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Performance tuning analysis of spatial operations on Spatial Hadoop cluster with SSD

Procedia Computer Science 2020年 167卷 2253-2266页

作者： Prafullata Auradkar Tejas Prashanth Suraj Aralihalli Sreeniketh Pradeep Kumar Dinkar Sitaram Center for Cloud Computing and Big Data Department of Computer Science and Engineering PES University Bangalore Karnataka India

Solid State Drives have shown promising results in improving the performance of MapReduce jobs. Previous work in the usage of SSD consisted of evaluation of its incorporation in Hadoop using benchmarking tests, such as WordCount, TeraGen, TeraSort and so on. It was empirically observed that the type of Map Reduce implementation, specifically the nature of the processing performed during the shuffle phase, has a major role in the overall outcome. This finding opens a plethora of possibilities of exploring the impact of storage media on spatial data processing in big data frameworks. Spatial big data frameworks, such as Spatial Hadoop, have been successfully used for several spatial operations, but the effect of SSD utilization in these operations is yet to be evaluated. This paper evaluates the feasibility of adopting SSD in a Spatial Hadoop cluster. The contributions presented are 1) Characterization of Spatial Hadoop jobs that would benefit from the usage of SSD. 2) Identification of the optimal mix of Solid State Drives and Hard Disk Drives for HDFS for each type of job. 3) Evaluation of cluster configuration parameters that influence the speed-up. The cluster exhibited a speed-up of up to 15% for I/O intensive spatial operations, while other compute-intensive operations could not harness a similar gain.

关键词： Spatial Hadoop Solid State Drives Performance analysis Global indexes Computational geometry

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QKDFlow: QKD based secure communication towards the openflow interface in SDN 4th

QKDFlow: QKD based secure communication towards the openflow...

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4th International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2016

作者： Peng, Yan Wu, Chunqing Zhao, Baokang Yu, Wanrong Liu, Bo Qiao, Shasha College of Computer National University of Defense Technology Changsha410073 China Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic Technology Guilin541004 China PLA 75833 UNIT Pudong China

ISBN: (纸本)9789811039683

Software Defined Networks (SDN) decouples control plane and data plane, which simplifies network management. However, there are still some security threats which limit the large scale deployment of SDN. In this paper, we present a solution which integrates Quantum Key Distribution (QKD) technology with SDN in the southbound interface to fulfill secure communication between controller and switches. Rather than merely employ Transport Level Security (TLS) protocol in OpenFlow standard, the proposed scheme can prevent the Man-In-The-Middle (MITM) attack. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Quantum cryptography

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Design of Bare Metal Network Architecture Based on Smart NIC 6

Design of Bare Metal Network Architecture Based on Smart NIC

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6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022

作者： Liu, Chuanhui Wang, Peihui Zhang, Yuan Zhang, Zhaozeng National Supercomputing Center in Zhengzhou Zhengzhou University Zhengzhou China Cloud Computing Department Zhengzhou Inspur Data Technology Co. Zhengzhou China

ISBN: (纸本)9781450397148

Currently, traditional virtualized servers in the cloud computing space suffer from excessive network stack overhead and insufficient CPU resources available for virtual machines. The article proposes a bare metal network architecture design based on smart NICs, by which carrying traffic loads and implements virtual NIC transmissions through Virtio technology to provide a data communication path from bare metal servers to smart NICs. Furthermore, OVS and DPDK technologies are used inside the smart NIC to offload the control forwarding process of network messages, which makes the smart NIC handle traffic data directly and greatly shorten the forwarding path of messages. Through experimental verification, this bare-metal network architecture can significantly reduce the utilization of network services on the server CPU and provide resiliency for the bare-metal server, further enhancing the overall performance of the system. © 2022 Association for computing Machinery.

关键词： Network architecture

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Energy efficient data center management under availability constraints

Energy efficient data center management under availability c...

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Annual IEEE Systems Conference

作者： Dinkar Sitaram H.L. Phalachandra Gautham S Swathi H V Sagar TP Dept. CSE PES University Center for Cloud Computing and Big Data Bangalore India Center for Cloud Computing and Big Data Dept. CSE PES University Bangalore India

Due to increasing power consumption and cost, data center energy conservation has become increasingly important. As a result, a number of algorithms for optimizing compute, storage, and networking have been devised. However, these algorithms focus on job distribution based upon optimizing energy efficiency, and do not take availability into consideration. For example, if there are 3 servers, allocating workloads based only upon energy efficiency may result in consolidation of the workload into only 1 server, resulting in a single point of failure. This paper outlines the importance of availability and designs a hill climbing algorithm to prevent failure zone failure and hence also reduce the energy consumption by the datacenter.

关键词： Servers Algorithm design and analysis Resource management Redundancy Gravity Hardware Energy efficiency

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Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model

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Plant Phenomics 2023年第3期5卷 501-519页

作者： Qianding Huang Xingcai Wu Qi Wang Xinyu Dong Yongbin Qin Xue Wu Yangyang Gao Gefei Hao State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China Text Computing&Cognitive Intelligence Engineering Research Center of National Education Ministry Guizhou UniversityGuiyang 550025China National Key Laboratory of Green Pesticide Guizhou UniversityGuiyang 550025China

Plant disease diagnosis in time can inhibit the spread of the disease and prevent a large-scale drop in production,which benefits food *** detection-based plant disease diagnosis methods have attracted widespread attention due to their accuracy in classifying and locating ***,existing methods are still limited to single crop disease *** importantly,the existing model has a large number of parameters,which is not conducive to deploying it to agricultural mobile ***,reducing the number of model parameters tends to cause a decrease in model *** solve these problems,we propose a plant disease detection method based on knowledge distillation to achieve a lightweight and efficient diagnosis of multiple diseases across multiple *** detail,we design 2 strategies to build 4 different lightweight models as student models:the YOLOR-Light-v1,YOLOR-Light-v2,Mobile-YOLOR-v1,and Mobile-YOLOR-v2 models,and adopt the YOLOR model as the teacher *** develop a multistage knowledge distillation method to improve lightweight model performance,achieving 60.4%mAP@.5 in the PlantDoc dataset with small model parameters,outperforming existing ***,the multistage knowledge distillation technique can make the model lighter while maintaining high *** only that,the technique can be extended to other tasks,such as image classification and image segmentation,to obtain automated plant disease diagnostic models with a wider range of lightweight applicability in smart *** code is available at https://***/QDH/MSKD.

关键词： Plant diagnosis image

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Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition 30

Correcting Pronoun Homophones with Subtle Semantics in Chine...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Zhang, Zhaobo Gan, Rui Yuan, Pingpeng Jin, Hai National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Laboratory Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9782493814104

Speech recognition is becoming prevalent in daily life. However, due to the similar semantic context of the entities and the overlap of Chinese pronunciation, the pronoun homophone, especially "他/她/它 (he/she/it)", (their pronunciation is "Tā") is usually recognized incorrectly. It poses a challenge to automatically correct them during the post-processing of Chinese speech recognition. In this paper, we propose three models to address the common confusion issues in this domain, tailored to various application scenarios. We implement the language model, the LSTM model with semantic features, and the rule-based assisted Ngram model, enabling our models to adapt to a wide range of requirements, from high-precision to low-resource offline devices. The extensive experiments show that our models achieve the highest recognition rate for "Tā" correction with improvements from 70% in the popular voice input methods up to 90%. Further ablation analysis underscores the effectiveness of our models in enhancing recognition accuracy. Therefore, our models improve the overall experience of Chinese speech recognition of "Tā" and reduce the burden of manual transcription corrections. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Speech recognition

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A Reduced State Space Generation Method for Concurrent Systems Based on CPN-PR Model

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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2024年第6期44卷 2328-2342页

作者： Zhong, Wenjie Sun, Tao Zhou, Jian-Tao Wang, Zhuowei Song, Xiaoyu Inner Mongolia Engineering Laboratory for Big Data Analysis Technology College of Computer Science Inner Mongolia University Engineering Research Center of Ecological Big Data Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Hohhot010000 China Guangdong University of Technology School of Computer Science and Technology Guangzhou China Portland State University Department of Electrical and Computer Engineering PortlandOR97207 United States

Colored Petri Nets (CPNs) provide descriptions of the concurrent behaviors for software and hardware. Model checking based on CPNs is an effective method to simulate and verify the concurrent behavior in system design. However, the model checking method traverses the full state space, which suffers from the state space explosion problem. A reduced state space generation method related to the property of concurrent systems is proposed. Specifically, we extend CPNs to define a property-related model (CPN-PR) and give a property-related analysis method whose results can be used to generate the CPN-PR model. A reduced state space generation method is developed based on enabled binding element filtering rules. The stutter trace equivalence between the state spaces of CPN and CPN-PR has been proven by showing that the reduced state space may not change the model checking result. A comparison experiment is conducted to demonstrate the effectiveness of our method. © 1982-2012 IEEE.

关键词： Model checking

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Revocable and certificateless public auditing for cloud storage

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Science China(Information Sciences) 2020年第10期63卷 282-284页

作者： Yinghui ZHANG Tiantian ZHANG Shengmin XU Guowen XU Dong ZHENG School of Cyberspace Security Xi'an University of Posts and Telecommunications Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic Technology National Engineering Laboratory for Wireless Security Xi'an University of Posts and Telecommunications Secure Mobile Centre School of Information SystemsSingapore Management University School of Computer Science and Engineering University of Electronic Science and Technology of China

Dear editor,Plenty of computing and storage resources in the cloud are provided for users with restricted computing and storage resources,which has attracted the attention of many researchers[1,2].A generic blockchain-based cloud data auditing scheme[3] is proposed,which is compatible with any blockchains including the bitcoin *** the data integrity checking scheme,certificate-

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A Graph Sequence Generator and Multi-head Self-attention Mechanism based Knowledge Graph Reasoning Architecture 26

A Graph Sequence Generator and Multi-head Self-attention Mec...

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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Wu, Yuejia Zhou, Jian-Tao College of Computer Science Inner Mongolia University Hohhot China National & Local Joint Engineering Research Center Intelligent Info. Proc. Technology for Mongolian Engineering Research Center of Ecological Big Data Ministry of Education Hohhot China Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Key Laboratory of Social Computing and Data Processing Hohhot China Inner Mongolia Key Laboratory of Discipline Inspection and Supervision Big Data Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Hohhot China

ISBN: (纸本)9798350331684

Knowledge Graph (KG) is an essential research direction that involves storing and managing knowledge data, but its incompleteness and sparsity hinder its development in various applications. Knowledge Graph Reasoning (KGR) is an effective method to solve this limitation via reasoning missing knowledge based on existing knowledge. The graph Convolution Network (GCN) based method is one of the state-of-the-art approaches to this work. However, there are still some problems, such as the insufficient ability to perceive graph structure and the poor effect of learning data features which may limit the reasoning accuracy. This paper proposes a KGR architecture based on a graph sequence generator and multi-head self-attention mechanism, named GaM-KGR, to improve the above problems and enhance prediction accuracy. Specifically, the GaM-KGR first introduces the graph generation model into the field of KGR for graph representation learning to obtain the hidden features in the data so that enhancing the reasoning effect and then embeds the generated graph sequence into the multi-head self-attention mechanism for subsequent processing to improve the graph structure perception ability of the proposed architecture, so that it can process the graph structure data more appropriately. Extensive experimental results show that the GaM-KGR architecture can achieve the state-of-the-art prediction results of current GCN-based models. © 2023 IEEE.

关键词： Knowledge graph

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Cache Characterization of Workloads in a Microservice Environment

Cache Characterization of Workloads in a Microservice Enviro...

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IEEE International Conference on cloud computing in Emerging Markets (CCEM)

作者： Sanjith Athlur Nishant Sondhi Sachit Batra Subramaniam Kalambur Dinkar Sitaram Department of Computer Science Center for Cloud Computing and Big Data PES University Bengaluru

ISBN: (数字)9781728163345

ISBN: (纸本)9781728163352

The advent of Microservice based architecture has lead to the obsolescence of the tedious way of building and deploying applications in a monolithic way. The number of organizations taking advantage of cloud computation and microservice architecture is steadily increasing. From the cloud providers perspective, the purpose of cloud computation is to leverage economies of scale by co-locating several workloads dynamically on the same powerful many-core servers. In this paper, we attempt to characterize cache usage and its impact on performance when multiple workloads are collocated on multicore servers.

关键词： Servers Interference cloud computing Benchmark testing Hardware Multicore processing

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