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2013 IEEE International Conference on Big Data, Big Data 2013

作者： Zhou, Runlin Shi, Yingjie Zhu, Chunge National Computer Network Emergency Response Technical Team Coordination Center of China Beijing China State Key Laboratory Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479912926

The rapid growth of data volume brings big challenges to the data center computing, and energy efficiency is one of the most concerned problems. Researchers from various fields are now proposing solutions to green the data center operations. Power usage effectiveness metric plays an important role in the energy saving research. However, the exising usage effectiveness metrics focus on measuring the relationship between the total facility energy consumed and the IT equipment energy consumed, without reflecting the energy efficiency of applications. In this paper, we analyze the requirements of application-level metrics for power usage efficiency of the data centers, and propose two novel energy efficiency metrics to provide strong guidance and useful insight to data center design and optimization. © 2013 IEEE.

关键词： Energy efficiency

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Multiple personal security domains

Multiple personal security domains

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2006 International Wireless Communications and Mobile Computing Conference, IWCMC 2006

作者： Matushima, Reinaldo Venturini, Yeda R. Sakuragui, Rony R. M. Carvalho, Tereza C. M. B. Ruggiero, Wilson V. Naslund, Mats Pourzandi, Makan Laboratory of Computer Architecture and Network PCS-EP University of São Paulo São Paulo Brazil Ericsson Research Stockholm Sweden Ericsson Research Open Systems Laboratory Mont-Royal Canada

ISBN: (纸本)1595933069

Mobility, usability and security are major requirements for any Ad Hoc network systems, and there have been numerous papers in regards to them. However, often these requirements are addressed separately. For a valid solution, these requirements must be considered from an integrated view. In this paper, taking into account mobility and usability, we implement a framework which allows to securely share resources and services between devices in Ad-hoc networks, based on security policies defined by the owners of those devices. In addition, we extend our framework to support inter-domain sharing of services and resources. We detail our design, present the preliminary results of our prototype, and discuss the lessons learned, in particular how user experience led to several re-designs of the initial security solution. Copyright 2006 ACM.

关键词： Ad hoc networks

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Research and implementation of CDP disaster recovery system based on oracle

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 325-336页

作者： Ren, Yongjian Ye, Jiaolong Zhang, Jilin Zhou, Li Wang, Jue Zhang, Lei School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China College of Electrical Engineering Zhejiang University Hangzhou China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

The OraCDP disaster recovery system uses CDP disaster recovery technology based on the combination of block level, combining with the communication coupling between the underlying I/O and Oracle database. The experimental results show that the OraCDP system can not only maintain the normal operation of the original system without any negative influence, but also guarantee the recovery of data and service at specific time quickly, fully and accurately. © 2015 SERSC.

关键词： Recovery

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An efficient storage technology for object-based distributed storage system

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 337-348页

作者： Zhang, Jilin Su, Yucheng Wan, Jian Zhou, Li Wang, Jue Zhang, Lei College of Electrical Engineering Zhejiang University Hangzhou China School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

There have two effective ways to improve the overall efficiency of the object-based distributed storage system, one is network caching technology and the other is metadata server cluster load balancing strategy. Under the heterogeneous storage environments, object-based distributed file system face the key challenge of lacking caching mechanism for the high-frequency access files, metadata server load imbalance also reduce the overall efficiency. To address these challenges, we discuss the design and implementation of an object-based distributed file storage caching system, and propose a weight-based metadata server cluster load balancing strategy. It effectively improve the metadata processing capacity. Based on the results, it demonstrated the feasibility and the efficiency of our methods. © 2015 SERSC.

关键词： Metadata

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The implications of diverse applications and scalable data sets in benchmarking big data systems

The implications of diverse applications and scalable data s...

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2nd Workshop on Specifying Big Data Benchmarks, WBDB 2012

作者： Jia, Zhen Zhou, Runlin Zhu, Chunge Wang, Lei Gao, Wanling Shi, Yingjie Zhan, Jianfeng Zhang, Lixin State Key Laboratory Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China National Computer Network Emergency Response Technical Team Coordination Center of China China

ISBN: (纸本)9783642539732

Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in short big data systems) is a hot topic. In this paper, we focus on measuring the performance impacts of diverse applications and scalable volumes of data sets on big data systems. For four typical data analysis applications - an important class of big data applications, we find two major results through experiments: first, the data scale has a significant impact on the performance of big data systems, so we must provide scalable volumes of data sets in big data benchmarks. Second, for the four applications, even all of them use the simple algorithms, the performance trends are different with increasing data scales, and hence we must consider not only variety of data sets but also variety of applications in benchmarking big data systems. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Benchmarking

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Spatial throughput characterization in cognitive radio networks with threshold-based opportunistic spectrum access

Spatial throughput characterization in cognitive radio netwo...

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作者： Song, Xiaoshi Yin, Changchuan Liu, Danpu Zhang, Rui Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Engineering National University of Singapore Singapore117576 Singapore

This paper studies the opportunistic spectrum access (OSA) of the secondary users in a large-scale overlay cognitive radio (CR) network. Two threshold-based OSA schemes, namely the primary receiver assisted (PRA) protocol and the primary transmitter assisted (PTA) protocol, are investigated. Under the PRA/PTA protocols, a secondary transmitter (ST) is allowed to access the spectrum only when the maximum signal power of the received beacons/pilots sent from the active primary receivers/transmitters (PRs/PTs) is lower than a certain threshold. To measure the resulting transmission opportunity for the secondary users by the proposed OSA protocols, the concept of spatial opportunity, which is defined as the probability that an arbitrary location in the primary network is detected as a spatial spectrum hole, is introduced and then evaluated by applying tools from stochastic geometry. Based on spatial opportunity, the coverage (non-outage transmission) performance in the overlay CR network is analyzed. With the obtained results of spatial opportunity and coverage probability, we finally characterize the spatial throughput, which is defined as the average spatial density of successful transmissions in the primary/secondary network, under the PRA and PTA protocols, respectively. © 1983-2012 IEEE.

关键词： Cognitive radio

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Research on I/Q unbalanced channel reciprocity calibration algorithm in massive MIMO system 3

Research on I/Q unbalanced channel reciprocity calibration a...

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3rd International Conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017

作者： Cui, Jinming Yin, Liang Ma, Yue Li, Shufang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China School of Computer Science Beijing University of Posts and Telecommunications Beijing100876 China

Massive MIMO system uses the transmitter channel state information (CSI) to preprocess the transmitted data, which can effectively reduce the interference and enhance the Massive MIMO system capacity. In the actual transmission process, reciprocity is subject to many factors, resulting in application difficulties. In this paper, we mainly study the influence of RF device's noncardiosis on channel reciprocity of Massive MIMO system. Combined with channel estimation based on pilot signal and FRRH subspace tracking algorithm, this paper proposes a channel reciprocity calibration method for Massive MIMO. Finally, the compensation effect of the compensation algorithm is verified by simulation. © The Authors, published by EDP Sciences, 2017.

关键词： MIMO systems

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Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection 7th

Block-gram: Mining Knowledgeable Features for Smart Contrac...

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7th International Conference on Smart Computing and Communication, SmartCom 2022

作者： Li, Tao Wang, Haolong Fang, Yaozheng Jian, Zhaolong Wang, Zichun Xie, Xueshuo Tianjin Key Laboratory of Network and Data Security Technology Tianjin China College of Computer Science Nankai University Tianjin China Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province Hangzhou China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783031281235

Effective vulnerability detection of large-scale smart contracts is critical because smart contract attacks frequently bring about tremendous economic loss. However, code analysis requiring traversal paths and learning methods requiring many features training is too time-consuming to detect large-scale on-chain contracts. This paper focuses on improving detection efficiency by reducing the dimension of the features, combined with expert knowledge. We propose a feature extraction method Block-gram to form low-dimensional knowledgeable features from the bytecode. We first separate the metadata and convert the runtime code to opcode sequence, dividing the opcode sequence into segments according to some instructions (jump, etc.). Then, we mine extensible Block-gram features for learning-based model training, consisting of 4-dimensional block features and 8-dimensional attribute features. We evaluate these knowledge-based features using seven state-of-the-art learning algorithms to show that the average detection latency speeds up 25 to 650 times, compared with the features extracted by N-gram. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart contract

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Parallelized Jaccard-Based Learning Method and MapReduce Implementation for Mobile Devices Recognition from Massive network Data

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China Communications 2013年第7期10卷 71-84页

作者：刘军李银周 Felix Cuadrado Steve Uhlig 雷振明 Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Department of Electronic Engineering and Computer Science Queen MaryUniversity of London

The ability of accurate and scalable mobile device recognition is critically important for mobile network operators and ISPs to understand their customers' behaviours and enhance their user *** this paper,we propose a novel method for mobile device model recognition by using statistical information derived from large amounts of mobile network traffic ***,we create a Jaccardbased coefficient measure method to identify a proper keyword representing each mobile device model from massive unstructured textual HTTP access *** handle the large amount of traffic data generated from large mobile networks,this method is designed as a set of parallel algorithms,and is implemented through the MapReduce framework which is a distributed parallel programming model with proven low-cost and high-efficiency *** using real data sets show that our method can accurately recognise mobile client models while meeting the scalability and producer-independency requirements of large mobile network *** show that a 91.5% accuracy rate is achieved for recognising mobile client models from 2 billion records,which is dramatically higher than existing solutions.

关键词： mobile device recognition data mining Jaccard coefficient measurement distributed computing MapReduce

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In-field testing of NAND flash storage: Why and how?

In-field testing of NAND flash storage: Why and how?

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2012 IEEE 21st Asian Test Symposium, ATS 2012

作者： Hu, Yu Gu, Xinli Li, Xiaowei State Key Laboratory of Computer Architecture Institute of Computing Technology CAS Beijing China North America Network Division Huawei Technologies Co. Ltd Santa Clara United States

ISBN: (纸本)9780769548760

NAND Flash memories have rapidly emerged as a storage class memory such as SSD, CF Card, SD Card. Due to its distinct operation mechanisms, NAND Flash memory suffers from erase/program endurance, data retention and program/read disturbance problems. In this work, we propose an in-field testing technique which takes some pages in a block as predictors. We will discuss the proposed technique in detail in the poster session. © 2012 IEEE.

关键词： NAND circuits

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