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On-orbit data mining technology for Earth observation image processing 69

On-orbit data mining technology for Earth observation image ...

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69th International Astronautical Congress: #InvolvingEveryone, IAC 2018

作者： Yu, Mengxi Xiao, Aimin Li, Nan Zhang, Jianquan Dong, Wenbo Yang, Junli Cheng, Mengzhe Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization Chinese Academy of Sciences Beijing100094 China Beijing University of Posts and Telecommunications Beijing100876 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

the high resolution earth observation satellite has developed rapidly, and the earth observation system has been developed from single-star mode to many small and medium satellites joint network. Full earth observation in twenty-four hours under all kinds of climate all around the earth has been realized. However, due to the limited bandwidth and energy resources, these data are not appropriate to be completely downloaded, and on-orbit image processing and data mining techniques are required. On one hand, redundant or invalid data can be removed to save limited bandwidth and energy, on the other hand, the on-orbit images are effectively processed in real time, and the intelligence and emergency response capabilities of earth observation system are enhanced. First, a high-performance computing architecture is established, and a high-performance computing platform based on Xilinx Zynq7000 series SoC chip and Nvidia Jetson TX2 series chip is designed to accomplish the on-orbit high-performance image processing with single point computing capacity of 2TFLOPS, storage capacity of 16Tb. Secondly, the image semantic segmentation on the TX2 hardware platform is realized by using the compressed lightweight deep neural network, and the classification of remote sensing image is achieved with accuracy 87% and 1 image per second prediction speed;On the basis of semantic segmentation, the semantic information of forest coverage and the number of houses is extracted. Finally, the image data retrieval technology is used to effectively organize and manage the images, complete the reception and response after receiving the ground commands, and transmit the effective data information to the ground in time. the verification system is further built to verify the rationality, availability and real-time aspects of the image data modeling and data mining platform, which lays the foundation for the future establishment and improvement of earth observation system. the systematic method propo

关键词： Classification (of information)

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Virtual testbed as a case for big data 8

Virtual testbed as a case for big data

引用

Selected Papers of the 8th International Conference "Distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Degtyarev, A.B. Bogdanov, A.V. Korkhov, V.V. Gankevich, I.G. Pylnev, Yu.V. Eibozhenko, A.V. Department of Computer Modeling and Multiprocessing Systems St. Petersburg State University 7/9 Universitetskaya Nab. St. Petersburg199034 Russia Engineering Company NEOTECH MARINE 23 Zastavskaya Str. St. Petersburg196084 Russia

Complex modeling of the behavior of marine objects under the influence of real external excitation is the most important problem At present, the accuracy of direct simulation of phenomena with knovvn physics is comparable to the accuracy of the results obtained during the model experiment in towing tanks. Particularly relevant is the creation of such marine virtual testbed for full-featured simulators and when testing the knowledge base of onboard intelligent systems. Such integrated environment is a complex information object that combines the features of both the enterprise system and the high-performance modeling tool. Integrated environment based on these basic principles is designed to solve in real time the following problems: 1. Collection and analysis of information on the current state of dynamic object (DO) and the environment, remote monitoring of the state of objects. 2. Evaluation and coordination of joint actions of DOs, proceeding from current conditions, with the aim of optimally common problem solving. 3. Centralized support for decision-making by operators of DO control in non-standard situations, organization of information support for the interaction of decisionmakers in the conduct of ongoing operations. 4. computer modeling of possible scenarios of situation development with the aim of selecting the optimal control strategy. 5. Centralized control of technical means. 6. Cataloging and accumulation of information in dynamic databases. Modern architecture of computer systems (especially GP GPU) allows direct full-featured simulation of a marine object in real time. Efficient mapping to a hybrid architecture allows even the ability to render ahead of time under various scenarios. the report discusses general concept of high-performance virtual testbed development and the experience of creating on their basis full-featured simulators. © 2018 AlexandrB. Degtyarev, Alexander V. Bogdanov, Vladimir V. Korkhov, Ivan G. Gankevich, Yury V. Pylnev, Anatoly

关键词： Decision making

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A Distributed architecture and Design Challenges of an Astray Pilgrim Tracking System

A Distributed Architecture and Design Challenges of an Astra...

引用

IEEE International symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Mohammad A. R. Abdeen The Department of Computer Sciecne The Islamic University of Madinah Almadinah Al-munawarah Saudi Arabia

ISBN: (纸本)9781538675199

In this paper we present a distributed architecture to address the problems of managing, tracking, and predicting astray person in large crowds. Our case study considers the pilgrimage to Mecca (Hajj) since it is the largest single annual gathering worldwide. the pilgrimage, lasts for five days and consists of visits to and overnight stays in holy sites in and around Mecca. the path and times of the visits are predetermined. the proposed architecture consists of a user side which is a wearable device that is battery powered and a centralized server side that has a database with the identity information and the geolocations of a pilgrim during the whole pilgrimage journey. the wearable device has a global positioning system (GPS) module that continuously reports the geolocation of the pilgrim to the centralized server. the server contains a map of the whole pilgrimage to correlate the current time and location to where the pilgrim is expected to be in space and time. this arrangement is used as the basis of prediction of the astray status. A list of astray pilgrims is maintained by the system and appropriate messages are sent to the authorities with the location and identity information of the pilgrim. the system also generates an alarm forecasting potential deviations from the prescribed sequence of events and visits to holy sites that could invalidate the pilgrimage. this work also shows a high-level design of the wearable device. the device employs a low-power consumption algorithm to extend battery life for the duration of the journey (at least five days). the server-side database is being implemented using the Neo4j graph database since it is our belief that it is more efficient and compact as compared to the relational database due to the number of joins required for astray prediction queries.

关键词： Global Positioning System Batteries Servers Power demand Databases Radiofrequency identification Systems architecture

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Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems

Incorporate Proactive Data Protection in ZFS Towards Reliabl...

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IEEE International symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Zhi Qiao Jacob Hochstetler Shuwen Liang Song Fu Hsing-bung Chen Bradley Settlemyer Department of Computer Science and Engineering University of North Texas High Performance Computing Division Los Alamos National Laboratory

ISBN: (纸本)9781538675199

Disk drive failure related data lost remains a major threat to storage system reliability. Current counter-measurement all focused on reactive data protection, such as using RAID or erasure coding to reconstruct data after failure occurs. We argue that post-failure recovery will not scalable when the storage demand keep increase. In this paper, we present a proactive data protection (PDP) framework within the ZFS file system to rescue data from disks before actual failure onset. By reducing the risk of data loss and mitigating the prolonged disk rebuilds caused by disk failures, PDP is designed to enhance the overall storage reliability. We extensively evaluate the recovery performance of ZFS with diverse configurations, and further explore disk failure prediction techniques to develop a proactive data protection mechanism in ZFS. We further compare the performance of different data protection strategies, including post-failure disk recovery, proactive disk cloning, and proactive data recovery. We propose an analytic model that uses storage utilization and contextual system information to select the best data protection strategy that can save up to 70% of data rescue time.

关键词： Data protection Reliability Disk drives Arrays Random access memory throughput Software

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Deep Learning with Non-parametric Regression Model for Traffic Flow Prediction

Deep Learning with Non-parametric Regression Model for Traff...

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IEEE International symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Muhammad Arif Guojun Wang Shuhong Chen School of Computer Science and Technology Guangzhou University Guangzhou China

ISBN: (纸本)9781538675199

Timely, effective, and accurate traffic movement prediction is highly important in developing and implementing the intelligent traffic prediction system. Given the overwhelming traffic in recent years, traffic data have been increasing as we enter the era of high traffic data. Existing traffic prediction methods use the traditional prediction models, which remain unsatisfactory for real-world applications. Sharp non-linearities, such as free flow, breakdown, recovery, and free congestion cause challenges in forecasting the traffic flow. this condition motivates us to reconsider the traffic forecast model based on the deep learning with the high traffic data. To predict non-linearities spatio-temporal effects, we have employed the deep learning technique with non-parametric regression. the first layer in the deep learning algorithm identifies spatio-temporal relationships between predictors and other non-linear relationships. the deep learning technique with non-parametric regression is significantly better compared with other models. Experimental results show that the proposed technique for the traffic flow forecast has a better-quality performance.

关键词： Predictive models Artificial neural networks Data models Mathematical model Real-time systems Detectors

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Effective Routing Algorithm Based on Software Defined Networking for Big Data Applications in Data Centre Network

Effective Routing Algorithm Based on Software Defined Networ...

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IEEE International symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Ali Khaleel Hamed Saffa Al-Raweshidy Department of Electronic and Computer Engineering Brunel University London London United Kingdom

ISBN: (纸本)9781538675199

in this paper, we discuss and identify the main traffic challenges of Hadoop jobs in data centre network (DCN). high volume of traffic is generated during the shuffle phase when the output data of mapper nodes is transferred to reducer nodes. this traffic requires efficient network resources to accelerate the shuffling phase of Hadoop jobs. Equal cost multipath algorithm (ECMP) is used in DCN to perform the routing process of flows to achieve high bandwidth utilization. However, the scheduling process of this algorithm is non-dynamic and lacks a global view of the entire network. Consequently, an effective scheduling and routing algorithm based on Software defined networking (SDN) is proposed to obtain efficient bandwidth utilization for each shuffling flow in DCN. By comparison with ECMP and TRILL (Transparent Interconnection of Lots of Links), the experimental results showed that our proposed algorithm can increase the bandwidth utilization of leaf-spine topology in DCN and provides dynamic scheduling and routing. It also can speed up the execution time of shuffling phase, which leads to improve the performance of Hadoop jobs.

关键词： Data centers Routing Network topology Topology Bandwidth Task analysis Big Data

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performance Evaluation of History-Based and Priority-Based MAC for Traffic-Differentiated Intra-Vehicular Network

Performance Evaluation of History-Based and Priority-Based M...

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IEEE International symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Ibnu Febry Kurniawan Md. Arafatur Rahman A. Taufiq Asyhari Md. Zakirul Alam Bhuiyan Department of Informatics Universitas Negeri Surabaya Indonesia IBM Center of Excellence Universiti Malaysia Pahang Gambang Kuantan Malaysia Centre for Electronic Warfare Information and Cyber Cranfield University Shrivenham UK Department of Computer and Information Sciences Fordham University USA

ISBN: (纸本)9781538675199

the increasing trend of wireless sensor communications in automotive Intra-Vehicular Network (IVN) has imposed a great pressure on wireless link capacity. this is particularly highlighted by a massive number of automotive sensor devices competing for the same transmission channel, which results in significant packet congestion and delay. As an effort to mitigate this situation, this paper presents a comparative performance study of two existing medium access control (MAC) strategies, namely history-based MAC and priority-based MAC, in handling the traffic growth in the IVN. History-based MAC utilizes latest successful transmission parameters for the current transmission attempt whereas Priority-based MAC regulates each node's communication timing. Our numerical simulation results demonstrate a trade-off between these two schemes in terms of packet queuing delay and delivery rate. the Priority-based scheme, in average, suffers from a high transmission delay due to prioritization, but achieves a high packet delivery rate. On the other hand, the History-based scheme attains a low queuing delay at the expense of less successful transmission attempts per unit time.

关键词： IEEE 802.15 Standard Delays Wireless sensor networks Wireless communication Media Access Protocol

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Heterogeneous Parallel and Distributed Optimization of K-means Algorithm on Sunway Supercomputer 15

Heterogeneous Parallel and Distributed Optimization of K-mea...

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15th IEEE International symposium on Parallel and Distributed Processing with Applications (ISPA) / 16th IEEE International Conference on Ubiquitous computing and Communications (IUCC)

作者： Chen, Jiawei Tan, Rong Zhang, Yiwen Washington Univ St Louis MO 63130 USA Cornell Univ Ithaca NY USA Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781538637906

Clustering plays an essential role in large-volume data analysis areas such as bioinformatics, statistic, pattern recognition and so on. K-means is one of most effective clustering algorithms, which is relatively easy to implement. Most real world applications usually involve a huge amount of data. thus, how to improve applications' efficiency while maintaining accuracy becomes a significant and considerable issue. In this paper, a K-means clustering algorithm, which uses heterogeneous parallel computing technology on computing processing elements and distributed computing technology, is proposed. this algorithm is applied in unique Sunway architecture based on "Sunway TaihuLight" Supercomputer-the world's fastest supercomputer with peak performance over 100PFLOPS. the testing results suggest that this improved algorithm is stable, fast and efficient. Conclusively, it has a great improvement in computation performance, especially with large volumes of data.

关键词： Clustering algorithms computer architecture Computational modeling Program processors Supercomputers Big Data Data models

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Is Intel high performance Analytics Toolkit a good alternative to Apache Spark? 16

Is Intel High Performance Analytics Toolkit a good alternati...

引用

IEEE 16th International symposium on Network computing and Applications (NCA)

作者： de Carvalho, Rafael Aquino Goldman, Alfredo Cavalheiro, Gerson Geraldo H. Univ Sao Paulo Inst Math & Stat IME Sao Paulo Brazil Univ Fed Pelotas UFPel Grad Program Comp Sci PPGC Pelotas Brazil

ISBN: (纸本)9781538614655

this paper compares the performance and stability of two Big Data processing tools: the Apache Spark and the high performance Analytics Toolkit (HPAT). the comparison was performed using two applications: a unidimensional vector sum and the K-means clustering algorithm. the experiments were performed in distributed and shared memory environments with different numbers and configurations of virtual machines. By analyzing the results we are able to conclude that HPAT has performance improvements in relation to Apache Spark in our case studies. We independently validated the results and potential presented by the HPAT developers. We also provide an analysis of both frameworks in the presence of failures.

关键词： performance comparison big data frameworks HPAT Apache Spark

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Design and Evaluation of AWGR-based Photonic NoC architectures for 2.5D Integrated high performance computing Systems 23

Design and Evaluation of AWGR-based Photonic NoC Architectur...

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23rd IEEE International symposium on high performance computer architecture (HPCA)

作者： Grani, Paolo Proietti, Roberto Akella, Venkatesh Ben Yoo, S. J. Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA

ISBN: (纸本)9781509049851

In future performance improvement of the basic building block of supercomputers has to come through increased integration enabled by 3D (vertical) and 2.5D (horizontal) die-stacking. But to take advantage of this integration we need an interconnection network between the memory and compute die that not only can provide an order of magnitude higher bandwidth but also consume an order of magnitude less power than today's state of the art electronic interconnects. We show how Arrayed Waveguide Grating Router-based photonic interconnects implemented on the silicon interposer can be used to realize a 16 x 16 photonic Network-on-Chip (NoC) with a bisection bandwidth of 16 Tb/s. We propose a baseline network, which consumes 2.57 pJ/bit assuming 100% utilization. We show that the power is dominated by the electro-optical interface of the transmitter, which can be reduced by a more aggressive design that improves the energy per bit to 0.454 pJ/bit at 100% utilization. Compared to recently proposed interposer-based electrical NoC's we show an average performance improvement of 25% on the PARSEC benchmark suite on a 64-core system using the Gem5 simulation framework.

关键词： Bandwidth Photonics Arrayed waveguide gratings Ports (computers) Multiprocessor interconnection Topology

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