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IEEE International Conference on Computer science and Automation Engineering

作者： Zhang, Dongsong Chen, Fangyuan Jin, Shiyao National Laboratory of Parallel and Distributed Processing College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781424487257

As the energy consumption becomes increasingly prominent, how to meet time constraints while reducing the energy consumption as much as possible is a fundamental problem of the real-time scheduling in multi-core systems. Most of the existing energy-efficient scheduling approaches make assumptions on the properties of the scheduled tasks. In general, the properties of a task are unknown in advance until the task arrives. Thus, these approaches for deterministic tasks are not suitable to the general tasks. To schedule general tasks without prior knowledge of their properties, we propose an online and energy-efficient scheduling algorithm, based on Global Earliest Deadline First, for hard real-time tasks in multi-core processor platform. We propose a novel approach to decrease the execution frequency of tasks, and achieve a reasonable compromise between the time constraint and saved energy. This is ensured by utilizing the slack time of tasks and the dynamic voltage/frequency scaling techniques. The evaluation results show that our algorithm is well applied to the two types of dynamic voltage/frequency scaling techniques, and out-performs the Global EDF algorithm in terms of the saved energy. Specifically, our algorithm improves the saved energy of the Global EDF algorithm by at most 10% to 15% under real discrete dynamic voltage/frequency scaling levels. © 2011 IEEE.

关键词： Real time systems

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Data storage optimization of application-level checkpointing on heterogeneous systems

Data storage optimization of application-level checkpointing...

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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Jia, Jia Song, Wei National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781479916603

General purpose GPU's (GPGPU) appearance made it possible that heterogeneous computing can be used by human beings. And it's also produce a reform for GPU's general purpose computing and parallel computing. Heterogeneous Systems has been adopted by large-scale of high-performance computers. Nowadays, fault tolerance technique is necessary among these large-scale kinds of scientific computing, but in a few years of GPGPU and heterogeneous system appearance, there is not an effective fault tolerance method come out, therefore, towards this situation, this paper will apply the traditional fault tolerance technique - application-level checkpointing to heterogeneous system. Cause the main solution of reducing overhead of the application-level checkpointing is reducing checkpoint data size, so after analyzing the heterogeneous system and GPGPU program, we propose a method to optimize the data storage of application-level checkpointing technique and validate its optimization by experiments. © 2013 IEEE.

关键词： Fault tolerance

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Representation learning on textual network with personalized Page Rank

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science China(Information sciences) 2021年第11期64卷 95-104页

作者： Teng LI Yong DOU National Laboratory for Parallel and Distributed Processing National University of Defense Technology

Representation learning on textual network or textual network embedding, which leverages rich textual information associated with the network structure to learn low-dimensional embedding of vertices, has been useful in a variety of tasks. However, most approaches learn textual network embedding by using direct neighbors. In this paper, we employ a powerful and spatially localized operation: personalized Page Rank(PPR) to eliminate the restriction of using only the direct connection relationship. Also, we analyze the relationship between PPR and spectral-domain theory, which provides insight into the empirical performance boost. From the experiment, we discovered that the proposed method provides a great improvement in linkprediction tasks, when compared to existing methods, achieving a new state-of-the-art on several real-world benchmark datasets.

关键词： representation learning network embedding PageRank textual network personalized PageRank

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Feature preserving consolidation for unorganized point clouds

Feature preserving consolidation for unorganized point cloud...

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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Li, Bao Jiang, Wei Cheng, Zhiquan Dang, Gang Jin, Shiyao National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781424467860

We introduce a novel method for the consolidation of unorganized point clouds with noise, outliers, non-uniformities as well as sharp features. This method is feature preserving, in the sense that given an initial estimation of normal, it is able to recover the sharp features contained in the original geometric data which are usually contaminated during the acquisition. The key ingredient of our approach is a weighting term from normal space as an effective complement to the recently proposed consolidation techniques. Moreover, a normal mollification step is employed during the consolidation to get normal information respecting sharp features besides the position of each point. Experiments on both synthetic and real-world scanned models validate the ability of our approach in producing denoised, evenly distributed and feature preserving point clouds, which are preferred by most surface reconstruction methods. ©2010 IEEE.

关键词： Consolidation Feature preserving Point clouds Sharp features

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Evaluating the performance and accuracy impact of trace generation to the bigsim emulator

Evaluating the performance and accuracy impact of trace gene...

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10th IEEE International Conference on Computer and Information technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Che, Yonggang Xu, Chuanfu Lu, Pingjing National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769541082

This paper quantitatively studies the trace effects to the performance and accuracy of the BigSim Emulator, a scalable parallel emulator for large-scale computers. To assess the accuracy effect we modify the emulator code to collect the predicted computation time. Four MPI programs with different computation to communication ratios are used as benchmarks. The emulation time and the predicted computation time, both when trace generation are enabled and disabled, are collected on two parallel host machines. The results show that although the BigSim Emulator only traces communication events and dependencies, trace generation still evidently degrades the emulation performance for programs with high communication to computation ratios. Trace generation also significantly affects the accuracy of the predicted computation time for communication intensive programs, which is an issue that can not be overlooked. © 2010 IEEE.

关键词： BigSim emulator MPI programs digital simulation emulator code large scale computers message passing parallel host machines parallel programming performance evaluation scalable parallel emulator trace generation accuracy impact

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A two-phase mapping method for parallel applications simulation

A two-phase mapping method for parallel applications simulat...

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2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Fang, Jianbin Xu, Chuanfu Che, Yonggang Weng, Yufen Wang, Zhenghua National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781424445073

Efficient mapping of logical processes to physical processes is one of key technologies to accelerate parallel performance simulation. Aiming at minimizing the communications between SMP nodes and between host physical processes, this paper presents a novel method named TPsmp-LP3M. It automatically extracts communication pattern of logical processes from trace and then generates a two-phase mapping from logical processes to SMP clusters. Experimental results show that TPsmp-LP3M can outperform the regular mapping method by up to 20.2%. ©2009 IEEE.

关键词： Mapping

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Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network 21

Prediction of the Cyanobacteria Coverage in Time-series Imag...

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4th International Conference on Control and Computer Vision, ICCCV 2021

作者： Ye, Xiangyu Lai, Zhiquan Li, Dongsheng National Key Laboratory of Parallel and Distributed Processing Computer College National University of Defense Technology China

ISBN: (纸本)9781450390477

In recent years, the problem of lake eutrophication has become increasingly severe. The monitoring and control of cyanobacteria in lakes are of great significance. The information obtained by existing monitoring methods is relatively lagging, and it is impossible to monitor the sudden outbreak of cyanobacteria in time. Getting cyanobacteria information directly through camera images is a breakthrough. In this paper, after analyzing the characteristics of time series cyanobacteria images, we propose a block prediction scheme based on the CNN model. Experiments show that this method can quickly calculate the coverage of cyanobacteria in the monitoring image in a short time. It can also effectively distinguish cyanobacteria-rich water areas, which significantly facilitates water quality monitoring and cyanobacteria management. We can draw a chart of the changes in the coverage of cyanobacteria by analyzing multi-day time-series images. The chart helps us conduct a short-term water quality analysis to better deal with the outbreak of cyanobacteria. © 2021 ACM.

关键词： Lakes

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EdgeAnchor: A Rapid and Balanced File Storage Strategy at the Network Edge 29

EdgeAnchor: A Rapid and Balanced File Storage Strategy at th...

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29th IEEE International Conference on parallel and distributed Systems, ICPADS 2023

作者： Liu, Han Xie, Xingrui Zhang, Zhuopu Cheng, Geyao Luo, Lailong Guo, Deke National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory China National University of Defense Technology National Laboratory for Parallel and Distributed Processing China

ISBN: (纸本)9798350330717

Storing files at the network edge has become a new paradigm of storage systems, which is promising to mitigate network congestion and reduce file retrieval latency. However, the traditional file storage scheme cannot effectively meet the requirements of rapid indexing and load balance when applied directly to the edge. Moreover, due to the dynamic nature of the edge environment where edge servers can join or leave at will, it is necessary for the storage scheme to adjust with minimal disruption. In this paper, we propose EdgeAnchor, a novel edge storage strategy that is composed of the two-layer hash mappings. The first layer, file-to-bucket mapping, adopts the pseudo-deletion algorithm to deal with the variations in file size, while the second layer utilizes the multiple bucket-to-server mapping to adapt to the heterogeneity in the servers' storage capacities. Furthermore, EdgeAnchor constructs a list of deleted or added working sets for each bucket and creates a dictionary for the mappings between buckets and edge servers. In the manner, EdgeAnchor ensures a rapid file index and balances server load at the dynamic network edge. We also attach the mathematical analyses to EdgeAnchor, which theoretically proves its logarithmic complexity of hash operations and memory accesses. The experiments conducted on real-world datasets demonstrate that EdgeAnchor achieves the file index throughput twice as high as that of Consistent Hashing, under the constraints of load balance. Additionally, it ensures a low and stable data migration volume, when adding or removing edge servers consecutively. © 2023 IEEE.

关键词： dynamic network edge file storage load balance rapid indexing

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A control system architecture with cloud platform for multi-UAV surveillance 4

A control system architecture with cloud platform for multi-...

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4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018

作者： Hong, Chen Shi, Dianxi Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781538693803

Unmanned aerial vehicle is considered one of the most promising technologies. In the multi-UAV systems, a great challenge is to control multiple UAVs remotely by one person without being limited by distance. In this paper, to address this problem, we propose a control system architecture based on cloud platform which has been developed in order to allow multiple users to control and monitor multiple UAVs simultaneously irrespective of the location. Besides, the cloud platform acts as a remote brain for UAVs by providing extra storage and computing resources. This system architecture not only simplifies the development of control station, but also enhances the capabilities of unmanned system. © 2018 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Resource Allocation with Dynamic Substrate Network in Data Centre Networks

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China Communications 2013年第9期10卷 130-142页

作者：李小玲王怀民丁博李小勇刘惠 National Key Laboratory for Parallel and Distributed Processing School of Computer ScienceNational University of Defense Technology

The resource allocation problem in data centre networks refers to a map of the workloads provided by the cloud users/tenants to the Substrate Network(SN)which are provided by the cloud *** studies consider the dynamic arrival and departure of the workloads,while the dynamics of the substrate are *** this paper,we first propose the resource allocation with the dynamic SN,and denote it as ***,we propose an efficient mapping algorithm for *** performance of the proposed algorithm is evaluated by performing simulation *** results show that the proposed algorithm can effectively solve the GraphMap-DS.

关键词： resource allocation data centrenetwork workload substrate algorithm

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