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A Practical Method for Detecting Community Structures in Decentralized and Unstructured P2P Networks 分布式和非结构化P2P网络中社区结构检测的一种实用方法
International Conference on Cloud and Green Computing Pub Date : 2012-11-01 DOI: 10.1109/CGC.2012.68
Meng Liu, Zhenxing Liu, Wanchun Dou
{"title":"A Practical Method for Detecting Community Structures in Decentralized and Unstructured P2P Networks","authors":"Meng Liu, Zhenxing Liu, Wanchun Dou","doi":"10.1109/CGC.2012.68","DOIUrl":"https://doi.org/10.1109/CGC.2012.68","url":null,"abstract":"In decentralized and unstructured P2P networks like Gnutella, there is no coupling between topology and data location. Nodes can leave the network arbitrarily, which greatly affects their neighbors. We should determine in advance how many and which nodes will be affected when some nodes leave the network due to unstable Internet environment. In view of this challenge, we model the problem as detecting community structures, regarding the leaving nodes as community cores. Just as the flooding data queries in decentralized and unstructured P2P networks, the algorithm also works in a flooding way. It starts from the community cores and assign their neighbors to each corresponding community. Specifically, we focus on decentralized and unstructured P2P networks only. At last, a case study is presented for validating the method.","PeriodicalId":447458,"journal":{"name":"International Conference on Cloud and Green Computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116671078","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
An Enhanced Community Detection Method Based on Neighborhood Similarity 一种基于邻域相似性的增强社区检测方法
International Conference on Cloud and Green Computing Pub Date : 2012-11-01 DOI: 10.1109/CGC.2012.71
Shaoqian Zhang, Zhenxing Liu, Wanchun Dou
{"title":"An Enhanced Community Detection Method Based on Neighborhood Similarity","authors":"Shaoqian Zhang, Zhenxing Liu, Wanchun Dou","doi":"10.1109/CGC.2012.71","DOIUrl":"https://doi.org/10.1109/CGC.2012.71","url":null,"abstract":"Detection of community structure in a social network is important for understanding the structure and dynamics of the network. Yet, most community detection algorithms do not take attributes of nodes and connections into consideration, or only make use of connections' attributes information, not fully capturing the richness of the information contained in the data. Thus, by exploring the information of nodes and connections together in a social network, we propose an enhanced community detection method, the core of which is an agglomerative hierarchical clustering algorithm. The clustering algorithm bases on an improved evaluation algorithm of neighborhood similarity. Besides, the proposed method can provide several candidate partitions obtained according to the qualitative function modularity for users to choose. Finally, a real collaborative network of scientists is constructed with the data from DBLP and experiments on the network show that our method performs well.","PeriodicalId":447458,"journal":{"name":"International Conference on Cloud and Green Computing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125322298","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
A QoS-aware Dynamic Data Replica Deletion Strategy for Distributed Storage Systems under Cloud Computing Environments 云计算环境下分布式存储系统qos感知的动态数据副本删除策略
International Conference on Cloud and Green Computing Pub Date : 2012-11-01 DOI: 10.1109/CGC.2012.21
Bin Liao, Jiong Yu, Hua Sun, Mei Nian
{"title":"A QoS-aware Dynamic Data Replica Deletion Strategy for Distributed Storage Systems under Cloud Computing Environments","authors":"Bin Liao, Jiong Yu, Hua Sun, Mei Nian","doi":"10.1109/CGC.2012.21","DOIUrl":"https://doi.org/10.1109/CGC.2012.21","url":null,"abstract":"As the underlying core infrastructure and important component of cloud computing, distributed storage system is the foundation of all kinds of cloud services. While its replica mechanism enhanced the reliability and performance of system, the extra block replicas consume more disk space and maintenance cost significantly increased too. In this paper, we propose a novel QoS-aware Dynamic Data Replicas Delete Strategy for disk space and maintenance cost saving purpose. Experimental results demonstrate that the DRDS algorithm can save disk space and maintenance costs for distributed storage system while the available and performance QoS requirements are ensured.","PeriodicalId":447458,"journal":{"name":"International Conference on Cloud and Green Computing","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132524427","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: 19
A QoS-Aware Service Optimization Method Based on History Records and Clustering 基于历史记录和聚类的qos感知服务优化方法
International Conference on Cloud and Green Computing Pub Date : 1900-01-01 DOI: 10.1109/CGC.2012.66
Shunmei Meng, Zhenxing Liu, Wanchun Dou
{"title":"A QoS-Aware Service Optimization Method Based on History Records and Clustering","authors":"Shunmei Meng, Zhenxing Liu, Wanchun Dou","doi":"10.1109/CGC.2012.66","DOIUrl":"https://doi.org/10.1109/CGC.2012.66","url":null,"abstract":"The number of alternative Web services that provide the same functionality but differ in non-functional characteristics, i.e., Quality of Service (QoS) parameters is more and more larger, and the service providers could not always deliver their “promised” quality. In view of this challenge, we propose a QoS-aware service optimization method based on history records and clustering, named QHRC. In this method, we take advantage of the history records of services' past performance quality rather than using the tentative QoS values provided by the service providers. And an adaptive hierarchical fuzzy clustering algorithm named H2D-SC algorithm is adopted to cluster the QoS history records for each Web service, then using the centroids of the subclusters to generate QoS history-record based composition plans. Our method aims at ranking the service composition plans by the corresponding QoS history-record based composition plans to select a most qualified service composition plan. At last, we assess the efficiency of the proposed method with an example and experiments.","PeriodicalId":447458,"journal":{"name":"International Conference on Cloud and Green Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115469224","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
Study on Anti-Attack Model for Low-Latency Anonymous Communication System 低延迟匿名通信系统的抗攻击模型研究
International Conference on Cloud and Green Computing Pub Date : 1900-01-01 DOI: 10.1109/CGC.2012.57
Dongbin Sun, Wu Liu, Donghong Sun, Ping Ren
{"title":"Study on Anti-Attack Model for Low-Latency Anonymous Communication System","authors":"Dongbin Sun, Wu Liu, Donghong Sun, Ping Ren","doi":"10.1109/CGC.2012.57","DOIUrl":"https://doi.org/10.1109/CGC.2012.57","url":null,"abstract":"this paper proposes an Anti-attack Model for Low-latency Anonymous Communication System (AMLACS), which uses Center-P2P architecture to provide high-performance. And AMLACS supports anonymous communication by using spoofed source IP addresses to construct an invisible loop. KeywordsAnonymous Communication; Spoofed Source Address; Passive Attack; Active Attack","PeriodicalId":447458,"journal":{"name":"International Conference on Cloud and Green Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126729845","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
Parallel Text Clustering Based on MapReduce 基于MapReduce的并行文本聚类
International Conference on Cloud and Green Computing Pub Date : 1900-01-01 DOI: 10.1109/CGC.2012.128
Zewen Cao, Yao Zhou
{"title":"Parallel Text Clustering Based on MapReduce","authors":"Zewen Cao, Yao Zhou","doi":"10.1109/CGC.2012.128","DOIUrl":"https://doi.org/10.1109/CGC.2012.128","url":null,"abstract":"This paper analyzes challenges of ordinary text clustering algorithms and proposes cloud computing can be a feasible solution. The classical Jarvis-Patrick (JP) algorithm was adapted as a study case. It was implemented using MapReduce programming mode and was testified on the cloud computing platform-Hadoop with Sogou corpus provided by Sogou laboratory. The experiment results demonstrate that text clustering algorithm can be paralleled in MapReduce framework and parallel algorithm can handle massive textual data and get a better time performance.","PeriodicalId":447458,"journal":{"name":"International Conference on Cloud and Green Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125477031","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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