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5th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2022

作者： Wang, Hao Feng, Dawei Ding, Bo Li, Wei College of Computer National University of Defense Technology Changsha Hunan China National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Independent Researcher GuangZhou China

ISBN: (纸本)9781450398343

Offline imitative learning(OIL) is often used to solve complex continuous decision-making tasks. For these tasks such as robot control, automatic driving and etc., it is either difficult to design an effective reward for learning or very expensive and time-consuming for agents to collect data interactively with the environment. However, the data used in previous OIL methods are all gathered by reinforcement learning algorithms guided by task-specific rewards, which is not a true reward-free premise and still suffers from the problem of designing an effective reward function in real tasks. To this end, we propose the reward-free exploratory data driven offline imitation learning (ExDOIL) framework. ExDOIL first trains an unsupervised reinforcement learning agent by interacting with the environment, and collects enough unsupervised exploration data during training;Then, a task independent yet simple and efficient reward function is used to relabel the collected data;Finally, an agent is trained to imitate the expert to complete the task through a conventional RL algorithm such as TD3. Extensive experiments on continuous control tasks demonstrate that the proposed framework can achieve better imitation performance(28% higher episode returns on average) comparing with previous SOTA method(ORIL) without any task-specific rewards. © 2022 ACM.

关键词： Reinforcement learning

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Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPUs 22nd

Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPU...

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22nd International Conference on Algorithms and Architectures for parallel processing, ICA3PP 2022

作者： Zhou, Tianyang Wang, Qinglin Yin, Shangfei Hao, Ruochen Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China School of Computer Science National University of Defense Technology Changsha410073 China

ISBN: (纸本)9783031226762

K-Means algorithm is one of the most common clustering algorithms widely applied in various data analysis applications. Yinyang K-Means algorithm is a popular enhanced K-Means algorithm that avoids most unnecessary calculations using triangle inequality. However, Yinyang K-Means algorithm is time-consuming when the problem size is large. Due to the influence of performance and energy-efficiency, ARM CPUs have appeared in high performance computing. Therefore, it is very interesting to accelerate Yinyang K-Means algorithm on ARM CPUs. In this paper, we propose an efficient parallel implementation of Yinyang K-Means algorithm on ARMv8 many-core CPUs by means of vectorization, NUMA affinity memory optimization and data layout optimization. The experiment on two ARMv8 many-core CPUs has shown that our implementation can achieve up to 5.6 times faster than the open-source multi-threaded one of Yinyang K-Means algorithm. To the best of our knowledge, this is the first work that studies the optimization of Yinyang K-Means algorithms on ARMv8 CPUs. © 2023, Springer Nature Switzerland AG.

关键词： K-means clustering

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Cloudroid: A cloud framework for transparent and QoS-aware robotic computation outsourcing

arXiv

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arXiv 2017年

作者： Hu, Ben Wang, Huaimin Zhang, Pengfei Ding, Bo Che, Huimin National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology 410073 China

Many robotic tasks require heavy computation, which can easily exceed the robot's onboard computer capability. A promising solution to address this challenge is outsourcing the computation to the cloud. However, exploiting the potential of cloud resources in robotic software is difficult, because it involves complex code modification and extensive (re)configuration procedures. Moreover, quality of service (QoS) such as timeliness, which is critical to robot's behavior, have to be considered. In this paper, we propose a transparent and QoS-aware software framework called Cloudroid for cloud robotic applications. This framework supports direct deployment of existing robotic software packages to the cloud, transparently transforming them into Internet-accessible cloud services. And with the automatically generated service stubs, robotic applications can outsource their computation to the cloud without any code modification. Furthermore, the robot and the cloud can cooperate to maintain the specific QoS property such as request response time, even in a highly dynamic and resource-competitive environment. We evaluated Cloudroid based on a group of typical robotic scenarios and a set of software packages widely adopted in real-world robot practices. Results show that robots capability can be enhanced significantly without code modification and specific QoS objectives can be guaranteed. In certain tasks, the"cloud + robot" setup shows improved performance in orders of magnitude compared with the robot native setup. Copyright © 2017, The Authors. All rights reserved.

关键词： Quality of service

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Jammer Localization for Wireless Sensor Networks

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Chinese Journal of Electronics 2023年第4期20卷 735-738页

作者： SUN Yanqiang WANG Xiaodong ZHOU Xingming National Key Laboratory for Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha China

Jamming attack can severely affect the performance of Wireless sensor networks (WSNs) due to the broadcast nature of wireless medium. In order to localize the source of the attacker, we in this paper propose a jammer localization algorithm named as Minimum-circle-covering based localization (MCCL). Comparing with the existing solutions that rely on the wireless propagation parameters, MCCL only depends on the location information of sensor nodes at the border of the jammed region. MCCL uses the plane geometry knowledge, especially the minimum circle covering technique, to form an approximate jammed region, and hence the center of the jammed region is treated as the estimated position of the jammer. Simulation results showed that MCCL is able to achieve higher accuracy than other existing solutions in terms of jammer's transmission range and sensitivity to nodes' density.

关键词： Location awareness Wireless communication Geometry Wireless sensor networks Sensitivity Simulation Jamming

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Investor: A Light-Weight Speculation Scheme for the Open Internet

Investor: A Light-Weight Speculation Scheme for the Open Int...

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2010 3rd International Conference on Computer and Electrical Engineering(ICCEE 2010)

作者： Huiba Li Shengyun Liu Yuxing Peng Xicheng Lu National Laboratory for Parallel and Distributed Processing National University of Defense Technology

Investor is a novel speculation scheme that targets at the open Internet. It makes use of standard HTTP and speculation by convention to fit into this environment. Investor is a runtime technique that doesn't modify the languages, compilers or binary formats of the applications, so it is compatible well with existing programs or libraries. Investor can overcome some form of control dependency and data dependency. Preliminary experiments show that Investor can significantly improve the overall performance of the applications.

关键词： Speculation, distributed Systems, Internet, HTTP

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Model checking UML statecharts

Model checking UML statecharts

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Asia-Pacific Conference on Software Engineering

作者： Wei Dong Ji Wang Xuan Qi Zhi-Chang Qi National Laboratory for Parallel and Distributed Processing Changsha Hunan China

ISBN: (纸本)0769514081

Unified Modeling Language (UML) has been widely used in software development. Verifying if an UML model meets the required properties has become a key issue. Model checking is an important technology of automatic formal verification to ensure the correctness of design specifications. An approach of model checking UML statecharts is given in this paper At first, the brief syntax and semantics of UML statecharts are described. Then, the way of how UML statecharts is structurally expressed by extended hierarchical automaton and the labeled transition system are defined. The correctness of operational semantics of UML statecharts can be ensured through finding the maximal non-conflict transition set. For the system with infinite runs, the operational semantics can be mapped to a Buchi automaton and linear temporal logic properties of the system can be verified based on the automata theory of model checking. The paper also presents the method of verifying complex system consist of multiple objects modeled by statecharts and collaboration diagram.

关键词： Unified modeling language Automata Power system modeling Concurrent computing Laboratories distributed processing Programming Formal verification Logic Collaboration

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A malicious code detection method based on statistical analysis

A malicious code detection method based on statistical analy...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

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

ISBN: (纸本)9781467300223

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. © 2012 IEEE.

关键词： Statistical methods

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An agent framework based on distributed object

An agent framework based on distributed object

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Technology of Object-Oriented Languages and Systems (TOOLS)

作者： Jian Zhou Minghui Zhou Quanyuan Wu National Laboratory for Parallel and Distributed Processing Changsha Hunan China

In the process of developing distributed applications, system reliability, availability, openness, resource sharing and reusability, etc. are very complex and difficult to solve. Recent research into agent theory has demonstrated that agent-oriented technology may be effective in handling these problems. The paper first discusses the relationships of distributed systems from an agent viewpoint, then presents an agent framework based on distributed objects which could be used to construct enterprise distributed applications. To enhance the openness and resource sharing in distributed systems, an agent communication language-KQML is introduced and implemented in the framework.

关键词： distributed computing Resource management Multiagent systems Reliability Availability Intelligent agent Containers Laboratories distributed processing Displays

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Tree-structured bloom filters for joint optimization of false positive probability and transmission bandwidth

Tree-structured bloom filters for joint optimization of fals...

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ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2015

作者： Fu, Yongquan Biersack, Ernst Science and Technology Laboratory of Parallel and Distributed Processing School of Computer National Univ. of Defense Technology China Www.e-biersack.eu France

ISBN: (纸本)9781450334860

Bloom filters are frequently used to perform set queries that test the existence of some items. However, Bloom filters face a dilemma: the transmission bandwidth and the accuracy cannot be optimized simultaneously. This dilemma is particularly severe for transmitting Bloom filters to remote nodes when the network bandwidth is limited. We propose a novel Bloom filter BloomTree that consists of a tree-structured organization of smaller Bloom filters, each one using a set of independent hash functions. BloomTree spreads items across levels that are compressed to reduce the transmission bandwidth need. We investigate in detail under which conditions BloomTree performs better than the compressed Bloom filter and the standard Bloom filter. © Copyright 2015 ACM.

关键词： Hash functions

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Pallas: An Application-Driven Task and Network Simulation Framework

Pallas: An Application-Driven Task and Network Simulation Fr...

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IEEE International Conference on Cluster Computing

作者： Yuming Ye Ziyang Li Dongsheng Li Yiming Zhang Feng Liu Yuxing Peng National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781467365994

With the help of simulation tools, users can evaluate new proposals in cluster environment efficiently. However, current cloud simulators cannot meet the needs of application-driven simulation scenarios. In this paper, we propose Pallas, a task and network simulation framework that supports various cloud applications. Task-aware network scheduling and network-perceived task placement algorithms can be easily implemented in Pallas. We present the architecture and main components of Pallas and evaluate its effectiveness by comparing algorithm improvements to the actual results.

关键词： Computational modeling Semantics Scheduling algorithms Clustering algorithms Yttrium Computer architecture

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