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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Ni, Sheng Guo, Rentong Liao, Xiaofei Jin, Hai Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271217

Bloom filters are widely used in databases and network areas. These filters facilitate efficient membership checking with a low false positive ratio. It is a way to improve the throughput of bloom filter by parallel processing. Common many-core processors such as Xeon Phi can provide high parallelism. Thus, we build an iterative model to analyze memory access performance. This performance suggests that the bottleneck in the traditional design is mainly caused by synchronization cost and memory latency on many-core platforms. Therefore, we propose a parallel bloom filter (PBF), which is a lockless method involving input data preprocessing. This method reduces synchronization overhead and improves cache locality. We also implement and evaluate PBF on a Xeon Phi processor. Results show that the memory access performance is three times better than that of the counting bloom filter. PBF provides improved scalability, and the speedup ratio can reach a maximum of 80.7x. © Springer International Publishing Switzerland 2015.

关键词： Scalability

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Boosting mapreduce with network-aware task assignment 4th

Boosting mapreduce with network-aware task assignment

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4th International Conference on Cloud computing, CloudComp 2013

作者： Xu, Fei Liu, Fangming Zhu, Dekang Jin, Hai Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319055053

Running MapReduce in a shared cluster has become a recent trend to process large-scale data analytical applications while improving the cluster utilization. However, the network sharing among various applications can make the network bandwidth for MapReduce applications constrained and heterogeneous. This further increases the severity of network hotspots in racks, and makes existing task assignment policies which focus on the data locality no longer effective. To deal with this issue, this paper develops a model to analyze the relationship between job completion time and the assignment of both map and reduce tasks across racks. We further design a network-aware task assignment strategy to shorten the completion time of MapReduce jobs in shared clusters. It integrates two simple yet effective greedy heuristics that minimize the completion time of map phase and reduce phase, respectively. With large-scale simulations driven by Facebook job traces, we demonstrate that the network-aware strategy can shorten the average completion time of MapReduce jobs, as compared to the state-of-the-art task assignment strategies, yet with an acceptable computational overhead. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.

关键词： MapReduce

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Efficient multiple-reference temporal error concealment algorithm based on H.264/AVC 2nd

Efficient multiple-reference temporal error concealment algo...

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2nd International Conference on Human Centered computing, HCC 2016

作者： Yu, Chen Cheng, Chao Jin, Hai Zhou, Jingli Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319318530

Temporal error concealment at the video communication receiver recovers damaged blocks using temporal information redundancy. To enhance the quality of reconstructed image, a multiple-reference temporal error concealment algorithm based on H.264/AVC was proposed. Firstly, a pre-concealment is implemented to improve video frame;then the fractional pixel boundary matching algorithm and search algorithm are used to evaluate the candidate motion vectors from a number of reference frames, and the motion vector (MV) giving the minimum boundary matching distortion (MBMD) is selected as optimal motion vector;finally it is used to recover the damaged block and the video frame quality can be improved further. For various video sequences and different macro-block loss ratio, experimental results show that the proposed algorithm is significantly better than traditional temporal error concealment algorithms such as BMA and BM from both objectively and subjectively. At the loss ratio of 10 %, improvements of the proposed algorithm are more than 0.8~3.7 dB compared to that of other algorithms. © Springer International Publishing Switzerland 2016.

关键词： Image enhancement

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A new approach for vehicle recognition and tracking in multi-camera traffic system 15th

A new approach for vehicle recognition and tracking in multi...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Jiang, Wenbin Lu, Zhiwei Jin, Hai Chi, Ye Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271361

In order to ensure recognition accuracy, intelligent traffic video tracking system usually requires various types of information. Therefore, multi-features fusion becomes a good choice. In this paper, a new recognition approach for vehicle types based multi-feature fusion is proposed, which is used for vehicle tracking in a multi-camera traffic system. An improved Canny operator is presented for edge detection. SURF (Speeded Up Robust Features) is used for local feature extraction. To improve the performance of distance cal- culation between features, a refined method based on Hellinger kernel is put forward. A position constraint rule is applied to reduce unnecessary fake matchings. Finally, the information of vehicle types combined with LBP (Local Binary Pattern), HOG (Histogram of Oriented Gradients) is used for a multi-camera vehicle tracking platform, which adopts Hadoop to realize the parallel computing of the system. Experimental results show that the proposed approach has good performance for the platform. © Springer International Publishing Switzerland 2015.

关键词： Local binary pattern

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HRF: A resource allocation scheme for moldable jobs 15

HRF: A resource allocation scheme for moldable jobs

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12th ACM International Conference on computing Frontiers, CF 2015

作者： Wu, Song Tuo, Qiong Jin, Hai Yan, Chuxiong Weng, Qizheng Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781450333580

Moldable jobs, which allow the number of allocated processors to be adjusted before running in clusters, have attracted increasing concern in parallel job scheduling research. Compared with traditional rigid jobs where the number of allocated processors is fixed, moldable jobs are more flexible and therefore have more potential for improving their average turnaround time (a crucial metric to describe performance of jobs in a cluster). Average turnaround time of moldable jobs depends greatly on resource allocation schemes. Unfortunately, existing schemes do not perform well in reducing average turnaround time, either because they only consider a single job's turnaround time instead of the average turnaround time of all jobs, or because they just aim at fairness between short and long jobs instead of their average turnaround time. In this paper, we investigate how resource allocation affects the average turnaround time of moldable jobs in clusters, and propose a scheme named HRF (highest revenue first), which allocates processors according to the highest revenue of shortening runtime. In our simulations, experimental results show that HRF can reduce average turnaround time up to 71% when compared with state-of-the-art schemes. © Copyright 2015 ACM.

关键词： Resource allocation

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Anysee2: An auto load balance P2P live streaming system with hybrid architecture (work-in-progress) 2

Anysee2: An auto load balance P2P live streaming system with...

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2nd International Conference on Scalable Information systems, InfoScale 2007

作者： Huang, Qi Jin, Hai Liu, Ke Liao, Xiaofei Tu, Xuping Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781595937575

Nowadays, Peer-to-Peer technology has been widely used in live streaming applications and many related systems are proposed. However, their single overlay design and unbalanced scheduling methods lead to some inefficiency including high control overhead and bad playback experience. This paper mainly discusses how to address these certain problems. We introduce a hybrid architecture to solve the locality problem and reduce the control overhead. We also propose a scheduling method to achieve load balance. All solutions are implemented in Anysee2.

关键词： Scheduling

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CDMCR: multi-level fault-tolerant system for distributed applications in cloud

CDMCR: multi-level fault-tolerant system for distributed app...

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作者： Qiang, Weizhong Jiang, Changqing Ran, Longbo Zou, Deqing Jin, Hai Services Computing Technology and System Lab and Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

Cloud provides users with a new model of utilizing the computing infrastructure with the ability to perform parallel and distributed computations using elastic virtual cluster. However, the multi-level and complex features make cloud computing system more prone to failure. In this paper, we present a multi-level fault-tolerant system for distributed applications in cloud named Distributed-application oriented Multi-level Checkpoint/Restart for Cloud (CDMCR). The CDMCR system backups the complete state of applications periodically with a snapshot-based distributed checkpointing protocol, including file system state. Thus, we cannot only recover processes but also rollback data. A multi-level recovery strategy is proposed, which includes process-level recovery, virtual machine recreation, and host rescheduling, enabling comprehensive and efficient fault tolerance for different components in cloud. We deploy CDMCR as PaaS, so that users can be liberated from node management and system configuration and get access to fault-tolerant service conveniently. We have implemented this system based on the Xen virtualization platform and the OpenNebula cloud platform. Experiments on the prototype demonstrate the correctness of the system. Analysis shows that CDMCR does not cause message loss or data loss, and the backup time remains nearly constant as the number of nodes increases on virtual cluster. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： Copyrights

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Automatic detection and recognition of silicosis in chest radiograph

Automatic detection and recognition of silicosis in chest ra...

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作者： Zhu, Lei Zheng, Ran Jin, Hai Zhang, Qin Zhang, Wei Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

Silicosis remains one of the most harmful occupational respiratory diseases. It threatens the workers exposed to dust environment. Chest radiograph is the main available image source for silicosis diagnosis according to the diagnostic criteria of pneumoconiosis (DCP). Automatic detection and recognition of silicosis in chest radiograph has great importance on aiding the process of silicosis diagnosis. This paper proposes a multi-scale opacity detection approach to detect all suspected opacities from the chest radiograph. A support vector machine (SVM) based computer-aided silicosis diagnosis is proposed to recognize silicosis opacity from a large amount of candidate regions, and gives processing result for radiologist reference. Comprehensive experiments conducted on real world chest radiographs demonstrate that the proposed approach can reveal changes of silicosis pathology well, and it can be adopted as an effective tool for automatic silicosis diagnosis. © 2014 - IOS Press and the authors.

关键词： Support vector machines

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A data-centric tool to improve the performance of multithreaded program on NUMA 15th

A data-centric tool to improve the performance of multithrea...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Zeng, Dan Zhu, Liang Liao, Xiaofei Jin, Hai Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271392

Non-uniform memory access (NUMA) is one of the main architectures of today’s high-performance server. The key feature of NUMA is the non-uniformity of access latency. Access from a processor to attached memory is faster, and it also reduces the possibility of causing contention on interconnect links and memory controller. Multithreaded programs may experience high memory latency without careful placement of data and thread. Thus, it is necessary to develop a tool to identify and help ameliorate NUMA problems. In this paper, we present a data-centric tool to analyze the performance of multithreaded programs on NUMA architectures and provide advices on how to improve the performance. This paper describes the design and implementation of the tool. The tool is evaluated on Linux using three benchmark applications, and the evaluation shows how this tool helps to identify costly variables and choose optimization methods. The result shows performance improvement of up to 51.92%. © 2015 Springer International Publishing Switzerland.

关键词： Benchmarking

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A survey of cloud resource management for complex engineering applications

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Frontiers of Computer Science 2016年第3期10卷 447-461页

作者： Haibao CHEN Song WU Hai JIN Wenguang CHEN Jidong ZHAI Yingwei LUO Xiaolin WANG Services Computing Technology and System Lab Cluster and Grid Computing LabSchool of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China Institute of High Performance Computing Tsinghua University Beijing 100084 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China School of Computer and Information Engineering Chuzhou University Chuzhou 239000 China

Traditionally, complex engineering applications （CEAs）, which consist of numerous components （software） and require a large amount of computing resources, usu- ally run in dedicated clusters or high performance computing （HPC） centers. Nowadays, Cloud computing system with the ability of providing massive computing resources and cus- tomizable execution environment is becoming an attractive option for CEAs. As a new type on Cloud applications, CEA also brings the challenges of dealing with Cloud resources. In this paper, we provide a comprehensive survey of Cloud resource management research for CEAs. The survey puts forward two important questions： 1） what are the main chal- lenges for CEAs to run in Clouds？ and 2） what are the prior research topics addressing these challenges？ We summarize and highlight the main challenges and prior research topics. Our work can be probably helpful to those scientists and en- gineers who are interested in running CEAs in Cloud envi- ronment.

关键词： Cloud computing complex engineering application resource management virtualization

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