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CloudRank-D： benchmarking and ranking cloud computing systems for data processing applications

Frontiers of computer Science 2012年第4期6卷 347-362页

作者： Chunjie LUO Jianfeng ZHAN Zhen JIA Lei WANG Gang LU Lixin ZHANG Cheng-Zhong XU Ninghui SUN State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100019China Department of Electrical and Computer Engineering Wayne State UniversityDetroitM148202USA Shenzhenlnstitute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China

With the explosive growth of information, more and more organizations are deploying private cloud systems or renting public cloud systems to process big data. However, there is no existing benchmark suite for evaluating cloud performance on the whole system level. To the best of our knowledge, this paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing sys- tems that are shared for running big data applications. We an- alyze the limitations of previous metrics, e.g., floating point operations, for evaluating a cloud computing system, and propose two simple metrics： data processed per second and data processed per Joule as two complementary metrics for evaluating cloud computing systems. We detail the design of CloudRank-D that considers representative applications, di- versity of data characteristics, and dynamic behaviors of both applications and system software platforms. Through experi- ments, we demonstrate the advantages of our proposed met- tics. In several case studies, we evaluate two small-scale de- ployments of cloud computing systems using CloudRank-D.

关键词： data center systems clouds big data applica- tions benchmarks evaluation metrics

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Image matching algorithms in stereo vision using address-event- representation: A theoretical study and evaluation of the different algorithms

Image matching algorithms in stereo vision using address-eve...

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作者： Dominguez-Morales, M. Cerezuela-Escudero, E. Jimenez-Fernandez, A. Paz-Vicente, R. Font-Calvo, J.L. Iñigo-Blasco, P. Linares-Barranco, A. Jimenez-Moreno, G. Department of Architecture and Computer Technology University of Seville Seville Spain

ISBN: (纸本)9789898425720

Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted at a rate of 25-30 fps (typical real-time scenario). Digital video processing has to process each frame in order to obtain a filter result or detect a feature on the input. In stereo vision, existing algorithms use frames from two digital cameras and process them pixel by pixel until it is found a pattern match in a section of both stereo frames. Spike-based processing is a relatively new approach that implements the processing by manipulating spikes one by one at the time they are transmitted, like a human brain. The mammal nervous system is able to solve much more complex problems, such as visual recognition by manipulating neuron's spikes. The spike-based philosophy for visual information processing based on the neuro-inspired Address-Event- Representation (AER) is achieving nowadays very high performances. In this work we study the existing digital stereo matching algorithms and how do they work. After that, we propose an AER stereo matching algorithm using some of the principles shown in digital stereo methods.

关键词： Stereo vision

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Automatic conversion of legacy applications into services in BeesyCluster

Automatic conversion of legacy applications into services in...

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作者： Czamul, Pawel Kurylowicz, Jakub Department of Computer Architecture Gdansk University of Technology Gdansk Poland

ISBN: (纸本)9788360779026

The paper presents a solution and a tool for automatic, fast and easy adaptation of legacy Unix applications into services in BeesyCluster. The latter is a middleware that allows users to access distributed servers and clusters via WWW/Web services. Each BeesyCluster user can publish own applications as services and define access policies to such services to make them available to others. Such services can be composed into scientific or business workflows. To offer a wider selection of services, our solution retrieves information from Linux packages such as deb and rpm to automatically register applications as services in BeesyCluster making it a platform with a large registry containing thousands of services. Furthermore, we show a mechanism for searching for services based on a text query formulated by the user.

关键词： Middleware

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Workflow application for detection of unwanted events

Workflow application for detection of unwanted events

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作者： Czarnul, Pawel Kicior, Wojciech Department of Computer Architecture Gdansk University of Technology Gdansk Poland

ISBN: (纸本)9788360779026

The paper presents a workflow application aimed at detection of unwanted and potentially dangerous events observed by multimedia cameras installed at public facilities, such as universities. The detection of unwanted events launches alarms, causes notifications to be sent to respective forces and videos to be recorded. The proposed application model consists of several stages: nodes with camera(s) attached to them, node(s) for fetching data streams, node(s) for data processing and nodes used for notification and data storage. The already implemented testbed application fetches either a stream of data from a camera attached to a computer or reads a video file. The stream is decoded and data are processed by parallel processes on a cluster. The implemented testbed application detects a movement in the stream and can be applied for monitoring the university during the night.

关键词： Cameras

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Application-transparent integration of simulation tools in a WSN development environment

Application-transparent integration of simulation tools in a...

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作者： Font, Juan Luis Inigo, Pablo Domínguez, Manuel Sevillano, José Luis Cascado, Daniel Department of Computer Technology and Architecture University of Seville Seville Spain

ISBN: (纸本)9789898425690

The use of simulation tools in the development of new Wireless Sensor Networks protocols and applications should be accompanied by minimisation of redundant code and work, making it possible to seamlessly run the same code on simulated and real platforms. This work proposes an architecture for a WSN testing platform that integrates simulation tools in an application-transparent way. The platform will be focused on testing the WSN sink node and providing it with both real and simulated data. The novelty of this approach lies in the use of a flexible network simulation tool not focused on a specific network technology, and the use of generic hardware and open source tools.

关键词： Sensor nodes

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Study on Campus Wireless Mobile Model Based on AOC Modeling

Study on Campus Wireless Mobile Model Based on AOC Modeling

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2008 the IET 2ND International Conference on Wireless,Mobile & Multimedia Networks

作者： ZHAO Chun-xiao DING Ning GAO Lu WANG Li-jun Department of Computer Beijing University of Civil Engineering and Architecture The International WIC Institute Beijing University of Technology

ISBN: (纸本)9780863419256

With regard to the fundamental problem of the MANET routing protocols,this paper according to the campus mobile node behaviour,aims to establish a campus wireless mobile model based on AOC *** NS-2 simulation platform extensive simulate result and analysis of different mobile fashion which effect on the MANET routing protocol performance:in the aspect of Packet Delivery Ratio,DSR and AODV both surpass 95%,were not greatly affected by the changes of node mobile rate;DSDV and DSR closed to the Path Optimality.

关键词： Performance evaluating Autonomy Oriented Computation(AOC) Wireless Mobile Model MANET NS-2

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An Efficient Network-on-Chip Router for Dataflow architecture

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Journal of computer Science & technology 2017年第1期32卷 11-25页

作者： Xiao-Wei Shen Xiao-Chun Ye Xu Tan Da Wang Lunkai Zhang Wen-Ming Li Zhi-Min Zhang Dong-Rui Fan Ning-Hui Sun State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100049 China Department of Computer Science The University of Chicago IL 60637 U.S.A.

Dataflow architecture has shown its advantages in many high-performance computing cases. In dataflow computing, a large amount of data are frequently transferred among processing elements through the network-on-chip （NoC）. Thus the router design has a significant impact on the performance of dataflow architecture. Common routers are designed for control-flow multi-core architecture and we find they are not suitable for dataflow architecture. In this work, we analyze and extract the features of data transfers in NoCs of dataflow architecture： multiple destinations, high injection rate, and performance sensitive to delay. Based on the three features, we propose a novel and efficient NoC router for dataflow architecture. The proposed router supports multi-destination; thus it can transfer data with multiple destinations in a single transfer. Moreover, the router adopts output buffer to maximize throughput and adopts non-flit packets to minimize transfer delay. Experimental results show that the proposed router can improve the performance of dataflow architecture by 3.6x over a state-of-the-art router.

关键词： multi-destination router network-on-chip dataflow architecture high-performance computing

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Exploring Spatial Hybrid User Interface for Visual Sensemaking

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IEEE Transactions on Visualization and computer Graphics 2025年 PP卷 PP页

作者： Tong, Wai Li, Haobo Xia, Meng Kam-Kwai, Wong Pong, Ting-Chuen Qu, Huamin Yang, Yalong Nanchang University School of Mathematics and Computer Sciences Nanchang 330031 China Shenzhen University School of Architecture & Urban Planning Shenzhen 518060 China University of Calgary Department of Geomatics Engineering Calgary T2N 1N4 Canada Wuhan University School of Geodesy and Geomatics Wuhan 430079 China Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan 430079 China Finnish Geospatial Research Institute Department of Remote Sensing and Photogrammetry Masala 02430 Finland Wuhan University of Technology School of Safety Science and Emergency Management Wuhan 430079 China Nanjing University of Information Science & Technology School of Remote Sensing & Geomatics Engineering Nanjing 210000 China Nanjing Forestry University College of Civil Engineering Nanjing 210037 China Guangzhou Urban Planning & Design Survey Research Institute Guangzhou 51100 China

We built a spatial hybrid system that combines a personal computer (PC) and virtual reality (VR) for visual sensemaking, addressing limitations in both environments. Although VR offers immense potential for interactive data visualization (e.g., large display space and spatial navigation), it can also present challenges such as imprecise interactions and user fatigue. At the same time, a PC offers precise and familiar interactions but has limited display space and interaction modality. Therefore, we iteratively designed a spatial hybrid system (PC+VR) to complement these two environments by enabling seamless switching between PC and VR environments. To evaluate the system's effectiveness and user experience, we compared it to using a single computing environment (i.e., PC-only and VR-only). Our study results (N=18) showed that spatial PC+VR could combine the benefits of both devices to outperform user preference for VR-only without a negative impact on performance from device switching overhead. Finally, we discussed future design implications. © 1995-2012 IEEE.

关键词： Data visualization

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Prevention flow-control for low latency torus networks-on-chip 11

Prevention flow-control for low latency torus networks-on-ch...

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Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip

作者： Joshi, Arpit Mutyam, Madhu Computer Architecture and Systems Lab. Department of Computer Science and Engineering Indian Institute of Technology Madras India

ISBN: (纸本)9781450307208

The challenge for on-chip networks is to provide low latency communication in a very low power budget. To reduce the latency and keep the simplicity of a mesh network, torus network is proposed. As torus networks have inherent circular dependency, additional effort is needed to prevent deadlock, even if deadlock free routing algorithms are used. We describe a novel flow-control mechanism to address cost/performance constraints in torus networks and ensure freedom from deadlock. Flow-control is achieved using a prevention mechanism which uses virtual cut-through switching, and deadlock freedom is achieved by considering only a single packet buffer per input port. We can simplify the router design by having a simple switch allocator, which prioritizes in-flight packets, and a single packet buffer per input port, which eliminates the need for virtual channels. Experimental validation reveals that our design achieves significant improvement in throughput, as compared to the traditional design, using significantly fewer buffers. © 2011 ACM.

关键词： Flow control

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Applying mutual information for prototype or instance selection in regression problems

Applying mutual information for prototype or instance select...

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17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2009

作者： Guillen, A. Herrera, L.J. Rubio, G. Pomares, H. Lendasse, A. Rojas, I. University of Jaén Department of Informatics Spain University of Granada Department of Computer Technology and Architecture Spain Helsinki University of Technology Information and Computer Science Department Finland

ISBN: (纸本)2930307099

The problem of selecting the patterns to be learned by any model is usually not considered by the time of designing the concrete model but as a preprocessing step. Information theory provides a robust theoretical framework for performing input variable selection thanks to the concept of mutual information. Recently the computation of the mutual information for regression tasks has been proposed so this paper presents a new application of the concept of mutual information not to select the variables but to decide which prototypes should belong to the training data set in regression problems. The proposed methodology consists in deciding if a prototype should belong or not to the training set using as criteria the estimation of the mutual information between the variables. The novelty of the approach is to focus in prototype selection for regression problems instead of classification as the majority of the literature deals only with the last one. Other element that distinguishes this work from others is that it is not proposed as an outlier identificator but as an algorithm that determines the best subset of input vectors by the time of building a model to approximate it. As the experiment section shows, this new method is able to identify a high percentage of the real data set when it is applied to a highly distorted data sets.

关键词： Information theory

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