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2nd International Conference on Semantics, Knowledge, and Grid, SKG 2006

作者： Ren, Kaijun Xiao, Nong Song, Junqiang Zhang, Weimin Chen, Tao National Laboratory for Parallel and Distributed Processing NUDT Changsha Hunan 410073 China College of Science National University of Defense Technology Changsha Hunan 410073 China

ISBN: (纸本)076952673X

Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed. © 2006 IEEE.

关键词： Grid computing

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Delayed switch: Cloud service upgrade with low availability and capacity loss 5

Delayed switch: Cloud service upgrade with low availability ...

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2014 5th IEEE International Conference on Software Engineering and Service science, ICSESS 2014

作者： Ouyang, Xue Ding, Bo Wang, Huaimin Parallel and Distributed Laboratory School of Computer Science National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781479932788

Cloud services must upgrade continuously in order to maintain competitive. However, a large body of empirical evidence suggests that, upgrade procedures used in practice are failure-prone and often cause planned or unplanned downtime. In this paper, we first define what is cloud service online upgrade, and then we analyze the shortcomings of current mainstream cloud service online upgrade mechanisms. In particular, the mixed version problem along with rolling upgrade and the capacity loss problem brought by split mode upgrade have been discussed. After that, we propose a solution called Delayed Switch, which can conduct cloud service upgrade with lower loss of availability and capacity in contrast with existing approaches. We prove the performance of delayed switch in theory and develop a prototype system applying this method. And by conducting experiments with a typical e-commerce service named Rubis, we validate the effectiveness and efficiency of our approach. © 2014 IEEE.

关键词： distributed database systems

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ParTransgrid: A scalable parallel preprocessing tool for unstructured-grid cell-centered computational fluid dynamics applications

ParTransgrid: A scalable parallel preprocessing tool for uns...

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作者： Zhang, Jian Liu, Jie Zhou, Naichun Tang, Jing He, Xie Chen, Jianqiang Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China Computational Aerodynamics Institute China Aerodynamics Research and Development Center Mianyang China

The development of a basic scalable preprocessing tool is the key routine to accelerate the entire computational fluid dynamics (CFD) workflow toward the exascale computing era. In this work, a parallel preprocessing tool, called ParTransgrid, is developed to translate the general grid format like CFD General Notation System into an efficient distributed mesh data format for large-scale parallel computing. Through ParTransgrid, a flexible face-based parallel unstructured mesh data structure designed in Hierarchical Data Format can be obtained to support various cell-centered unstructured CFD solvers. The whole parallel preprocessing operations include parallel grid I/O, parallel mesh partition, and parallel mesh migration, which are linked together to resolve the run-time and memory consumption bottlenecks for increasingly large grid size problems. An inverted index search strategy combined with a multi-master-slave communication paradigm is proposed to improve the pairwise face matching efficiency and reduce the communication overhead when constructing the distributed sparse graph in the phase of parallel mesh partition. And we present a simplified owner update rule to fast the procedure of raw partition boundaries migration and the building of shared faces/nodes communication mapping list between new sub-meshes with an order of magnitude of speed-up. Experiment results reveal that ParTransgrid can be easily scaled to billion-level grid CFD applications, the preparation time for parallel computing with hundreds of thousands of cores is reduced to a few minutes. © 2021 John Wiley & Sons, Ltd.

关键词： Computational fluid dynamics

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DMSS: A dynamic memory scheduling system in server consolidation environments

DMSS: A dynamic memory scheduling system in server consolida...

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作者： Liu, Lanzheng Chu, Rui Zhu, Yongchun Zhang, Pengfei Wang, Liufeng National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China Systems and Technology Group IBM China Beijing China

ISBN: (纸本)9780769546698

As the foundation of cloud computing, Server consolidation allows multiple computer infrastructures running as virtual machines in a single physical node. It improves the utilization of most kinds of resource but memory under x86 architecture. Because of inaccurate memory usage estimate and the lack of memory resource management, there is much service performance degradation in data centers, even though they have occupied a large amount of memory. Furthermore, memory becomes insufficient for a physical server when a lot of virtual machines depend on it. In order to improve this, we present a dynamic memory scheduling system called DMSS, which can manage memory resources in server consolidation environments and allocate memory among virtual machines on demand. We have designed and implemented the corresponding memory scheduling policy based on Xen virtualization platform to enhance memory efficiency and achieve service level agreement. The benchmark shows that DMSS can make an accurate and rapid response to memory changes and save more than 30% physical memory with less than 5% performance degradation. DMSS actually brings in economic benefits to cloud service providers because more virtual machines can be accommodated at lower costs. © 2012 IEEE.

关键词： Virtual machine

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A relative coordinate based distributed sparse-preserving matrix factorization approach towards self-stabilizing network location service - Withdrawn

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IEEE Transactions on parallel and distributed Systems 2023年 1-1页

作者： Fu, Yongquan Wang, Yijie Pei, Xiaoqiang Li, Xiaoyong Science and Technology Laboratory of Parallel and Distributed Processing National University of Defense Technology China

Withdrawn. IEEE

关键词： Linear matrix inequalities

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An Energy Efficient Optimized Control Algorithm for Urban Rail Transit System 35

An Energy Efficient Optimized Control Algorithm for Urban Ra...

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第35届中国控制会议

作者： ZHANG Hongguang SONG Mengxiao ZHANG Minxuan College of Computer National University of Defense Technology College of Mechatronic Engineering and Automation National University of Defense Technology National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781509009107

The energy consumption of urban rail transit system involves train traction, air conditioning system, elevator, water supply and drainage equipment and so on, wherein the traction energy consumption accounts for more than 40% of the total energy consumption. With more concerning about low-carbon and environment protection, it has become a research hotspot that how to minimize the traction energy consumption during operation. Aiming at the optimized control of single train in complex line conditions, we design an algorithm based on recursion, by which we can obtain the most efficient control strategy with a set of constraints and effectively reduce the traction energy consumption. Meanwhile, we focus on the multiple-unit trains' cooperative control issue, and give the relevant solutions to improve the proportion of recovered renewable braking energy.

关键词： urban rail transit efficient algorithm recursion cooperative control

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A novel rough set approach for classification

A novel rough set approach for classification

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2006 IEEE International Conference on Granular Computing

作者： Zhang, Li-Juan Li, Zhou-Jun National Laboratory for Parallel and Distributed Processing Changsha 410073 China School of Computer Science and Engineering Beihang University Beijing 100083 China

ISBN: (纸本)1424401348

Rough set theory has been widely and successfully used in data mining, especially in classification field. But most existing rough set based classification approaches require computing optimal attribute reduction, which is usually intractable and many problems related to it have been shown to be NT-hard. Although approximate algorithms exist, they also tend to be computationally expensive. This paper presents a novel rough set method for classification, which does not require computing attribute reduction. It stepwise investigates condition attributes and outputs the classification rules induced by them, which is just like the strategy of "on the fly". The theoretical analysis and the empirical study show that the proposed method is effective and efficient. © 2006 IEEE.

关键词： Rough set theory

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Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Coordinate strip-mining and kernel fusion to lower power con...

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作者： Wang, Guibin National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9783981080179

Although general purpose GPUs have relatively high computing capacity, they also introduce high power consumption compared with general purpose CPUs. Therefore low-power techniques targeted for GPUs will be one of the most hot topics in the future. On the other hand, in several application domains, users are unwilling to sacrifice performance to save power. In this paper, we propose an effective kernel fusion method to reduce the power consumption for GPUs without performance loss. Different from executing multiple kernels serially, the proposed method fuses several kernels into one larger kernel. Owing to the fact that most consecutive kernels in an application have data dependency and could not be fused directly, we split large kernel into multiple slices with strip-mining method, then fuse independent sliced kernels into one kernel. Based on the CUDA programming model, we propose three different kernel fusion implementations, with each one targeting for a special case. Based on the different strip-ming methods, we also propose two fusion mechanisms, which are called invariant-slice fusion and variant-slice fusion. The latter one could be better adapted to the requirements of the kernels to be fused. The experimental results validate that the proposed kernel fusion method could effectively reduce the power consumption for GPU. © 2011 EDAA.

关键词： Electric power utilization

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SAWSDL service discovery based on Fine-Grained data semantics

SAWSDL service discovery based on Fine-Grained data semantic...

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作者： Wei, Dengping Wang, Ting Wang, Ji School of Computer National University of Defense Technology 410073 Changsha China National Laboratory for Parallel and Distributed Processing 410073 Changsha China

With the aim to improve the effectiveness of SAWSDL service discovery, this paper proposes a novel discovery method for SAWSDL services, which is based on the matchmaking of so-called finegrained data semantics that is defined via sets of atomic elements with built-in data types. The fine-grained data semantics can be obtained by a transformation algorithm that decomposes parameters at message level into a set of atomic elements, considering the characteristics of SAWSDL service structure and semantic annotations. Then, a matchmaking algorithm is proposed for the matching of fine-grained data semantics, which avoids the complex and expensive structural matching at the message level. The fine-grained data semantics is transparent to the specific data structure of message-level parameters, therefore, it can help to match successfully similar Web services with different data structures of parameters. Moreover, a comprehensive measure is proposed by considering together several important components of SAWSDL service descriptions at the same time. Finally, this method is evaluated on SAWSDL service discovery test collection SAWSDL-TC2 and compared with other SAWSDL matchmakers. The experimental results show that our method can improve the effectiveness of SAWSDL service discovery with low average query response time. The results imply that fine-grained parameters fit to represent the data semantics of SAWSDL services, especially when data structures of parameters are not important for semantics. © 2011 The Institute of Electronics, Information and Communication Engineers.

关键词： Data structures

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YOLOv5_CSL_F: YOLOv5's Loss Improvement and Attention Mechanism Application for Remote Sensing Image Object Detection 3

YOLOv5_CSL_F: YOLOv5's Loss Improvement and Attention Mechan...

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3rd International Conference on Wireless Communications and Smart Grid, ICWCSG 2021

作者： Wang, Junhua Xiao, Tao Gu, Qinyi Chen, Qian National University of Defense Technology Laboratory of Parallel and Distributed Processing Changsha China No.61646 Troop Department of Information Beijing China

ISBN: (纸本)9781665425988

With the continuous improvement of the resolution of satellite remote sensing images and aerial remote sensing images, more and more useful data and information are obtained from remote sensing images. At the same time, compared with ordinary images, remote sensing images have the characteristics of variable directions, unbalanced categories, complex backgrounds, and difficult detection of small objects. All of these make remote sensing image object detection very challenging. In this paper, based on the deep learning framework and the YOLOv5 object detection algorithm, according to the characteristics of remote sensing images, adopting Circular Smooth Label (CSL) [1] to calculate the loss of the rotating object detection bounding box and introducing the FcaNet [2] attention mechanism to design new feature fusion modules, we propose the remote sensing image object detection algorithm YOLOv5_CSL_F. We tested the algorithm model on the DOTA dataset. Compared with the detection performance of the original YOLOv5 algorithm, our algorithm improves the detection accuracy by 0.6%. © 2021 IEEE.

关键词： Object detection

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