun Liu
{"title":"Research on earthquake emergency response technology based on Google Maps data","authors":"Qing-quan Tan, Hua-Chun Luo, Z. Ren, Qun Liu","doi":"10.1109/CCIOT.2016.7868308","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868308","url":null,"abstract":"As is well known, earthquake often inflicts severe casualties and property losses. The occurrence of earthquakes cannot be reliably predicted by current technology, therefore the earthquake emergency and rescue is an important part of protecting against and mitigating earthquake disasters. Basic geographical data play an important role in earthquake emergency work. However, it is hard to acquire the spatial data of the earthquake site in short time. Therefore, the Google Maps data could be applied in the early stage of post-earthquake emergency work. This paper discusses the principles of Google Maps and technologies of applying Google Maps data in earthquake emergency work. The downloading and merging algorithm is designed and implemented. Using Google Maps data and the program, we produced thematic maps in real earthquake emergency work. It is proved that the methods are feasible and have great practical application significance.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131812479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
An implementation of heterogeneous architecture based MapReduce in the clouds 基于异构架构的MapReduce在云中的实现
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868295
Yusong Tan, Wenzhu Wang, Q. Wu, Jie Lin
{"title":"An implementation of heterogeneous architecture based MapReduce in the clouds","authors":"Yusong Tan, Wenzhu Wang, Q. Wu, Jie Lin","doi":"10.1109/CCIOT.2016.7868295","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868295","url":null,"abstract":"With the rapid development of computer technology, heterogeneous architecture based MapReduce (HA-MapReduce for short) is widely studied in the big data processing domain. Meanwhile, cloud computing is becoming an important alternative for providing computational infrastructure. Therefore, in this paper, we propose an implementation of HA-MapReduce in the cloud environment. First, we design a uniform MapReduce framework for heterogeneous architecture, which can utilize CPU and coprocessor cooperatively and efficiently. Second, we propose a coprocessor token mechanism for handling the coprocessor scalability and fault tolerance issues. Finally, we design a lightweight virtualization based cloud platform for low overhead and easy deployment. We deploy a CPU-MIC heterogeneous cluster for our HA-MapReduce and cloud platform. The experimental results show that our system is up to 1.21× and 1.38× faster than VM-based cloud platform, and 2.31× to 8.39× speedups than CPU-based Hadoop.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"486 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Community detection and key nodes of complex technology exchange network 社区检测与复杂技术交流网络关键节点
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868312
N. Xiao
{"title":"Community detection and key nodes of complex technology exchange network","authors":"N. Xiao","doi":"10.1109/CCIOT.2016.7868312","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868312","url":null,"abstract":"The complex technology exchange network is composed of the vendor, the vendee and the transaction characteristics. In this construction, vendee and vendor were painted as vertices and the trades were painted as the lines, which connected the points together. The paper is pointed at analysising the result by using the igraph package of R. In accordance with different algorithms, we picked the best suitable one at last to detect the regular pattern in it about the important vertices.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133549195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Solving hybrid flow-shop scheduling based on improved multi-objective artificial bee colony algorithm 基于改进的多目标人工蜂群算法求解混合流水车间调度问题
2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT) Pub Date : 2016-10-01 DOI: 10.1109/CCIOT.2016.7868300
Liang Xu, Jiang Yeming, Huang Ming
{"title":"Solving hybrid flow-shop scheduling based on improved multi-objective artificial bee colony algorithm","authors":"Liang Xu, Jiang Yeming, Huang Ming","doi":"10.1109/CCIOT.2016.7868300","DOIUrl":"https://doi.org/10.1109/CCIOT.2016.7868300","url":null,"abstract":"In the model of hybrid flow shop scheduling problem with unrelated parallel machines, the makespan, total weighted earliness/tardiness and total waiting time are established as evaluation index. An algorithm of artificial bee colony based on the method of adaptive neighborhood search is designed. According to the characteristics of the model, initial processing sequence is used as solution vector in order to narrow down feasible solutions. Fitness of populations is distinguished by non-dominated sorting. In the process of iteration, excellent individuals are retained so that the diversity of population distribution is increased. Finally, the method is applied to a simulation example, compared with the traditional multi-objective algorithm. The results obtained demonstrate that the improved ABC algorithm for hybrid flow shop scheduling problem is good effective and diversified.","PeriodicalId":384484,"journal":{"name":"2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126999426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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