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Component Approach to Computational Applications on Clouds

Procedia Computer science 2011年 4卷 432-441页

作者： Maciej Malawski Jan Meizner Marian Bubak Paweł Gepner AGH University of Science and Technology Krakow Poland Center for Research Computing University of Notre Dame USA Informatics Institute Universiteit van Amsterdam The Netherlands Intel Corporation Pipers Way Swindon Wiltshire SN3 1RJ United Kingdom

Running computational science applications on the emerging cloud infrastructures requires appropriate programming models and tools. In this paper we investigate the applicability of the component model to developing such applications. The component model we propose takes advantages of the features of the IaaS infrastructure and offers a high-level application composition API. We describe experiments on a scientific application from the bioinformatics domain, using a hybrid cloud infrastructure which consists of a private cloud running Eucalyptus and the Amazon EC2 public cloud. The measured performance of virtual machine startup time and virtualization overhead indicate promising prospects for exploiting such infrastructures along with the proposed component-based approach.

关键词： cloud computing component model virtualization performance IaaS FASTA

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Robot as a service in cloud computing

Robot as a service in cloud computing

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5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010

作者： Chen, Yinong Du, Zhihui García-Acosta, Marcos Computer Science and Engineering Arizona State University Tempe AZ 85287-8809 United States Department of Computer Science and Technology Tsinghua University China Intel Corporation Embedded Computing Group Chandler AZ United States

ISBN: (纸本)9780769540818

Service-oriented architecture and cloud computing are becoming a dominant computing paradigm, as all major computing companies are supporting this paradigm and more and more organizations are adopting this paradigm. Robotics and service-oriented robotics computing start to joint this new paradigm in the past five years and are now ready to participate in large scale. This paper reports our research on service-oriented robotics computing and our design, implementation, and evaluation of Robot as a Service (RaaS) unit. To fully qualify the RaaS as a cloud computing unit, we have kept our design to comply with the common service standards, development platforms, and execution infrastructure. We also keep the source code open and allow the community to configure the RaaS following the Web 2.0 principles of participation. Developers can add, remove, and modify the RaaS of their own. For this purpose, we have implemented our RaaS on Windows and Linux operating systems running on Atom and Core 2 Duo architectures. RaaS supports programming languages commonly used for serviceoriented computing such as Java and C#. Special efforts have been made to support Microsoft Visual Programming Language (VPL) for graphic composition. We are working with high schools to use RaaS and VPL in robotics camps and robotics competitions. © 2010 IEEE.

关键词： Architecture

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Bayesian cognitive trust model based self-clustering algorithm for MANETs

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science China(Information sciences) 2010年第3期53卷 494-505页

作者： WANG Wei1,2,3 & ZENG GuoSun1,2,31Department of Computer science & technology, Tongji University, Shanghai 200092, China 2Tongji Branch, National Engineering & technology center of High Performance Computer, Shanghai 200092, China 3Key Loboratory of embedded System and Service computing, Ministry of Education, Shanghai 200092, China 1. Department of Computer Science & Technology Tongji University Shanghai 200092 China2. Tongji Branch National Engineering & Technology Center of High Performance Computer Shanghai 200092 China3. Key Loboratory of Embedded System and Service Computing Ministry of Education Shanghai 200092 China

With the introduction of mobile Ad hoc networks (MANETs), nodes are able to participate in a dynamic network which lacks an underlying infrastructure. Before two nodes agree to interact, they must trust that each will satisfy the security and privacy requirements of the other. In this paper, using the cognition inspired method from the brain informatics (BI), we present a novel approach to improving the search efficiency and scalability of MANETs by clustering nodes based on cognitive trust mechanism. The trust relationship is formed by evaluating the level of trust using Bayesian statistic analysis, and clusters can be formed and maintained autonomously by nodes with only partial knowledge. Simulation experiments show that each node can form and join proper clusters, which improve the interaction performance of the entire network. The essence of the underlying reason is analyzed through the theory of complex networks, revealing great scalability of this method.

关键词： trust model MANET self-clustering Bayesian method cognitive mobile

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Robot as a Service in Cloud computing

Robot as a Service in Cloud Computing

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The Fifth IEEE International Symposium on Service-Oriented System Engineering(第五届IEEE面向服务的系统工程国际研讨会 SOSE 2010)

作者： Yinong Chen Zhihui Du Marcos García-Acosta Computer Science and Engineering Arizona State University Tempe AZ 85287-8809 USA Department of Computer Science and Technology Tsinghua University China Intel Corporation Embedded Computing group Chandler Arizona USA

Service-oriented architecture and cloud computing are becoming a dominant computing paradigm, as all major computing companies are supporting this paradigm and more and more organizations are adopting this paradigm. Robotics and service-oriented robotics computing start to joint this new paradigm in the past five years and are now ready to participate in large scale. This paper reports our research on service-oriented robotics computing and our design, implementation, and evaluation of Robot as a Service (RaaS) unit. To fully qualify the RaaS as a cloud computing unit, we have kept our design to comply with the common service standards, development platforms, and execution infrastructure. We also keep the source code open and allow the community to configure the RaaS following the Web 2.0 principles of participation. Developers can add, remove, and modify the RaaS of their own. For this purpose, we have implemented our RaaS on Windows and Linux operating systems running on Atom and Core 2 Duo architectures. RaaS supports programming languages commonly used for serviceoriented computing such as Java and C[＃]. Special efforts have been made to support Microsoft Visual Programming Language (VPL) for graphic composition. We are working with high schools to use RaaS and VPL in robotics camps and robotics competitions.

关键词： RaaS SOA SOC Service-oriented robotics computing and robot on intel architecture

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Virtual node based adaptive routing in wireless ad hoc networks

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中国高等学校学术文摘·计算机科学 2009年第4期3卷 535-542页

作者： Gang LI Hongmei SUN Key Lab of Network Science and Technology Institute of Computing TechnologyChinese Academy of SciencesBeijing 100080China Communications Technology Lab Intel China Research CenterBeijing 100080China

It is a challenge to make the routes quickly adapt to the changed network topology when nodes fail in a wireless ad hoc *** this paper,we propose an adaptive routing protocol,which groups the network nodes into virtual nodes according to their data transfer capabilities and creates virtual-node-based *** protocol can accommodate the routes to node failures by adaptively updating the virtual nodes and just-in-time using available nodes during data *** simulations indicate that the proposed protocol can keep the routes failed-node-free when the available virtual node members cover the failed nodes scattering area.

关键词： wireless ad hoc networks mobile ad hoc networks route protocols adaptability route repair

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Runtime Engine for Dynamic Profile Guided Stride Prefetching

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Journal of Computer science & technology 2008年第4期23卷 633-643页

作者：邹琼李晓峰章隆兵 Department of Computer Science University of Science and Technology of China Intel China Research Center Key Laboratorg of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences

Stride prefetching is recognized as an important technique to improve memory access performance. The prior work usually profiles and/or analyzes the program behavior offline, and uses the identified stride patterns to guide the compilation process by injecting the prefetch instructions at appropriate places. There are some researches trying to enable stride prefetching in runtime systems with online profiling, but they either cannot discover cross-procedural prefetch opportunity, or require special supports in hardware or garbage collection. In this paper, we present a prefetch engine for JVM （Java Virtual Machine）. It firstly identifies the candidate load operations during just-in-time （JIT） compilation, and then instruments the compiled code to profile the addresses of those loads. The runtime profile is collected in a trace buffer, which triggers a prefetch controller upon a protection fault. The prefetch controller analyzes the trace to discover any stride patterns, then modifies the compiled code to inject the prefetch instructions in place of the instrumentations. One of the major advantages of this engine is that, it can detect striding loads in any virtual code places for both regular and irregular code, not being limited with plain loop or procedure scopes. Actually we found the cross-procedural patterns take about 30% of all the prefetchings in the representative Java benchmarks. Another major advantage of the engine is that it has runtime overhead much smaller （the maximal is less than 4.0%） than the benefits it brings. Our evaluation with Apache Harmony JVM shows that the engine can achieve an average 6.2% speed-up with SPECJVM98 and DaCapo on intel Pentium 4 platform, in spite of the runtime overhead.

关键词： stride prefetching dynamic profiling runtime system

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Balance the battery life and real-time issues for portable real-time embedded system by applying DVS with battery model

Balance the battery life and real-time issues for portable r...

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34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008

作者： Tianzhou, Chen Jiangwei, Huang Lingxiang, Xiang Xinliang, Wu Intel Embedded Technology Center College of Computer Science and Technology Zhejiang University Hang Zhou Zhejiang 310027 China

ISBN: (纸本)9781424417667

Power consumption and real-time have been two of the major constraints in the mobile computing system design. Much work has been done to study the relationship between power, performance and real time issues. Many of existing studies assumed that the energy of the battery is a constant parameter. In fact, the energy of the battery is affected by the load current. This paper presents a battery model driven power aware real-time software system design. In this paper we take the characteristics of battery into account. And our work is applying DVS to Hard Real time embedded system with Battery model. This new approach is more accurate to reflect the tradeoff between battery life and real-time performance. © 2008 IEEE.

关键词： Systems analysis

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Dynamic power management framework for multi-core portable embedded system 08

Dynamic power management framework for multi-core portable e...

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1st International Forum on Next-Generation Multicore / Manycore Technologies, IFMT'08

作者： Chen, Tianzhou Huang, Jiangwei Xiang, Lingxiang Shi, Qingsong Intel Embedded Technology Center College of Computer Science Zhejiang University ZheDa Road 38 Hangzhou Zhejiang 310027 China

ISBN: (纸本)9781605584072

In this paper we introduce dynamic power management framework for multi-core embedded system. This is a novel architecture for multi-core embedded system. In this framework user can add user defined policies to the architecture. And user also can add some running constrains to the framework. This framework could parse the user input, and give the right power control instruction to the global policy layer. © ACM 2008.

关键词： embedded systems

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THU and ICRC at TRECVID 2008

THU and ICRC at TRECVID 2008

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TREC Video Retrieval Evaluation, TRECVID 2008

作者： Liang, Yingyu Liu, Xiaobing Wang, Zhikun Li, Jianmin Cao, Binbin Cao, Zhichao Dai, Zhenlong Guo, Zhishan Li, Wen Luo, Leigang Meng, Zhaoshi Qin, Yinfeng Qiu, Shi Tian, Aibo Wang, Dong Wang, Qiuping Zhu, Chenguang Hu, Xiaolin Yuan, Jinhui Yuan, Peijiang Zhang, Bo Chen, Shi Li, Jian Guo Wang, Tao Zhang, Yimin Department of Computer Science and Technology Tsinghua University Beijing China Scalable Statistical Computing Group in Application Research Lab MTL Intel China Research Center Beijing China

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Editorial: Dependability and security

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IEEE Transactions on Dependable and Secure computing 2008年第1期5卷 1-3页

作者： Iyer, Ravishankar K. Gligor, Virgil D. Kalbarczyk, Zbigniew T. Kanoun, Karama Katzenbeisser, Stefan Mukherjee, Shubu Shieh, Shiuhpyng Zorian, Yervant Department of Electrical and Computer Engineering Carnegie Mellon University Microsoft's Trusted Computing Academic Advisory Board Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois Urbana-Champaign United States IEEE IEEE Computer Society LAAS CNRS IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance Special Interest Group on Dependability Benchmarking IFIP Working Group 10.4 French SEE Technical Committee on Trustworthy Computer Systems SEE Working Group Design and Validation for Dependability Technical University Munich Germany Darmstadt University of Technology ACM IACR Intel's SER Tech Council Intel's Architecture Patent Committee Taiwan Information Security Center NCTU IEEE Reliability Society Taipei and Tainan IACR United States Virage Logic Corp. AT and T Bell Laboratories Logic Vision Inc. University of British Columbia IEEE Test Technology Technical Council

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