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A clustering model for memory resource sharing in large scale distributed system

A clustering model for memory resource sharing in large scal...

引用

International Conference on parallel and distributed Systems (ICPADS)

作者： Rui Chu Nong Xiao Xicheng Lu National Laboratory for Parallel and Distributed Processing ChangSha Hunan China

As an application of large scale distributed network computing system, RAM Grid tries to solve the problem of memory resource sharing and utilization. Due to the special properties of memory, traditional resource information management approaches cannot be adapted easily. This paper proposes a clustering based resource aggregating scheme under the background of RAM Grid, which can reduce the scale of resource information management efficiently. With analogy to the force field and potential energy theory in physics, the basic model, the force field-potential energy model, and the corresponding distributed algorithms are proposed, respectively. The model and algorithms are also evaluated by real network topologies based simulation.

关键词： Resource management Large-scale systems Random access memory Read-write memory Information management Computer networks distributed computing Grid computing Memory management Potential energy

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Efficient Rate Adaptation in Multi-rate 802.11 Networks

Efficient Rate Adaptation in Multi-rate 802.11 Networks

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： Shaohe Lv Xiaodong Wang Xingming Zhou Chi Liu National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China

Given the multi-rate option in most 802.11 standards, rate adaptation based on dynamic channel condition is crucial to the system performance. This paper presents an efficient rate adaptation mechanism at MAC layer, called ERA, to improve the transport layer throughput. Such scheme raises the transmission rate aggressively, e.g., upon only a few consecutive successful transmissions. In opposite, we reduce the transmission rate more cautiously only when the station encounters severe consecutive frame losses or relatively high loss ratio at MAC layer. ERA also attempts to protect the performance under steady condition without losing the ability to respond to the channel variation quickly. We evaluate ERA using NS-2 simulations and find that it performs better than or at least similarly with many other proposals in various scenarios. ERA is a sender-based method and requires minor modification at sender side only, thus completely standard-compliant and very easy to be implemented and deployed.

关键词： System performance Throughput Propagation losses Protection Laboratories distributed processing Performance evaluation Proposals Physical layer Data mining

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Compositional Verification of UML Dynamic Models

Compositional Verification of UML Dynamic Models

引用

Asia-Pacific Conference on Software Engineering

作者： Wei Dong Ji Wang Zhichang Qi Ni Rong School of Computer National University of Defense Technology China National Laboratory for Parallel and Distributed Processing China

UML dynamic models are important for software analysis and design. Verifying UML dynamic models to find design errors earlier is a key issue for ensuring software quality. Because of the characteristics such as concurrency and hierarchy, model checking of UML Statecharts and collaboration diagrams faces the problem of state explosion. In this paper, UML Statecharts is firstly structurally expressed by hierarchical automata and its semantics for open systems is introduced. Then, the synchronization composition of objects in UML collaboration diagrams is expatiated, based on which the global system behaviors can be constructed. Based on hierarchical automata and simulation relation between semantics structures, the compositional rules for verifying concurrent object systems are proposed. It makes possible that the construction of global state space will be unnecessary in model checking of UML collaboration diagrams. The hierarchical structures of UML Statecharts are also brought into the compositional verification, which makes the model checking of implementation models can be carried out through replacing detailed components by abstract specifications.

关键词： Unified modeling language Concurrent computing Automata State-space methods Explosions International collaboration Software systems Software engineering distributed computing Laboratories

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Self-Learning Rate Adaptation in Multi-rate 802.11 Networks

Self-Learning Rate Adaptation in Multi-rate 802.11 Networks

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第三届IEEE无线通讯、网络技术暨移动计算国际会议

作者： Shaohe Lv Xiaodong Wang Xingming Zhou Chi Liu National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China 410073

Given the multi-rate option in most 802.11 standards, rate adaptation based on dynamic channel condition is crucial to the system performance. This paper presents an efficient self-learning rate adaptation mechanism at MAC layer, called SLRA. SLRA takes both the temporal or spatial correlation and cha- nge into account. The rate selection has two steps: one is to evaluate the performance of current rate and decide whether to adjust the rate;the second is to calib- rate the decision according to the historical experiments of rate adjustment at similar channel status. We evaluate SLRA in 802.11 network and find that it can choose the right rate at most time and performs better than other sender-side adaptation schemes.

关键词： History Performance evaluation Throughput System performance Switches Transmitters Laboratories distributed processing Physical layer Robustness

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An experimental study of the emergent behaviors of self-organized agent communities

An experimental study of the emergent behaviors of self-orga...

引用

Congress on Evolutionary Computation

作者： Shufeng Wang Hong Zhu National Laboratory for Parallel and Distributed Processing Changsha China Department of Computing Oxford Brookes University Oxford UK

Emergent behavior is an essential feature in multi-agent systems and plays a significant role in the applications of agent technology. Because of the huge gap between individual agents' behaviors and those of the whole system, specifying and reasoning about emergent behaviors are notoriously difficult. Simulation has been the essential method to study emergent behaviors in multi-agent systems. In this paper, we report an experimental study of the emergent behaviors of self-organized agent communities, in which emergent behaviors play a crucial role. The experiments confirmed the results of a theoretical analysis of agent communities using a formal theory called scenario calculus. It further provided insight into the dynamic features of the system that were very difficult to obtain by using formal logic, such as the speed of convergence to the emergent states and the relationships between the convergence time and various parameters of self-organized agent communities systems.

关键词： Evolutionary computation

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Are filter methods very effective in gene selection of microarray data?

Are filter methods very effective in gene selection of micro...

引用

IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Zhou-Jun Li Li-Juan Zhang Huo-Wang Chen School of Computer Science & Engineering Beihang University Beijing China National Laboratory for Parallel and Distributed Processing Changsha China

Feature (gene) selection is a frequently used preprocessing technology for successful cancer classification task in microarray gene expression data analysis. Widely used gene selection approaches are mainly focused on the filter methods. Filter methods are usually considered to be very effective and efficient for high-dimensional data. This paper reviews the existing filter methods, and shows the performance of the representative algorithms on microarray data by extensive experimental study. Surprisingly, the experimental results show that filter methods are not very effective on microarray data. We analyze the cause of the result and provide the basic ideas for potential solutions.

关键词： Filters Data analysis Classification algorithms Cancer Algorithm design and analysis Computer science Data engineering Laboratories distributed processing Gene expression

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A push-based prefetching for cooperative caching RAM Grid

A push-based prefetching for cooperative caching RAM Grid

引用

International Conference on parallel and distributed Systems (ICPADS)

作者： Rui Chu Nong Xiao Lei Chen Xicheng Lu National Laboratory for Parallel and Distributed Processing ChangSha Hunan China Hong Kong University of Science and Technology Kowloon Hong Kong China

As an innovative distributed computing technique for sharing the memory resources in high-speed network, RAM Grid exploits the distributed free nodes, and provides remote memory for the nodes which are short of memory. One of the RAM Grid systems named DRACO, tries to provide cooperative caching to improve the performance of the user node which has mass disk I/O but lacks local memory. However, the performance of DRACO is constrained with the network communication cost. In order to hide the latency of remote memory access and improve the caching performance, we proposed using push- based prefetching to enable the caching providers to push the potential useful memory pages to the user nodes. Specifically, for each caching provider, it employs sequential pattern mining techniques, which adapts to the characteristics of memory page access sequences, on locating useful memory pages for prefetching. We have verified the effectiveness of the proposed method through system analysis and trace-driven simulations.

关键词： Prefetching Cooperative caching Random access memory Read-write memory Delay High-speed networks File systems Costs Laboratories distributed processing

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Collaborative Search in Large-scale Unstructured Peer-to-Peer Networks

Collaborative Search in Large-scale Unstructured Peer-to-Pee...

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International Conference on parallel processing (ICPP)

作者： Yiming Zhang Dongsheng Li Lei Chen Xicheng Lu National Laboratory for Parallel and Distributed Processing National University of Defense Technology China Department of Computer Science Hong Kong University of Science and Technology Hong Kong China

Searching in large-scale unstructured peer-to-peer networks is challenging due to the lack of effective hint information to guide queries. In this paper, we propose POP, a parallel, collaborative and Probabilistic search mechanism, in which query messages are viewed as search units to collaborate with each other and aggregate the distributed hints during the search process. A scheme called distributed Bloom filter (DBF) is presented to propagate the hints with a bandwidth-aware manner, in which a node divides the received Bloom filter vector into subvectors and disseminates the fragments to its neighbors according to their bandwidth capacity. The effectiveness of POP is demonstrated through theoretical analysis and extensive simulations.

关键词： Large-scale systems Peer to peer computing Bandwidth Information filtering Information filters Analytical models Aggregates Space technology International collaboration Laboratories

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Research on the weighted reconstruction of metabolic networks

Research on the weighted reconstruction of metabolic network...

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第五届中国蛋白质组学大会暨首届粤港蛋白质组学学术交流会

作者： Zhou Tingting Wang Zhenghua Chan, K.C.C. Beijing Proteome Research Center BeijingP.R.China102206 National Laboratory for Parallel & Distributed ProcessingNational University of Deference and TechnologyChangshaP.R.China 410073 Department of computingthe HongKong Polytechnic UniversityHonghumHongkong Department of computing the HongKong Polytechnic UniversityHonghumHongkong National Laboratory for Parallel & Distributed Processing National University of Deference and TechnologyChangshaP.R.China 410073

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Relativity between gene expression level and combinatorial regulatory relationship

Relativity between gene expression level and combinatorial r...

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第五届中国蛋白质组学大会暨首届粤港蛋白质组学学术交流会

作者： Liu Wan-Lin Li Dong Liu Qi-Jun Zhu Yun-Ping He Fu-Chu State Key Laboratory of Proteomics Beijing Proteome Research CenterBeijing Institute of Radiation MedicineBeijingChina100850 State Key Laboratory of ProteomicsBeijing Proteome Research CenterBeijing Institute of Radiation MedicineBeijingChina100850 National Key Laboratory for Parallel & Distributed Processing National University of Deference and TechnologyChangshaChina410073

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