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and Provincial Key Laboratory for Computer Information Processing Technology, Soochow University. Corresponding authors: Hongjun Diao and Wei Huang. The work in this paper is part work of “Developing Software Using A Novel Event-Condition-State Pattern Framework: Taking Mobile Input Method System As A Case Study”. REFERENCES [1] Fei Zhu, Xiaoxu Zhu, Qiang Lv, Yiyong Shi, Yang Yang and Qiaoming Zhu, “ZFlow: Workflow for Cooperative Editing System”, Journal of Software, Vol.4, NO. 4, p. 339-347, June 2009. [2] Fei Zhu, Qiang Lv, “ACEAC: A Novel Access Control Model for Cooperative Editing with Workflow”, 2008 International Symposium on Electronic Commerce and Security, pp.1010-1014. IEEE Press, New York, 2008. [3] Microsoft Developer Network Simplified Chinese MSPY, http://msdn.microsoft.com/en-us/library. [4] Erich Gamma, Richard Helm, Ralph Johnson and John Vlissides, “Design Patterns:Elements of Reusable Object- Oriented software,” Addison Wesley Pearson, June, 2000. [5] http://en.wikipedia.org/wiki/. [6] Hongjun Diao, Fei Zhu, “A novel general event-conditionstate pattern framework,” ICIEA, pp. 1024-1027, Industrial Electronics and Applications, 2009. [7] Andy Wigley, Daniel Moth and Peter Foot, “Microsoft Mobile Development Handbook,” Microsoft Press, March, 2008. [8] Microsoft Mobile Developer Center, http://msdn.microsoft.com/en-us/windowsmobile/. [9] Symbian Developer Network, http://developer.symbian.com/. [10] Ben Morris, “The Symbian OS Architecture Sourcebook: Design and Evolution of a Mobile Phone OS ,” Wiley , July, 2008. 160
ISBN 978-952-5726-09-1 (Print) Proceedings of the Second International Symposium on Networking and Network Security (ISNNS ’10) Jinggangshan, P. R. China, 2-4, April. 2010, pp. 161-164 Reviewing some Cloud Computing Platforms + Dong Xu, and Hui Liu School of Computer Engineering and Science, Shanghai University High Performance Computing Center, Shanghai University Shanghai, China dxu@shu.edu.cn Abstract—Cloud Computing is an emerging technology in which the research community and industries have recently embarked. However, the infrastructures of most cloud computing systems today are invisible to the research community, or are not explicitly designed to the researchers interested in cloud computing systems. In this paper, we depict the Cloud computing paradigm from a variety of aspects, such as definitions, features, and technologies. Moreover, some Cloud computing Systems are illustrated as well as their architectural trade-offs. It would contribute to better comprehension of the Cloud computing technology so as to enable some communities to design more efficient clouds, and the adoption of this novel computing approach is facilitated in scientific areas. Index Terms—cloud computing, virtualization, distributed paradigm I. INTRODUCTION Currently, the Cloud computing has been emerging as a hot topic since the late of 2007. Industry and academia are starting projects related to Cloud computing. For example, Microsoft has published its Cloud computing system- Windows Azure Platform [1]. Amazon Elastic Compute Cloud [2]; IBM’s Blue Cloud [3]; HP, Intel Corporation and Yahoo! Inc. recently announced the creation of a global, multi-data center, open source Cloud computing test bed for industry, research and education [4]. In the last few years, virtualization has introduced some novel system techniques so that the cloud-provider can transparently satisfy its cloud customers’ requirements without impacting their own system utilization. Cloud computing differs from grid computing in this regard, it can run in conjunction with the original business workloads. Moreover, novel virtualization technologies, e.g. live-migration and pause-resume give rapid and transparent solutions, interference may not occur between the original systems and the cloud workloads [6]. Consequently, several business cloud models rapidly evolved to harness the technology by providing computing infrastructure, data-storage, software applications and programming platforms as services. However, the inter-relations inside cloud computing system have been ambiguous and the enable feasibility of inter-operability has been debatable while referring to the core cloud computing services. Furthermore, every cloud computing service has an + This work is supported by Shanghai Leading Academic Discipline Project, Project Number: J50103. © 2010 ACADEMY PUBLISHER AP-PROC-CS-10CN006 161 interface and employs a different access control protocol. A unified interface for each cloud computing service to support integrated access to cloud computing services is not existent, though portals and gateways can provide unified web-based user interface. So, the introduction of the cloud computing domain, its components and their inner relations are necessary to help the researchers achieve a better understanding of the novel technology. The rest of this paper is structured as follows. The motivation for this study is introduced in section II. Section III addresses the three layers in cloud computing, while section IV illustrates some cloud computing platforms. We conclude our paper and give the further work in Section V. II. MOTIVATION For the Cloud computing, there aren’t yet widely accepted definitions in spite of much attention has been given to the Cloud computing. Many researchers and practitioners have attempted to define Cloud computing in various ways. Here are some views from different perspectives. A. Wikipedia’s view According to wikipedia’s view, cloud computing is defined as that “Cloud computing is Internet- (‘cloud-’) based development and use of computer technology (‘computing’). In concept, it is a paradigm shift whereby details are abstracted from the users who no longer need knowledge of, expertise in, or control over the technology infrastructure ‘in the cloud’ that supports them. Cloud computing describes a new supplement, consumption and delivery model for IT services based on Internet, and it typically involves the provision of dynamically scalable and often virtualized resources as a service over the Internet”[5]. B. A user’s view After using some services from a cloud platform, a common user maybe says, “No more servers, no more IT managers, no more licensing. All I need is a browser. I will find the service I need and pay it when I use it based how much I used it”, i.e, Software is as a Service [17]. C. A Developer’s view In the opinion of a programmer with could computing, he concludes, “Programming an application will not be a 30 man/month job with a stupid and horrible project manager. It will be done by a couple of friends, in a long
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Proceedings The Second Internationa
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Table of Contents Message from the
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Zuming Xiao, Zhan Guo, Bin Tan, and
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Message from the Symposium Chairs T
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Second International Symposium on N
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model that can deal with time serie
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training for the Wushu competition
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information, called weak uncertain
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Student side Student side Student s
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If we define element of student as
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QoS, each frame data is divided int
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for Imaging Two and Three Phase Flo
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A. Profiling&following control algo
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Research and Realization about Conv
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PDF document structure is a tree st
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support 10 Mb / s. But ENC28J60 onl
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condition the first byte output of
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According to maximum membership deg
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ubber according to the mass ratio o
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Ⅲ. AN IMPROVED DNA ALGORITHM FOR
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Ⅴ.CONCLUSION REMARKS DNA computer
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its first child q 1 on the left, th
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chains can greatly improve efficien
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II. RELATED WORK A. Mobile Service
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special services. SOAP is used to b
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detection methods of DDoS attacks m
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Step4 calculate the new subordinate
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Figure 1. An analysis of the partit
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The preceding three formulas can be
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And the decay speed of buffer seque
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distance of view point. Given that
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Ⅳ. EVALUATION OF BLENDED LEARNING
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symmetric with respect to the origi
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each sample belongs to each categor
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A. Data Preparing To generate our t
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oth α and β . determination of Qu
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Strong earthquake 0.1< M L
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indirect causes, and the logical re
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Figure 2. Example of single-step de
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evocation and the fourth group stor
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focused mainly on rule-based forms
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Ⅵ. CONCLUSION Figure 6. The Flask
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EDCF in comparison with DCF, has so
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B. Simulation results and analysis
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in routing table. When search resou
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others through the selective emotio
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such as weather information, techno
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the opening window, a related page
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1) Process context storage areas. I
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V. CONCLUSION In this thesis, sCPU-
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main types of horizontal search env
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Enterprise Portal security provides
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() t = [ S () t S () t ] T N S ,...
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[2] Kumaravel, N., and Kavitha, V.,
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output, so BP network has been wide
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input to the artificial neural netw
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(2) In a process (tokens from outsi
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The reduction process consists of t
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all eight normal vectors are identi
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is B object , and the number of emp
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xi, j y' = εα ( (1 + tanh( )) −
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Error 8000 7000 6000 5000 4000 3000
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Architecture (AMBA) a new bus archi
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In order to ensure the smooth proce
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In this paper, we adopt two Sobel o
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four layers.The far right of the gr
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TABLE II. OPERATIONAL EMPLOYEE TABL
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A. Object-relational Type To audit
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to execution time. Also, DBA would
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Liping Chen .......................
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