2010 Fifth Annual ChinaGrid Conference最新文献

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Trust-GSM: A Trust Aware Security Model for Multi-domain Grid 基于信任感知的多域网格安全模型Trust- gsm
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.49
Tiezhu Zhao, Shoubin Dong
{"title":"Trust-GSM: A Trust Aware Security Model for Multi-domain Grid","authors":"Tiezhu Zhao, Shoubin Dong","doi":"10.1109/ChinaGrid.2010.49","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.49","url":null,"abstract":"Grid security is a major requirement in grid computing. Trust management is considered as an effective approach to enhance grid security. This paper introduces the trust into the multi-domain grid and qualifies grid trust as the relationship between grid resource providers and grid consumers. In order to provide more flexible and scalable protection for grid resources and services in multi-domain grid, this paper puts forward a novel trust model in multi-domain grid environment. As an application of our trust model, this trust model is originally introduced into grid security framework as an important component of security framework. By analyzing the case study, it is easy to see that our trust aware security model can meet the security requirement of multi-domain grid environment and has the characters of better security, scalability and flexibility.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"20 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131539839","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 Cloud Model Theory Based Trust Inference Mechanism 基于云模型理论的信任推理机制
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.19
Wei Du, Wei Liu, Zhihao Xu
{"title":"A Cloud Model Theory Based Trust Inference Mechanism","authors":"Wei Du, Wei Liu, Zhihao Xu","doi":"10.1109/ChinaGrid.2010.19","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.19","url":null,"abstract":"As an important nature of subjective trust, uncertainty should be preserved and exhibited in trust definition, representation and inference. In view of the problems in existing mechanisms based on random mathematics and fuzzy set theory, this paper designs a trust inference mechanism based on cloud model theory. We define trust and trust level in form of cloud. Then we propose new measure for formalized reasoning of trust.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134221186","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
Study on Process of Network Traffic Classification Using Machine Learning 基于机器学习的网络流量分类过程研究
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.53
Jianmin Wang, Cheng-Lu Qian, Chunhui Che, Haitao He
{"title":"Study on Process of Network Traffic Classification Using Machine Learning","authors":"Jianmin Wang, Cheng-Lu Qian, Chunhui Che, Haitao He","doi":"10.1109/ChinaGrid.2010.53","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.53","url":null,"abstract":"Classification of network traffic is the essential step for many network researches. Machine learning based approach is one of the most important approaches in the field of network traffic classification. Many related algorithms have been issued by researchers while the whole process contains a series of steps except building the algorithm and few researchers perform description. In this paper, a detailed workflow of machine learning based network traffic classification in campus network of SunYat-sen University is described, including steps such as data preparation and model construction. In the latter part of the paper, simple experiments are performed to prove the effectiveness of machine learning approach.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114298378","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: 7
Data Management in Structural Engineering Experiment Grid 结构工程实验网格数据管理
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.33
Xiaohui Zhang, Ruihua Di, Zi-jun Weng
{"title":"Data Management in Structural Engineering Experiment Grid","authors":"Xiaohui Zhang, Ruihua Di, Zi-jun Weng","doi":"10.1109/ChinaGrid.2010.33","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.33","url":null,"abstract":"In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity of structured data, which can be overcome by SEEDMF, is discussed in detail. Finally, the portal of Engineering Experimental Data Management System(SEEDMS) which is a part of SEE-Grid is demonstrated.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115849735","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
Towards Scalable Middleware for Multiplayer Online Games 面向多人在线游戏的可扩展中间件
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.56
Xuping Tu, Lei Wu, Long Zheng, Hai Jin, Wenbin Jiang
{"title":"Towards Scalable Middleware for Multiplayer Online Games","authors":"Xuping Tu, Lei Wu, Long Zheng, Hai Jin, Wenbin Jiang","doi":"10.1109/ChinaGrid.2010.56","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.56","url":null,"abstract":"Warcraft III is one of the most popular Multiplayer Online Game (MOG) games, where users are designed to interact with support of a dedicated server. PKTown is a P2P-based third-party middleware developed to replace the dedicated servers. This paper presents the scalability and robustness of PKTown 2.0 architecture. The evaluation demonstrates the efficiency of the architecture.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126361152","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
A Self-Optimizing Computation Partitioning Algorithm for Distributed Many-Task Computing 分布式多任务计算的自优化计算划分算法
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.51
Huashan Yu, Yingnan Li, Xianguo Wu, Jian Xiao, Xiaoming Li
{"title":"A Self-Optimizing Computation Partitioning Algorithm for Distributed Many-Task Computing","authors":"Huashan Yu, Yingnan Li, Xianguo Wu, Jian Xiao, Xiaoming Li","doi":"10.1109/ChinaGrid.2010.51","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.51","url":null,"abstract":"Many-task computing (MTC) is a practical paradigm for developing loosely coupled and complex scientific applications. In this paradigm, computation on a large dataset is decomposed into tasks that are expected to be executed in parallel with dynamically allocated computing resources. These tasks pass data via files, and each one is to execute an existing program on one dataset element. Task scheduling is a key issue to enable MTC on parallel platforms like large-scale clusters, Grids and Clouds. Current solutions mainly focus on maximizing the number of utilized parallel computing resources. This paper proposes a configurable MTC model that aims to minimize a MTC computation’s turnaround time cost with as few resources as possible. The primary strategy is to coalesce tasks with application-specific expertise into task-sequences, and assign tasks on granularity of task-sequences. Based on this model, a self-optimizing task partitioning algorithm has been devised for scheduling tasks in MTC. It separates task assignment from resource allocation, and makes a tradeoff between maximizing utilized resources, balancing workload and reducing computation-scheduling overhead. The algorithm has been implemented in Harmonia, which is a software platform developed by Peking University for enabling MTC on large-scale distributed platforms. Both the configurable MTC model and the self-optimizing task partitioning algorithm were evaluated with the genome alternative splicing application, and experimental results have proved the model’s practicability.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133377874","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 Novel Software Deployment Method Based on Installation Packages 一种基于安装包的软件部署方法
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.32
Hongbo Tian, Xiaoyi Zhao, Zhixing Gao, Taiqiang Lv, Xiaoshe Dong
{"title":"A Novel Software Deployment Method Based on Installation Packages","authors":"Hongbo Tian, Xiaoyi Zhao, Zhixing Gao, Taiqiang Lv, Xiaoshe Dong","doi":"10.1109/ChinaGrid.2010.32","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.32","url":null,"abstract":"The numbers of deployed computational servers in datacenters are becoming larger and larger driven by growing processing requirements, which poses a new challenge to software deployment due to the large amount of nodes involved in the deployment process. Consequently, traditional approach software deployment can not scale well because of their time-consumption properties. In order to solve this problem and provide an efficient solution, this paper proposes a new method for deploying software automatically in large-scale clusters. Softwares are classified into categories according to their installation process. We developed a software prototype SDS: Software Deployment System to verify and test the proposed method. By improving the deployment program based on the traditional installation package, the approach can resolve the difficulty of interaction between administrator and deployment processes during software deployment to achieve the automatic deployment of software. Experimental results show that the system can efficiently deploy software on Linux cluster and outperform linear growth software deployment system.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123707360","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
A Survey on I/O Virtualization and Optimization I/O虚拟化与优化研究综述
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.54
Binbin Zhang, Xiaolin Wang, R. Lai, Liang Yang, Yingwei Luo, Xiaoming Li, Zhenlin Wang
{"title":"A Survey on I/O Virtualization and Optimization","authors":"Binbin Zhang, Xiaolin Wang, R. Lai, Liang Yang, Yingwei Luo, Xiaoming Li, Zhenlin Wang","doi":"10.1109/ChinaGrid.2010.54","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.54","url":null,"abstract":"This paper surveys virtualization of I/O devices, which is one of the most difficult parts in system virtualization. Current technologies of virtualizing I/O devices include full virtualization, paravirtualization, software emulation and VMM-bypass direct I/O. Optimizations are also done to improve the performance of each technology. Most optimizations used paravirtualization technology for reference. VMM-bypass direct I/O performs the best performance, but the VM direct-access I/O devices is difficult to be migrated, for it is hard to capture the states of the devices without VMM interference. An ideal approach is still required, and all the optimizations to the other approaches can be used for reference. We evaluated I/O performance in KVM and proposed some optimizations to improve KVM.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128375910","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: 21
Design and Realization of Virtualization-Based Basic Simulation Computing Resource Management Platform 基于虚拟化的基础仿真计算资源管理平台的设计与实现
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.18
Shaochong Feng, Yanqiang Di, Yuanchang Zhu
{"title":"Design and Realization of Virtualization-Based Basic Simulation Computing Resource Management Platform","authors":"Shaochong Feng, Yanqiang Di, Yuanchang Zhu","doi":"10.1109/ChinaGrid.2010.18","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.18","url":null,"abstract":"the progress of distributed interaction simulation is restricted by the traditional Basic Simulation Computing Resource (BSCR). It is difficult to speedily customize BSCR on demand. Aiming at this question, a BSCR management platform is proposed based on the virtualization technology. Upon the platform, users could apply for a Virtual Machine (VM) as BSCR to execute simulation application. B/S architecture is adopted by the platform. On server side, the function servers control the state and performance of the virtual machines and the web server queries the computing performance parameter, chooses relevant algorithm, dispatches virtual machine and finally guides the user into operating desktop of the VM. The structure of the platform is introduced, and the construction of the key modules is discussed in detail. In the end, a process of creating new VM is described by an interaction diagram. By adjusting the machine state, the equipment performance parameter and software environment of the VM, the platform can quickly and dynamically provide users with perfect BSCR.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127174959","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
The Parallel of GAA by OpenMP 基于OpenMP的GAA并行
2010 Fifth Annual ChinaGrid Conference Pub Date : 2010-07-16 DOI: 10.1109/ChinaGrid.2010.11
Chengdong Pu, Sicheng Chen
{"title":"The Parallel of GAA by OpenMP","authors":"Chengdong Pu, Sicheng Chen","doi":"10.1109/ChinaGrid.2010.11","DOIUrl":"https://doi.org/10.1109/ChinaGrid.2010.11","url":null,"abstract":"With a peak speed of 280.6 TFlops/s IBM BlueGene/L cluster putting into use, high-performance computers are faced with the rapid development and dual-core processor computers allow users to face the emergence of ubiquitous parallel. How to change existing serial algorithms into parallel algorithms and how to implement parallel algorithms on multi-core computer are urgent task for the development of high-performance computing. This paper tries to parallel genetic annealing algorithm (GAA) by using OpenMP on four-core compute, and experiment result shows that the performance has been significantly improved.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":" 27","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133017976","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
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