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作者： Hou, Fu Mao, Xinjun College of Computer National University of Defense Technology Changsha410073 China National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha410073 China

With the rapid development and application of cloud computing, there exist plenty of clouds that are distributed on the open Internet, decentralized in the management, evolving with various services providing diverse functionalities and QoS. Moreover, because of the potential correlativity of cloud services and the dynamic of tenants' requirements, these services in multiple clouds are expected to be effectively managed in an autonomic and transparent way so that tenants can obtain continuous and efficient services. To this end, this paper proposes an approach based on self-organizing multi-agent system to achieving cross-clouds services management, including the service provision at the tenant-end and services aggregation at the cloud-end. In this approach, the clouds services are managed by a series of autonomous agents that are capable of autonomously accessing managed services. They can interact with each other to obtain macro-level services aggregation in terms of self-organization to adapt to the changes of both tenants' requirements and cloud services. The paper details the architecture, mechanisms, and algorithms to implement the aggregation and provision of services in cross-clouds. We also develop relevant cross-clouds services management platform called as CCloudMan, with which several experiments based on the public data sets have been conducted and the experimental results show the efficiency and usability of our proposed approach. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

关键词： Multi agent systems

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[email protected]Derived Co–N–C Nanowire Network as an Advanced Reversible Oxygen Electrocatalyst for Rechargeable Zinc–Air Batteries

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ACS Applied Energy Materials 2018年第3期1卷 1060-1068页

作者： Rui Wang Jingyu Cao Shichang Cai Xuemin Yan Junsheng Li William M. Yourey Wei Tong Haolin Tang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 People’s Republic of China College of Chemistry and Environmental Engineering Yangtze University Jingzhou 434023 People’s Republic of China School of Chemistry Chemical Engineering and Life Sciences Wuhan University of Technology Wuhan 430070 People’s Republic of China Energy Storage and Distributed Resources Division Lawrence Berkeley National Laboratory Berkeley California 94720 United States College of Engineering Penn State University Hazleton Pennsylvania 18202 United States

Zn–air battery is a promising energy storage device because of its remarkably high energy density. However, development of affordable oxygen catalysts with high eletrocatalytic activity and excellent durability is of critical importance for the implementation of rechargeable Zn–air batteries. Here, we report a novel synthesis of three-dimensional (3D) Co–N–C nanowire network (NN) and its remarkable electrocatalytic performance as a bifunctional electrocatalyst in rechargeable Zn–air batteries. The carbon nanowire network was derived from cost-effective cellulose, with Co and N heteroatom doping achieved by annealing the self-assembled[email protected]cellulose under N2. As reported here, the best sample synthesized at 800 °C, referred to as 3D Co–N–C NN-800, demonstrated an oxygen reduction reaction (ORR) onset potential of 1.05 V and oxygen evolution reaction (OER) overpotential of 0.47 V (10 mA cm–2). As a result, a Zn–air battery assembled with 3D Co–N–C NN-800 demonstrates a small voltage gap of 0.8 V between charge and discharge and excellent durability, as evidenced by a minimal decay after 30 h operation (90 cycles, 15 mA cm–2). This study demonstrates a novel design strategy to enhance the electrcatalytic site and its homogeneity via the covalently bonded doping, which could be employed for the further development of bifunctional carbonaceous electrocatalysts.

关键词： Redox reactions Nanowires Electrocatalysts Cellulose Batteries

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Galaxyfly: A novel family of flexible-radix low-diameter topologies for large-scales interconnection networks 16

Galaxyfly: A novel family of flexible-radix low-diameter top...

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30th International Conference on Supercomputing, ICS 2016

作者： Lei, Fei Dong, Dezun Liao, Xiangke Su, Xing Li, Cunlu National Laboratory for Parallel and Distributed Processing Collaborative Innovation Center of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781450343619

Interconnection network plays an essential role in the architecture of large-scale high performance computing (HPC) systems. In the paper, we construct a novel family of lowdiameter topologies, Galaxyfly, using techniques of algebraic graphs over finite fields. Galaxyfly is guaranteed to retain a small constant diameter while achieving a flexible tradeoff between network scale and bisection bandwidth. Galaxyfly lowers the demands for high radix of network routers and is able to utilize routers with merely moderate radix to build exascale interconnection networks. We present effective congestion-aware routing algorithms for Galaxyfly by exploring its algebraic property. We conduct extensive simulations and analysis to evaluate the performance, cost and power consumption of Galaxyfly against state-of-the-art topologies. The results show that our design achieves better performance than most existing topologies under various routing algorithms and traffic patterns, and is cost-effective to deploy for exascale HPC systems. © 2016 ACM.

关键词： Topology

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Efficient semantic-aware coflow scheduling for data-parallel jobs

Efficient semantic-aware coflow scheduling for data-parallel...

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IEEE International Conference on Cluster Computing

作者： Ziyang Li Yiming Zhang Yunxiang Zhao Dongsheng Li National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781509036547

This paper studies the communication pattern of data-parallel applications from the perspective of job execution, and discovers multiple inter-coflow dependencies. These inter-coflow dependencies, collectively named as semantic flow (seflow), can expose job-level semantics. It is observed that most distributed computing frameworks describe their job execution as directed acyclic graphs (DAG). So a seflow comprises not only all the coflows of a job but also the DAG-based relationship between them. Seflow, coflow and flow can be viewed as the top-down abstractions for communication of jobs.

关键词： Semantics distributed computing Sparks Scheduling algorithms Scheduling Schedules

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Linearized alternating direction method of multipliers for constrained nonconvex regularized optimization 8

Linearized alternating direction method of multipliers for c...

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8th Asian Conference on Machine Learning, ACML 2016

作者： Qiao, Linbo Zhang, Bofeng Su, Jinshu Lu, Xicheng College of Computer National University of Defense Technology ChangSha410073 China National Laboratory for Parallel and Distributed Processing National University of Defense Tech-nology ChangSha410073 China

In this paper, we consider a wide class of constrained nonconvex regularized minimization problems, where the constraints are linearly constraints. It was reported in the litera- ture that nonconvex regularization usually yields a solution with more desirable sparse structural properties beyond convex ones. However, it is not easy to obtain the proximal mapping associated with nonconvex regularization, due to the imposed linearly constraints. In this paper, the optimization problem with linear constraints is solved by the Linearized Alternating Direction Method of Multipliers (LADMM). Moreover, we present a detailed convergence analysis of the LADMM algorithm for solving nonconvex compositely regular- ized optimization with a large class of nonconvex penalties. Experimental results on several real-world datasets validate the efficacy of the proposed algorithm. © 2016 L. Qiaoyz, B. Zhangy, J. Suyz & X. Luyz.

关键词： Constrained optimization

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80GBaud time division multiplexing optical transceiver

80GBaud time division multiplexing optical transceiver

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Integrated Photonics Research, Silicon and Nanophotonics, IPRSN 2016

作者： Zhang, Luo Mingche, Lai Zhengbin, Pang Liquan, Xiao Weixia, Xu School of Computer Science National University of Defense Technology Changsha410073 China Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha410073 China

High baud rate optical transceiver based on time division multiplexing technology is proposed. A communication channel at 80GBoud with 4 bit streams at 20Gbps is realized by 4-stage cascaded high speed switches with s... 详细信息

ISBN: (纸本)9781943580149

关键词： Photonics

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Efficient Multi-Tenant Virtual Machine Allocation in Cloud Data Centers

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Tsinghua Science and Technology 2015年第1期20卷 81-89页

作者： Jiaxin Li Dongsheng Li Yuming Ye Xicheng Lu the National Key Laboratory of Parallel and Distributed Processing (PDL) College of Computer National University of Defense Technology

Virtual Machine（VM） allocation for multiple tenants is an important and challenging problem to provide efficient infrastructure services in cloud data centers. Tenants run applications on their allocated VMs, and the network distance between a tenant＇s VMs may considerably impact the tenant＇s Quality of Service（Qo S）. In this study, we define and formulate the multi-tenant VM allocation problem in cloud data centers, considering the VM requirements of different tenants, and introducing the allocation goal of minimizing the sum of the VMs＇ network diameters of all tenants. Then, we propose a Layered Progressive resource allocation algorithm for multi-tenant cloud data centers based on the Multiple Knapsack Problem（LP-MKP）. The LP-MKP algorithm uses a multi-stage layered progressive method for multi-tenant VM allocation and efficiently handles unprocessed tenants at each stage. This reduces resource fragmentation in cloud data centers, decreases the differences in the Qo S among tenants, and improves tenants＇ overall Qo S in cloud data centers. We perform experiments to evaluate the LP-MKP algorithm and demonstrate that it can provide significant gains over other allocation algorithms.

关键词： virtual machine allocation cloud data center multiple tenants multiple knapsack problem

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ELM based Multiple Kernel k-means with Diversity-Induced Regularization

ELM based Multiple Kernel k-means with Diversity-Induced Reg...

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International Joint Conference on Neural Networks

作者： Yang Zhao Yong Dou Xinwang Liu Teng Li National University of Defense Technology National Laboratory for Parallel and Distributed Processing

ISBN: (纸本)9781509006212

Multiple-kernel k-means (MKKM) clustering has demonstrated good clustering performance by combining pre-specified kernels. In this paper, we argue that deep relationships within data and the complementary information among them can improve the performance of MKKM. To illustrate this idea, we propose a diversity-induced MKKM algorithm with extreme learning machine (ELM)-based feature extracting method. First, ELM, which has randomly chosen weights of hidden and output nodes, is applied to thoroughly extract features from data by generating different numbers of hidden nodes and using different functions. Second, an MKKM algorithm with diversity-induced regularization is utilized to explore the complementary information among kernels constructed from features. The problem could be solved efficiently by alternating optimization. Experimental results demonstrate that the proposed method outperforms state-of-the-art kernel methods.

关键词： Ecosystem models Elm Seeds Kernel output node Feature extraction Complementary Learning machines

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Dolphin:A Search Engine for OSS Based on Crowd Discussions across Communities

Dolphin:A Search Engine for OSS Based on Crowd Discussions a...

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2016 IEEE 7th International Conference on Software Engineering and Service Science

作者： Yun Zhan Gang Yin Tao Wang Cheng Yang Zhixing Li Huaimin Wang National Laboratory for Parallel and Distributed Processing National University of Defense Technology

The global open source software resources have become an Internet-scale repository,which provide abundant resources for software ***,how to locate the desired resource efficiently and accurately from such large amounts is quite a challenge *** of recent works barely focus on the semantic similarity by analyzing the software itself,which often result in inappropriate *** this paper,we propose Dolphin,a global OSS search engine,which leverage the crowd discussions around OSS across communities for optimizing software *** employs the crowd wisdom as an important factor and combines it with the semantic similarity to optimize search results *** implement an OSS search engine based on the proposed approach,which provides online service *** experiments and user studies suggest the effectiveness of our approach.

关键词： Software retrieval ranking community influence

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A validation of SonarQube issues related to real bugs based on open source software

A validation of SonarQube issues related to real bugs based ...

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2016联合国际信息技术、机械与电子工程国际会议

作者： Xiang Hou Yao Lu Yiang Gan Mengwen Chen Tao Wang Gang Yin National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781510830028

High reliability is an essential factor of modern software. At the same time, as software complexity is increasing day by day, bug counts and rate inevitably rises, leading to undermine software reliability. To avoid this problem, programmers always use issue-finding tools(bug detection) to discover the defects from source code in development of software. Recently, software inspection has been shown to be an effective way to speed up the process of source code verification and to move a portion of discovered defects from test to coding phase. As we know, modern software is often developed over many years. During this time, the commit metadata is becoming an important source of social characteristics. In this paper, our aim is to devise an empirical method to assess the percentage and the types of the issues found by issue finding tools are actual defects of the software.

关键词： Bug Detection Source Control System SonarQube Java Git

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