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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yunlong Wu Chen Chen Huiquan Wang Jie Zhou Xinhai Xu National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan 410073 China National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan P. R. China School of Computer National University of Defense Technology Changsha Hunan 410073 China

The malicious code detection based on behaviors has proved effective. But there are high false positives and high false negatives when using this method. Because the behaviors are always out-of-order and redundant. To solve these problems, this paper proposes a detection method based on statistical analysis. Firstly, this method uses association rules to sort out the behaviors, and then we can get the integrated and accurate behavior sequences. Secondly, by using the association algorithm we can pick up the signatures of behavior sequences. In addition, this method can detect the signatures to judge the threat based on statistical analysis. Experimental results indicate that it can reduce both the false positives and the false negatives effectively.

关键词： Mathematical model Statistical analysis Equations Association rules Educational institutions Algorithm design and analysis Estimation

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Java: From "Hard Coding" to Using an Integrated Development Environment

Java: From "Hard Coding" to Using an Integrated Development ...

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International Conference on (DFMA) distributed Frameworks for Multimedia Applications

作者： Ali R. Mustafa Kattan Rosni Abdullah Rosalina Abdul Salam Parallel & Distributed Processing Laboratory School ofComputer Sciences Universiti Sains Islam Malaysia Penang Malaysia Parallel & Distributed Processing Lab School of Computer Sciences Universiti Sains Malaysia

Being a Java developer the decision of starting to use an integrated development environment (IDE) instead of a set of discrete programming tools, is to be taken sooner or later. This paper identifies the favorite features to opt for, in selecting a suitable IDE, what should be used and by whom with plethora of such IDEs. Though IDEs are meant to facilitate program development and increase productivity, migrating developers might fall into a set of common pitfalls that could hinder productivity. Such pitfalls are indicated and discussed in the view of available IDE features

关键词： Java Productivity Writing Programming profession Education distributed processing Concurrent computing distributed computing Optimized production technology Psychology

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Attention-based Encoder-Decoder Recurrent Neural Networks for HTTP Payload Anomaly Detection

Attention-based Encoder-Decoder Recurrent Neural Networks fo...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Shang Wu Yijie Wang Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology

Attack payloads are often short segments hidden in HTTP requests; thus they can be found by HTTP payload anomaly detection. Deep learning models learn data features during training without manual feature extraction, and better performance has received more attention. Recurrent Neural Network models process sequences directly, which are widely used in payload anomaly detection. However, due to the gradient vanishing problem, RNN has limits on processing the long sequences. Meanwhile, RNN uses its final hidden state for detection and pays more attention to the content of the end of the payload. Besides, deep learning generally lacks interpretability. The paper proposes an unsupervised deep learning model for HTTP payload Anomaly Detection, namely Attention-based Encoder-Decoder Recurrent Neural Networks Anomaly Detection model (AEDRAD). AEDRAD utilizes the encoder-decoder RNN and attention mechanism to detect anomalies by reconstructing the original sequences. AEDRAD filters the fields of HTTP protocol that cannot exist anomalies, focusing on the suspicious segments. Through the encoder-decoder network, the normal payload can be well-reconstructed while the anomaly payload fails. With the attention mechanism, AEDRAD generates practical features for further anomaly detection from a global perspective. Meanwhile, it marks abnormal fragments visually, which is conducive to a subsequent analysis by experts. The experimental results show that AEDRAD significantly outperforms three state-of-the-art unsupervised algorithms on two real datasets.

关键词： Deep learning Training Recurrent neural networks Protocols Focusing Manuals Feature extraction

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Minimum Redundancy Gene Selection Based on Grey Relational Analysis

Minimum Redundancy Gene Selection Based on Grey Relational A...

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IEEE International Conference on Data Mining Workshops (ICDM Workshops)

作者： Li-juan Zhang Zhou-jun Li Huo-wang Chen Jian Wen National Laboratory for Parallel and Distributed Processing Changsha China School of Computer Science & Engineering Beihang University Beijing China

In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from these groups to avoid redundancy. A new gene similarity measure based on grey relational analysis (GRA), called grey relational grade (GRG), is used in clustering. Experiments on three public data sets demonstrate the effectiveness of our method

关键词： Gene expression Data analysis Laboratories distributed processing computer science Data engineering Signal to noise ratio Mutual information Data mining Conferences

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Automatic generation of fast BLAS3-GEMM: A portable compiler approach 17

Automatic generation of fast BLAS3-GEMM: A portable compiler...

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International Symposium on Code Generation and Optimization (CGO)

作者： Xing Su Xiangke Liao Jingling Xue College of Computer National Laboratory for Parallel and Distributed Processing Changsha China UNSW School of Computer Science and Engineering Sydney NSW Australia

ISBN: (纸本)9781509049318

GEMM is the main computational kernel in BLAS3. Its micro-kernel is either hand-crafted in assembly code or generated from C code by general-purpose compilers (guided by architecture-specific directives or auto-tuning). Therefore, either performance or portability suffers. We present a POrtable Compiler Approach, Poca, implemented in LLVM, to automatically generate and optimize this micro-kernel in an architecture-independent manner, without involving domain experts. The key insight is to leverage a wide range of architecture-specific abstractions already available in LLVM, by first generating a vectorized micro-kernel in the architecture-independent LLVM IR and then improving its performance by applying a series of domain-specific yet architecture-independent optimizations. The optimized micro-kernel drops easily in existing GEMM frameworks such as BLIS and OpenBLAS. Validation focuses on optimizing GEMM in double precision on two architectures. On Intel Sandybridge and AArch64 Cortex-A57, Poca's micro-kernels outperform expert-crafted assembly code by 2.35% and 7.54%, respectively, and both BLIS and OpenBLAS achieve competitive or better performance once their micro-kernels are replaced by Poca's.

关键词： Kernel Optimization computer architecture Linear algebra Libraries Programming Program processors

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Laser-driven inertial ion focusing

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Physical Review E 2009年第1期79卷 015401(R)-015401(R)页

作者： H. B. Zhuo Wei Yu M. Y. Yu H. Xu X. Wang B. F. Shen Z. M. Sheng J. Zhang National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha 410073 China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai 201800 China Institute for Fusion Theory and Simulation Zhejiang University Hangzhou 310027 China Institute for Theoretical Physics I Ruhr University Bochum D-44780 Germany Department of Physics Jiaotong University Shanghai 200240 China

A Hohlraum-like configuration is proposed for realizing a simple compact source for neutrons. A laser pulse enters a tiny thin-shelled hollow-sphere target through a small opening and is self-consistently trapped in the cavity. The electrons in the inner shell-wall region are expelled by the light pressure. The resulting space-charge field compresses the local ions into a thin layer that becomes strongly heated. An inward expansion of ions into the shell cavity then occurs, resulting in the formation at the cavity center of a hot spot of ions at high density and temperature, similar to that in inertial electrostatic confinement.

关键词： laser fusion neutron sources particle beam focusing ELECTROSTATIC CONFINEMENT FUSION DEVICE

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Design, Implementation and Evaluation of an Application-Layer Virtualized Network

Design, Implementation and Evaluation of an Application-Laye...

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2015 IEEE Symposium on Service-Oriented System Engineering

作者： Yiming Zhang Dongsheng Li Yijie Wang Zhigang Sun Feng Zhao Jinshu Su National University of Defense Technology Changsha Hunan CN School of Computer National Laboratory for Parallel and Distributed Processing (PDL) Changsha China

The performance of virtualized networks is critical to cloud applications. The "distributed line graphs" (DLG) are a universal technique for designing network topologies based on arbitrary regular graphs. In this paper we implement a prototype (C library) for a DLG-enabled network (called DLG-Kautz), as an application-layer virtualized network service. The effectiveness of our design and implementation is demonstrated through prototype evaluations.

关键词： Routing Message systems Ports (computers) Servers Payloads Prototypes Libraries

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Research on Online Failure Prediction Model and Status Pretreatment Method for Exascale System

Research on Online Failure Prediction Model and Status Pretr...

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International Conference on Cyber-Enabled distributed Computing and Knowledge Discovery, CyberC

作者： Hao Zhou Yanhuang Jiang National Laboratory of Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China

The reliability issue of Exascale system is extremely serious. Traditional passive fault-tolerant methods, such as rollback-recovery, can not fully guarantee system reliability any more because of their large executing overhead and long recovering duration. Active fault tolerance is expected to become another important fault-tolerant approach for Exascale system. Focusing on system failure prediction, which is one key step of active fault tolerance, we construct online failure prediction model and research on the effective method of system status pretreatment. In order to improve the accuracy and real-time feature of current methods, the proposed Improved Adaptive Semantic Filter (IASF) method processes the latest system logs regularly, filtering useless information out of them according to their semantics. Adopting the main idea of Vector Space Model (VSM), IASF method creates Event Vector corresponding to each log record. By calculating the cosine of vectorial angle, it evaluates the semantics correlation between different log records, and then executes temporal and spatial redundant filter considering the burst feature of log records. IASF method is insensitive to the type of system log and does not introduce any expert system or domain knowledge. The experiment result shows that system can eliminate about 99.6% of useless log records after executing IASF method.

关键词： Fault tolerance Fault tolerant systems Vectors Correlation Information filters Predictive models

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Creating Virtual Networks for distributed Virtual Computing Environment

Creating Virtual Networks for Distributed Virtual Computing ...

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International Conference on parallel and distributed Systems (ICPADS)

作者： Dongsheng Li Yixin Chen Feng Huang National Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha Hunan China

Virtual network is an important approach to support multiple legacy applications running unmodified in distributed virtual computing environments. A virtual networking approach called VirNet is proposed in this paper. VirNet can build multiple customized and isolated virtual networks simultaneously on the same physical hosts in the network, and it enables existing distributed applications written for LANs to run seamlessly on Internet. VirNet is designed completely in user space and requires no change to the kernel of operating systems. Experimental evaluation performed by a reference implementation shows that VirNet is efficient. The latency overhead caused by VirNet is very small and the bandwidth of VirNet is more than 85% of the available physical network bandwidth in both the LAN and emulated WAN environments.

关键词： computer networks distributed computing Bandwidth IP networks Kernel Operating systems Performance evaluation Delay Local area networks Wide area networks

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Compiler-Assisted Application-Level Checkpointing for MPI Programs

Compiler-Assisted Application-Level Checkpointing for MPI Pr...

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IEEE International Conference on distributed Computing Systems

作者： Xuejun Yang Panfeng Wang Hongyi Fu Yunfei Du Zhiyuan Wang Jia Jia National Laboratory for Parallel & Distributed Processing College of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781424431748

Application-level checkpointing can decrease the overhead of fault tolerance by minimizing the amount of checkpoint data. However this technique requires the programmer to manually choose the critical data that should be saved. In this paper, we firstly propose a live-variable analysis method for MPI programs. Then, we provide an optimization method of data saving for application-level check-pointing based on the analysis method. Based on the theoretical foundation, we implement a source-to-source pre-compiler (ALEC) to automate application-level checkpointing. Finally, we evaluate the performance of five FOR-TRAN/MPI programs which are transformed and integrated checkpointing features by ALEC on a 512-CPU cluster system. The experimental results show that i)the application-level checkpointing based on live-variable analysis for MPI programs can efficiently reduce the amount of checkpoint data, thereby decrease the overhead of checkpoint and restart;ii)ALEC is capable of automating application-level checkpointing correctly and effectively.

关键词： checkpointing message passing mannose phosphate isomerase remote procedure calls artificial lung expanding compound optimization method Checkpoints computer personnel Fault tolerance application layer

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