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Automatic Detecting Performance Bugs in Cloud Computing Systems via Learning Latency Specification Model

Automatic Detecting Performance Bugs in Cloud Computing Syst...

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8th ieee International symposium on Service Oriented System Engineering (SOSE)

作者： Mi, Haibo Wang, Huaimin Chen, Zhenbang Zhou, Yangfan Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha Peoples R China Chinese Univ Hong Kong Shenzhen Res Inst Hong Kong Peoples R China

ISBN: (纸本)9781479936168

Performance bugs that don't cause fail-stop errors but degradation of system performance have been one of the most fundamental issues in the production platform. How to effectively online detect bugs becomes more and more urgent for engineers. Performance bugs usually manifest themselves as the anomalous call structures of request traces or anomalous latencies of invoked methods. In this paper, we propose an automatic performance bug online detecting approach, CloudDoc. CloudDoc maintains a performance model mined from execution traces that are collected in the normal period. the performance model captures the characteristics of call structures of request traces together with corresponding latencies. With the performance model, CloudDoc periodically detects whether performance bugs occur or not. All suspicious call structures or latency-abnormal invoked methods are presented to engineers. We report two case studies to demonstrate the effectiveness of CloudDoc in helping engineers identify performance bugs.

关键词： bugs Bugs System performance PERFORMANCE MODELING PRODUCTION PLATFORM Engineers Cloud Computing

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High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters 28

High-Performance Zonal Histogramming on Large-Scale Geospati...

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28th ieee International parallel & distributed processing symposium Workshops (IPDPSW)

作者： Zhang, Jianting Wang, Dali CUNY City Coll Dept Comp Sci New York NY 10031 USA Oak Ridge Natl Lab Environm Sci Div Oak Ridge TN USA

ISBN: (纸本)9781479941162

Hardware Accelerators are playing increasingly important roles in achieving desired performance from desktop to cluster computing. While General Purpose computing on Graphics processing Units (GPGPU) technologies have been widely applied to computing intensive applications, there is relatively little work on using GPUs and GPU-accelerated clusters for data intensive computing that typically involves significant irregular data accesses. In this study, we report our designs and implementations of a popular geospatial operation called Zonal Histogramming on Nvidia GPUs. Given a zonal dataset in the form of a collection of polygons and a geospatial raster that can be considered as a 2D grid, for each polygon, Zonal Histogramming computes a histogram of the values of raster cells that fall within the polygon. Our experiments on 3000+ US counties (polygons) over 20+ billion NASA Shuttle Radar Topography Mission (SRTM) 30 meter resolution Digital Elevation Model (DEM) raster cells have shown that, an impressive 46 seconds end-to-end runtime can be achieved using a single Nvidia GTX Titan GPU device. the runtime is further reduced to similar to 10 seconds using 8 nodes on ORNL's Titan GPU-accelerated cluster. the desired high performance opens many possibilities for large-scale geospatial computing that is important for environmental and climate research.

关键词： Zonal Histogramming Geospatial Rasters Point-in-Polygon Test parallel Computing GPU

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parallel Heuristics for Scalable Community Detection 28

Parallel Heuristics for Scalable Community Detection

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28th ieee International parallel & distributed processing symposium Workshops (IPDPSW)

作者： Lu, Hao Kalyanaraman, Ananth Halappanavar, Mahantesh Choudhury, Sutanay Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99164 USA Pacific Northwest Natl Lab Computat Sci & Math Div Richland WA 99352 USA

ISBN: (纸本)9781479941162

Community detection has become a fundamental operation in numerous graph-theoretic applications. It is used to reveal natural divisions that exist within real world networks without imposing prior size or cardinality constraints on the set of communities. Despite its potential for application, there is only limited support for community detection on large-scale parallel computers, largely owing to the irregular and inherently sequential nature of the underlying heuristics. In this paper, we present parallelization heuristics for fast community detection using the Louvain method as the serial template. the Louvain method is an iterative heuristic for modularity optimization. Originally developed by Blondel et al. in 2008, the method has become increasingly popular owing to its ability to detect high modularity community partitions in a fast and memory-efficient manner. However, the method is also inherently sequential, thereby limiting its scalability. Here, we observe certain key properties of this method that present challenges for its parallelization, and consequently propose heuristics that are designed to break the sequential barrier. For evaluation purposes, we implemented our heuristics using OpenMP multithreading, and tested them over real world graphs derived from multiple application domains (e.g., internet, citation, biological). Compared to the serial Louvain implementation, our parallel implementation is able to produce community outputs with a higher modularity for most of the inputs tested, in comparable number of iterations, while providing real speedups of up to 8x using 32 threads. In addition, our parallel implementation was able to exhibit weak scaling properties on up to 32 threads.

关键词： Community detection Graph coloring Louvain method parallel graph algorithms parallel heuristics

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An adaptive parallel background model for high-throughput video applications and smart cameras embedding 14

An adaptive parallel background model for high-throughput vi...

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8th ACM/ieee International Conference on distributed Smart Cameras, ICDSC 2014

作者： Renò, Vito Marani, Roberto D'Orazio, Tiziana Stella, Ettore Nitti, Massimiliano National Research Council Institute of Intelligent Systems for Automation Via Amendola 122 D/O Bari70126 Italy

ISBN: (纸本)9781450329255

Background (BG) modelling is a key task in every computer vision system (CVS) independently of the final purpose for which it is designed. Even if many BG approaches exist (for example Mixture of Gaussians or Eigenbackground), they can not efficiently process real time videos due to the model complexity and to the high throughput of the video flux. One of the most challenging real time applications is the athletic scene processing, because, in this context, there are many critical aspects for defining a BG model: no a-priori knowledge of the static scene, sudden illumination changes and many moving objects that slow down the upgrade phase. the aim of this work is to provide an adaptive BG model able to deal with high frame rate videos (≥ 100 fps) in real time processing, and suitable for smart cameras embedding, finding a good compromise between the model complexity and its responsiveness. Real experiments demonstrate that this BG model approach shows great performances and robustness during the real time processing of athletic video frames, up to 100 fps. Copyright 2014 ACM.

关键词： throughput

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PHAT: A TECHNOLOGY FOR PROTOTYPING parallel HETEROGENEOUS ARCHITECTURES 8

PHAT: A TECHNOLOGY FOR PROTOTYPING PARALLEL HETEROGENEOUS AR...

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8th Conference on Design and Architectures for Signal and Image processing (DASIP)

作者： Wink, thorsten Koch, Andreas Tech Univ Darmstadt Embedded Syst & Applicat Grp Darmstadt Germany

ISBN: (纸本)9791092279061

this paper presents the parallel Heterogeneous Architecture Technology (PHAT), a scalable design methodology for prototyping and evaluating heterogeneous arrays of software-programmable VLIW processors and both manually designed and automatically-compiled custom hardware accelerators, using a shared memory architecture for communication. We discuss the trade-offs and break-even point for switching from bus-based to network-on-chip interconnects, the interface and protocols for connecting distributed on-chip caches and multi-bank out-of-order offchip- memories, as well as the impact of floorplanning on the quality of results for implementation on Xilinx Virtex 6 LX 760 devices. the capabilities are evaluated at the system-level on the multi-FPGA Convey HC-1ex hybrid-core computer, accessing its high-performance memory system, and integrating r-VEX processor cores with IP blocks for SHA and FFT computations.

关键词： on-chip cache shared memory systems PROTOTYPE circuit layout Secure Hashing Algorithm ARCHITECTURE EIS IMPLEMENTATION PLANS PROCESSOR protocols parallel Lines Memory architecture system level BREAKEVEN

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Memory Behaviour and distributed Capacitive Coupling Model for Low Frequency Inversion Capacitance of a Quantum Dot Flash Memory Gate Stack 8

Memory Behaviour and Distributed Capacitive Coupling Model f...

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Asia Modelling symposium 2014 8th International Conference Mathematical Modelling Computer Simulation

作者： Dhavse, Rasika Suresh, K. Mishra, Vivekanand Patrikar, Rajendra SVNIT Dept Elect Engn Surat India VNIT Dept Elect Engn Nagpur Maharashtra India

ISBN: (纸本)9781479964871

Initially, FGMOS gate stack is examined for satisfactory memory behaviour. Later, we present a simple analytical model for the low frequency capacitance of a quantum dot based flash memory gate stack. the model makes use of simple parallel combination of capacitances offered by differentiating regions formed in the gate stack of a flash memory. the model describes overall capacitance where dimensions, number of dots and inter-dot spacing do not affect the validity of the model. With this model, it is possible to develop expressions for static behaviour and dynamic charging of the memory device. the results are compared with the simulation outputs. there is a close matching.

关键词： Flash memory Non volatile memory Memory Window Quantum dots C-V characteristics FGMOS Modeling Modeling and Simulation distributed capacitive coupling

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MTracer: A Trace-Oriented Monitoring Framework for Medium-Scale distributed Systems

MTracer: A Trace-Oriented Monitoring Framework for Medium-Sc...

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2014 ieee 8th International symposium on Service Oriented System Engineering

作者： Jingwen Zhou Zhenbang Chen Haibo Mi Ji Wang Science and Technology on Parallel and Distributed Processing Laboratory Changsha China

Trace-oriented runtime monitoring is a very effective method to improve the reliability of distributed systems. However, for medium-scale distributed systems, existing trace-oriented monitoring frameworks are either not powerful or efficient enough, or too complex and expensive to deploy and maintain. In this paper, we present MTracer, which is a lightweight trace-oriented monitoring system for medium-scale distributed systems. We have proposed and implemented several optimizations to improve the efficiency of the monitor server in MTracer. A web-based frontend is also provided to visualize a monitored system from different perspectives. We have validated MTracer in a real medium-scale environment. the results indicate that MTracer has a very lower overhead, and can handle more than 4000 events per second.

关键词： Monitoring Servers Optimization Databases Runtime Data mining Reliability

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A Discrete Data Dividing Approach for Erasure-Code-Based Storage Applications

A Discrete Data Dividing Approach for Erasure-Code-Based Sto...

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2014 ieee 8th International symposium on Service Oriented System Engineering

作者： Weidong Sun Yijie Wang Yongquan Fu Xiaoqiang Pei Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha Hunan P. R. China

Erasure codes are promising for improving the reliability of the storage system due to its space efficiency compared to the replication methods. Traditional erasure codes split data into equalsized data blocks and encode strips in different data blocks. this brings heavy repairing traffic when clients read parts of the data, since most strips read for repairing are not in the expected blocks. this paper proposes a novel discrete data dividing method to completely avoid this problem. the key idea is to encode strips from the same data block. We could see that for repairing failed blocks, the strips to be read are either in the same data block with corrupted strips or from the encoded strips. therefore, no data is wasted. We design and implement this data layout into a HDFS-like storage system. Experiments over a small-scale testbed shows that the proposed discrete data divided method avoids downloading data blocks that are not needed for clients during the repairing operations.

关键词： Strips Decoding Encoding distributed databases Writing Reliability Magnetic heads

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CoCache: Multi-layer Multi-path Cooperative Cache Accelerating the Deployment of Large Scale Virtual Machines

CoCache: Multi-layer Multi-path Cooperative Cache Accelerati...

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2014 ieee 8th International symposium on Service Oriented System Engineering

作者： Ziyang Li Zhaoning Zhang Huiba Li Yuxing Peng National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology China

By analyzing the problems and challenges of virtual machine image store system in cloud computing environment, we present a cooperative persistent cache (CoCache) for virtual disks. CoCache takes advantage of the service ability of the cached nodes by providing virtual image data service for other nodes. CoCache can transfer data between nodes in a P2P pattern, for extending data service ability of the system. CoCache is realized in the kernel space of Linux, can support any kind of VMM. Experiments show that CoCache can effectively reduce the cost during virtual machines read data, and promote the service ability of virtual machine storage system. Layer-aware cache policy is proposed specially for improving cache hit rate in the multi-layer and multipath environment.

关键词： Virtual machining Servers Image storage Cloud computing Computer architecture System performance Cache storage

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DETS: A Dynamic and Elastic Task Scheduler Supporting Multiple parallel Schemes

DETS: A Dynamic and Elastic Task Scheduler Supporting Multip...

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2014 ieee 8th International symposium on Service Oriented System Engineering

作者： Hanglong Zhan Lianghuan Kang Donggang Cao School of Electronics Engineering and Computer Science Peking University Beijing China

Task scheduling plays an important role in task parallel computing platform. In this paper, we present DETS, a dynamic and elastic task scheduler that can support multiple parallel schemes. DETS works in a master-worker manner and schedules tasks dynamically. In order to execute various types of applications elastically, it uses task pool from which workers pull tasks to execute. Workers are supervised to form a logical group which can scale up/down during runtime with available nodes and processors. DETS supports several types of parallel computing schemes, including embarrassingly parallel, MapReduce, Tree-based searching, DAG-based processing, etc. Exemplars are conducted and the results show DETS is efficient and practical.

关键词： Processor scheduling Dynamic scheduling Program processors Runtime Pipelines Educational institutions

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