2010 Sixth International Conference on Semantics, Knowledge and Grids最新文献_第2页

Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction 二维经验模态分解在图像特征提取中的仿真研究

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.70

Qin Wang, Ran Jin, Kun Gao

引用次数: 1

Optimization Research on Processes I/O Performance in Container-level Virtualization 容器级虚拟化进程I/O性能优化研究

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.20

Yi Zhao, Taoying Liu, Guanyuan Zhang, Jiangning Cui

{"title":"Optimization Research on Processes I/O Performance in Container-level Virtualization","authors":"Yi Zhao, Taoying Liu, Guanyuan Zhang, Jiangning Cui","doi":"10.1109/SKG.2010.20","DOIUrl":"https://doi.org/10.1109/SKG.2010.20","url":null,"abstract":"As representative of container-level virtualization, the core idea of OpenVZ group scheduling is fairness. System ensures CPU time is shared fairly among virtual containers and among processes belonging to the same container. Thus processes may not be scheduled immediately when awakened by I/O, affecting their responsiveness and I/O throughput. If breaking this kind of absolute fairness and permitting processes to deal with current burst I/O events by borrowing their future time temporarily, I/O performance will be improved. The approach also does not destroy system fairness in the long run. The paper analyses OpenVZ group scheduling and points out factors that affect I/O performance of processes in virtual containers. To solve these problems, we make two layers of optimization. In virtual container layer, we implement container preemption based on I/O by priority queue, in bottom layer, we still permit optimized processes to take precedence over other processes to use CPU in the case of continuous I/O, also maintaining original time mechanism and minimizing system modification. We evaluate network response time, network throughput, block I/O throughput, test results demonstrate at the scheduling cost of 2.9% processes’ I/O performance is ameliorated remarkably.","PeriodicalId":105513,"journal":{"name":"2010 Sixth International Conference on Semantics, Knowledge and Grids","volume":"12 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113990145","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

COTE: A Clustering Scheme with Optimal Tiers and Energy Efficiency in Wireless Sensor Networks 无线传感器网络中具有最优层和能量效率的聚类方案

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.26

L. Tan, Y. Ying, W. Liu

引用次数: 1

Ontology-based Integration and Interoperation of XML Data 基于本体的XML数据集成与互操作

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.77

Ze Hua, JianMin Ban

引用次数: 4

Security and Privacy in Cloud Computing: A Survey 云计算中的安全和隐私:一项调查

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.19

Minqi Zhou, Rong Zhang, W. Xie, Weining Qian, Aoying Zhou

{"title":"Security and Privacy in Cloud Computing: A Survey","authors":"Minqi Zhou, Rong Zhang, W. Xie, Weining Qian, Aoying Zhou","doi":"10.1109/SKG.2010.19","DOIUrl":"https://doi.org/10.1109/SKG.2010.19","url":null,"abstract":"Cloud Computing is becoming a well-known buzzword nowadays. Many companies, such as Amazon, Google, Microsoft and so on, accelerate their paces in developing Cloud Computing systems and enhancing their services to provide for a larger amount of users. However, security and privacy issues present a strong barrier for users to adapt into Cloud Computing systems. In this paper, we investigate several Cloud Computing system providers about their concerns on security and privacy issues. We find those concerns are not adequate and more should be added in terms of five aspects (i.e., availability, confidentiality, data integrity, control, audit) for security. Moreover, released acts on privacy are out of date to protect users' private information in the new environment (i.e., Cloud Computing system environment) since they are no longer applicable to the new relationship between users and providers, which contains three parties (i.e., Cloud service user, Cloud service provider/Cloud user, Cloud provider). Multi located data storage and services (i.e., applications) in the Cloud make privacy issues even worse. Hence, adapting released acts for new scenarios in the Cloud, it will result in more users to step into Cloud. We claim that the prosperity in Cloud Computing literature is to be coming after those security and privacy issues having be resolved.","PeriodicalId":105513,"journal":{"name":"2010 Sixth International Conference on Semantics, Knowledge and Grids","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524170","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: 227

Rank Internet Service Quality Using Multiple Features: A Machine Learning Approach 使用多种特征对互联网服务质量进行排名:一种机器学习方法

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.27

Dandan Tu, Chengchun Shu, Jingwei Shi, Tao Zhu, Shuang Wang, Haiyan Yu

{"title":"Rank Internet Service Quality Using Multiple Features: A Machine Learning Approach","authors":"Dandan Tu, Chengchun Shu, Jingwei Shi, Tao Zhu, Shuang Wang, Haiyan Yu","doi":"10.1109/SKG.2010.27","DOIUrl":"https://doi.org/10.1109/SKG.2010.27","url":null,"abstract":"This paper addresses the problem of Ranking Internet service quality by taking a machine learning approach using multiple service features. Ranking helps find good services for applications that use services as building blocks. Unlike other ranking problems, the goodness of Internet service qualities is dependent upon multiple key features. The key features vary across different service categories and have unequally discriminative natures. This paper divides the ranking problem into four subtasks including categorizing services according to the service functionalities, identifying key features that determine the quality, denoising for feature measurement values and computing global ranking scores with multiple key features, which are cast into machine learning problems and solved using techniques classification, feature selection, clustering, and regression respectively. In particular, we propose in this paper an efficient dense-block based denoising method for subjective features, and a Supported Vector Regression based method for computing global ranking scores. Experimental results on both synthetic and real data show that the proposed approach can quantitatively identify the key features across service categories, discard noisy measurement values in 10 times faster, and compute the global ranking scores using multiple features with low mean squared errors for both linear and nonlinear ranking functions.","PeriodicalId":105513,"journal":{"name":"2010 Sixth International Conference on Semantics, Knowledge and Grids","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115970099","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

Computing ST Reliability of 2-State Stochastic Flow Networks Using a New Topological Formula 用一种新的拓扑公式计算两态随机流网络的ST可靠度

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.53

Fei Gao, HaoLiang Hu

引用次数: 1

Development of a Logic Layer in the Semantic Web: Research Issues 语义Web中逻辑层的开发:研究问题

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.61

N. Janjua, F. Hussain

引用次数: 9

Approximate Ontology Matching Based on Structure Quantization 基于结构量化的本体近似匹配

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.28

Shuai Liang, Qiang-Yi Luo, Zhenhong Huang

引用次数: 0

Improve the Performance of Data Grids by Value-Based Replication Strategy 利用基于值的复制策略提高数据网格的性能

2010 Sixth International Conference on Semantics, Knowledge and Grids Pub Date : 2010-11-01 DOI: 10.1109/SKG.2010.48

Wuqing Zhao, Xianbin Xu, Zhuowei Wang, Yuping Zhang, Shuibing He

引用次数: 9