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Beyond Green: Evolution to Adaptability and Recyclab.lity

Beyond Green: Evolution to Adaptability and Recyclability

IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Yuzhong Sun Ying Song Key Laboratory of Computer System and Architecture Chinese Academy of Sciences (CAS) Beijing China Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China Key Lab. of Comput. Syst. & Archit. Beijing China

In current social computing system, not only hardware but also software experiences a directly discarded mode. Such directly discarded mode may result in huge waste. The major challenge in green computing is the recyclab.lity of the computing system. In order to address this challenge in the software field, this paper proposes a design idea of green software embodying the adaptability and recyclab.lity. The adaptable and recyclab.e strategy may consist of two phases. The first one is compressing the increasingly deeper software stack, another one is keeping the functionality recycling and code reuse. The adaptability and recyclab.lity mean automatically decomposing the complex software into several parts which are ease to be reused and automatically selecting the feasible parts for the on-writing software. And we also explore the system software design path to adaptability and recyclab.lity in our previous work as well as in the future.

关键词： Hardware Green products Recycling Software design computers Complexity theory

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On-site determination of heavy metal in soil using electrochemical stripping analysis

On-site determination of heavy metal in soil using electroch...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2012

作者： Wang, Zhiqiang Gang, Liu Yang, Xiaojing Key Lab. of Modern Precision Agriculture System Integration Research China Agricultural University 17 Qinghua Donglu Beijing China China Agricultural University 17 Qinghua Donglu Beijing China College of Computer Science and Technology Shandong University of Technology 12 Zhangzhou Road Zibo China

ISBN: (纸本)9781622762088

Heavy metals are considered to be hazardous pollutants with toxic effects on plant and/or human health. Different techniques and methods (e.g., AAS, ICP-MS, ICP-OES) have been utilized for trace metals determination in the lab.ratory, but they are characterized by high costs, complex operation and long time consuming. The demand of rapid on-site screening and assessment of agricultural land contaminate induced by heavy metal is highly desirable. This paper reported a fast, inexpensive electrochemical analysis method for the simultaneous determination of cadmium (Cd) and lead (Pb) in soil samples. A simplified soil extraction procedure, using 0.11 molL-1 acetic acid and a 1 h ultrasonic agitation, had been used to fulfill the requirements of field-based screening usage. A disposable sensor, incorporating a three-electrode configuration (working electrode, reference electrode and counter electrode), had been fabricated by low cost screen-printing technology. The surface of graphite carbon working electrode was judiciously modified by multiwalled carbon nanotubes(MWCNTs)/Nafion/bismuth coating. Coupled with the portable electrochemical instrument, trace detection of heavy metal ions had been carried out by square wave anodic stripping voltammetry (SWASV) technique. The electrode exhibited good sensibility and stability in the electrochemical measurement. Linear responses were obtained in the range from 1 to 80 μgL-1 for both the metal ions at a preconcentration time of 180s, with detection limits of 0.5 μgL-1 for Cd(II) and 0.8 μgL -1 for Pb(II), respectively. The relative standard deviation is 1.9% and 2.3% for 20 μgL-1 each of Cd(II) and Pb(II). Soil samples were assayed by the proposed process and compared against standard ICP-MS analysis, the results showed good agreement between methods.

关键词： Soils

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PowerTracer: Tracing requests in multi-tier services to diagnose energy inefficiency 12

PowerTracer: Tracing requests in multi-tier services to diag...

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9th ACM International Conference on Autonomic Computing, ICAC'12

作者： Lu, Gang Zhan, Jianfeng Wang, Haining Yuan, Lin Weng, Chuliang State Key Lab. of Computer Sys. and Arch. Institute of Computing Tech. Chinese Academy of Sciences China College of William and Mary Williamsburg VA 23187 United States Institute of Computing Tech. Chinese Academy of Sciences China Advanced System Lab Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781450315203

As energy has become one of the key operating costs in running a data center and power waste commonly exists, it is essential to reduce energy inefficiency inside data centers. In this paper, we develop an innovative framework called PowerTracer, for diagnosing energy-inefficiency. Inside the framework, we first present a resource tracing method based on request tracing in multi-tier services of black boxes. Then, we propose a generalized methodology of applying a request tracing approach for energy-inefficiency diagnosis in multitier service systems. With insights into service performance and resource consumption of individual requests, we develop a bottleneck diagnosis tool that pinpoints the root causes of energy inefficiency. We implement the prototype and conduct experiments to validate its effectiveness. Copyright 2012 ACM.

关键词： Operating costs

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A computer-supported collab.rative learning platform based on clouds

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Journal of Computational Information systems 2011年第11期7卷 3811-3818页

作者： Li, Jiandun Peng, Junjie Zhang, Wu Han, Fangfang Yuan, Qin Joint Lab of Cloud Computing School of Computer Engineering and Science Shanghai University Shanghai 200072 China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

computer-supported collab.rative learning (CSCL) is an emerging branch of learning science concerned with studying how people can learn together with the help of computers. As an indispensable ingredient, computer mediation evolves through couples of phases, e.g. centralized server, peer-to-peer network, grid computing. Nevertheless, with daily rising trend on requirement's dynamic changes in service, existing models fall short to respond on demand. Thus, in this paper, by taking advantage of cloud computing, we propose a feasible CSCL platform and the experiments show that it can not only fulfill the basic requirement of CSCL, but also respond to learner's dynamic need on demand. Copyright © 2011 Binary Information Press.

关键词： Peer to peer networks

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A reconfigurable routing method for fault-tolerant mesh-based network on chip

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Journal of Information and Computational Science 2013年第1期10卷 157-165页

作者： Liu, Yanhua Ruan, Ying Lai, Zongsheng Sun, Ling Institute of Microelectronics Circuit and System East China Normal University Shanghai 200241 China Jiangsu Provincial Key Lab. of ASIC Design Nantong University Nantong 226019 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

As the semiconductor industry advances to nano-technology points, Network on Chip (NoC) components are becoming vulnerable to errors during the system operation. Consequently, fault-tolerant techniques for NoC are needed to achieve high reliability. In this paper, we present a fault-tolerant routing method to tolerate faulty routers in a two-dimension (2D) mesh-based NoC. With this method, the system can have a multi-router fault-tolerant capability and the routing path can be dynamically reconfigured to support different situations caused by faulty routers in NoC. Fault-tolerance capability and system performance of the proposed method are evaluated through analysis and simulations. Theoretical analysis and simulation results show that the proposed method can enhance the reliability of system and offer considerable fault-tolerance capability. © 2013 by Binary Information Press.

关键词： Network-on-chip

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Design and Realization of Cognitive Routing Resources Using Big Data Analysis in SDN

Design and Realization of Cognitive Routing Resources Using ...

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IEEE International Conference on Services Economics (SE)

作者： Hongyan Cui Yuchen Zhang Chenhang Ma Wei Lai Norman C. Beaulieu Stanislav Sobolevsky Yunjie Liu Key Lab of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing P. R. China MIT SENSEable City Laboratory State Key Lab. of Networking and Switching Technology

Future networks need to get knowledge of users' requirements by analyzing big data to achieve intelligence. OpenFlow is the first standard communications interface defined between the control and forwarding layers of a SDN architecture. So as to enhance network flexibility and availab.lity, this paper presents a network resource allocation scheme equipped with the ability of user preference awareness, by connecting a cloud platform of analyzing users' data. We use the Hadoop platform to predict the rate and type of the incoming flows and employ them to get the lightest burden link through the LARAC algorithm. It has been verified on the BUPT SDN test bed that this system is capable of allocating the network resources dynamically by predicting the network load in advance. The results show that the proposed methods achieve better load balance than previous networks.

关键词： Routing Resource management Prediction algorithms Databases Control systems Network topology Algorithm design and analysis

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WiFi Band-Stop FSS for Increased Privacy Protection in Smart Building

WiFi Band-Stop FSS for Increased Privacy Protection in Smart...

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The 6th International Symposium on Microwave,Antenna,Propagation,and Electromagnetic Compatibility Technologies(MAPE 2015)

作者： Xiong Xiong Weijun Hong Zhentao Zhao Li Deng Shufang Li College of Electronic and Information Engineering South China University of Technology Beijing Key Lab. of Network System Architecture and Convergence Beijing Univ. of Posts and Telecommunications

This paper proposes a periodic double ring strip frequency selective surface（FSS） with dual-band stop behavior. The FSS elements are designed to be etched on the transparent coating of glass substrate in smart buildings, which acts as a dualband notch filter on 2.45 GHz and 5.4GHz to avoid the leakage of WiF i signal outside the building. All the simulation parts are simulated by using High Frequency Structure Simulator（HFSS）. The proposed FSS possesses 450 MHz and 960 MHz bandwidth with insertion loss more than-10 dB around the two central operating frequencies 2.45 GHz and 5.45 GHz, respectively. Furthermore, the unit-cell structure provides a stable performance for both TE and TM polarizations with incident angles 0-60. A prototype of the proposed FSS is fabricated and measured. Good agreement between the simulated and measured results is obtained.

关键词： frequency selective surface dual-band polarization stability wireless local area network

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Smart integration of cloud computing and MCMC based secured WSN to monitor environment

Smart integration of cloud computing and MCMC based secured ...

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International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic systems Technology (Wireless VITAE)

作者： Muhammad R. Ahmed Hongyan Cui Xu Huang School of Information Technology and Engineering University of Canberra Canberra Australia Beijing Key Lab. of Network System Architecture and Convergence Beijing University of Posts and Telecommunications China

Wireless Sensor Network (WSN) is a low cost and multifunctional emerging technology. Its application ranges from military, health sector, environmental monitoring and industrial application. The maximum benefit of recent technology development can be achieved by integration internet (Cloud Computing) and secured real time data collection platform (secured-WSNs). In order to ensure its functionality especially in malicious environments, security mechanisms are essential in WSNs. Malicious or internal attacker has gained prominence and poses the most challenging attacks to WSN. So, for complete security internal attacks need to be handled. In this paper we proposed content-based publish/subscribe (pub/sub) broker model on the Cloud that integrates WSNs to Cloud efficiently and effectively. To secure WSNs we have proposed a new approach for detecting internal attack by using Markov Chain Monte Carlo (MCMC). It is an efficient real time algorithm. It is good for sensor network as it operates with no or incomplete classification information. Our result shows the output of the internal attacker evaluation.

关键词： Wireless sensor networks Markov processes Security Peer-to-peer computing Monte Carlo methods Cloud computing Monitoring

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AUV dead-reckoning navigation based on neural network using a single accelerometer 11

AUV dead-reckoning navigation based on neural network using ...

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11th ACM International Conference on Underwater Networks and systems, WUWNet 2016

作者： Xie, Yan-Xin Liu, Jun Hu, Cheng-Quan Cui, Jun-Hong Xu, Hongli State Key Laboratory of Robotics CAS No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University Changchun China Underwater Sensor Network Lab. University of Connecticut StorrsCT06269 United States Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

ISBN: (纸本)9781450346375

The accuracy of the Autonomous Underwater Vehicles (AUVs) navigation system determines whether they can safely operate and return. Traditional Dead-reckoning (DR) relies on the inertial sensors such as gyroscope and accelerometer. A major challenge for DR navigation is from measurement error of the inertial sensors (gyroscope, accelerometer, etc.), especially when the AUV is near or at the ocean surface. The AUV's motion is affected by ocean waves, and its pitch angle changes rapidly with the waves. This rapid change and the measurement errors will cause great noise to the direction measured by gyroscopes, and then lead to a large error to the DR navigation. To address this problem, a novel DR method based on neural network (DR-N) is proposed to explore the time-varying relationship between acceleration measurement and orientation measurement, which leverages acoustic localization and neural network estimate timely pitch angle through the explored time-varying relationship. This method enables AUV's DR navigation with a single acceleration, without relying on both acceleration and gyroscope. Most importantly, we can improve the accuracy of AUV navigation through avoiding DR errors caused by gyroscope noise at the sea surface. Simulations show DR-N significantly improves navigation accuracy.

关键词： Accelerometers

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A service-oriented priority-based resource scheduling scheme for virtualized utility computing 08

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Proceedings of the 15th international conference on High performance computing

作者： Ying Song Yaqiong Li Hui Wang Yufang Zhang Binquan Feng Hongyong Zang Yuzhong Sun Key Lab. of Computer System and Architecture Inst. of Computing Techn. Chinese Academy of Sciences China and National Research Center for Intelligent Computing Systems ICT China and Graduate Univ. of Chinese Academy of Sciences China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences China and National Research Center for Intelligent Computing Systems ICT China

ISBN: (纸本)9783540898931

In order to provide high resource utilization and QoS assurance inutility computing hosting concurrently various services, this paper proposes aservice computing framework-RAINBOW for VM(Virtual Machine)-basedutility computing. In RAINBOW, we present a priority-based resourcescheduling scheme including resource flowing algorithms (RFaVM) to optimizeresource allocations amongst services. The principle of RFaVM is preferentiallyensuring performance of some critical services by degrading of others to someextent when resource competition arises. Based on our prototype, we evaluateRAINBOW and RFaVM. The experimental results show that RAINBOWwithout RFaVM provides 28%-324% improvements in service performance,and 26% higher the average CPU utilization than traditional service computingframework (TSF) in typical enterprise environment. RAINBOW with RFaVMfurther improves performance by 25%-42% for those critical services whileonly introducing up to 7% performance degradation to others, with 2%-8%more improvements in resource utilization than RAINBOW without RFaVM.

关键词： resource scheduling utility computing virtualization

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