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检索条件"机构=Services Computing Technology and System Laboratory"

共 237 条记录，以下是151-160 订阅

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Fast saving and restoring virtual machines with page compression

Fast saving and restoring virtual machines with page compres...

引用

International Conference on Cloud and Service computing (CSC)

作者： Li Deng Hai Jin Song Wu Xuanhua Shi Jiangfu Zhou Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

More and more enterprises are moving beyond server virtualization to desktop virtualization in recent years. In virtualization environments, centralized shared storage systems are generally used to take advantage of virtualization features such as VM migration. Network file system (NFS) is considered to be the best choice in small or medium sized LANs due to its flexibility and low cost. But it becomes the bottleneck when many clients access the server simultaneously, especially when multiple virtual machines access a large amount of data at the same time, such as operation save and restore. In this paper, we present a new method named ComIO to quickly save and restore virtual machines using page compression. Based on the analysis of virtual machines' memory characteristics, we design a fast enhanced characteristic-based compression (ECBC) algorithm. Combined with multi-threaded techniques, the compression tasks are parallelized for significantly shortened compresssion time. Page boundary alignment is proposed to enable wanted page data to be directly extracted from the compressed block. The experimental results demonstrate that compared with Xen, our method ComIO not only greatly reduces the time spent on saving and restoring virtual machines on average, but also indirectly augments the effective storage space.

关键词： Virtual machining Image coding Instruction sets Compression algorithms Servers Image restoration Algorithm design and analysis

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Scheduling and dropping policies for probabilistic routing in Delay Tolerant Networks

Scheduling and dropping policies for probabilistic routing i...

引用

International Conference on Pervasive computing and Applications (ICPCA)

作者： Chen Yu Chuanming Liang Xi Li Hai Jin Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781457702099

The Delay Tolerant Network employs a store-carry-forward paradigm to enable bundle delivery in intermittent connected environments. A router relays a message only when a proper contact opportunity occurs, which results in prominent congestion issues. An appropriate scheduling and dropping policy can alleviate this situation and maximize contact capacity. We investigate the impact of delivery probability and number of message replicas over the efficiency of scheduling and dropping policies in probabilistic routing, and present a new way to utilize contact probability and delivery predictability to direct the design of scheduling policies. We also design a simple and distributed method to approximate the global number of replicas. We integrate these results and present a new scheduling and dropping policy. Simulation based on map based movement has shown that the new policy gains a delivery rate very close to global knowledge based policies, and it outperforms all other existing scheduling and dropping policies.

关键词： Frequency modulation

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Compounded Face Image Retrieval Based on Vertical Web Image Retrieval

Compounded Face Image Retrieval Based on Vertical Web Image ...

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ChinaGrid Annual Conference (ChinaGrid)

作者： Ran Zheng Shilei Wen Qin Zhang Hai Jin Xia Xie Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Text-based image search engine and content-based image retrieval (CBIR) have achieved much progress in commerce and academic community. In addition, a few attempts have been conducted to integrate the two techniques for image retrieval in web context. However, it is very difficult for general search engine based on image context to return highly accurate results. Compound face image retrieval system, based on a novel vertical web image retrieval framework, is designed to make comprehensive uses of text, image content and some related technologies in face detection and recognition. It incorporates high-level semantics and low-level visual features of web image and provides more accurate results and good extensibility for further applications.

关键词： Face Feature extraction Image retrieval Filtering algorithms Visualization Histograms

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Sharing Virtual USB Device in Virtualized Desktop

Sharing Virtual USB Device in Virtualized Desktop

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International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)

作者： Xiaofei Liao Xiao Xie Hai Jin Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

With the development of computer science, desktop virtualization technology is more and more popular. In virtualized desktop, it is a very significant research to share periphery devices in the client-end computer seamlessly. We implement a device sharing mechanism to extend the universal serial bus in client-end host to the network for server-end host using transparently. This virtual device bus is deployed in the driver layer so that most applications and drivers in virtualized desktop could access remote shared devices through original interface. After deploying the virtual device bus driver, the duplicated virtual device could be accessed just like a real local device. In our implementation, the virtual device bus driver, which is the main module for virtualizing real USB devices and the interface for applications, is OS independent. Experiments show that the mechanism has a very friendly and easy interface to access virtual USB devices, and good performance.

关键词： Universal Serial Bus Protocols IP networks Hardware Linux Computers Kernel

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I/O Scheduling by Using Multi-network Interfaces of Virtualization system

I/O Scheduling by Using Multi-network Interfaces of Virtuali...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Xia Xie Haiqing Zhu Wenzhi Cao Hai Jin Pingpeng Yuan Services Computing Technology and System Laboratory Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

With the development of virtualization technology, it can run more and more guest domains on one single physical machine. So the network I/O demand is also rapidly increasing, for these guest domains can supply more and more services or run more and more applications. This will lead to serious contention on network I/O of physical machine. Although we can use high performance NICs (network interface cards) to improve network I/O performance, one single NIC cannot get further performance improvement which depends on hardware technology. Linux bonding can achieve high bandwidth network by using multiple NICs, but it does not guarantee QoS among guest domains. Also it would terminate one guest domain's communication because of its response mechanism of ARP. Therefore, we present an approach named Virtual Bonding to achieve high bandwidth network by using multi-NICs. It aggregates multi-NICs to provide high bandwidth and high-quality network services. It also introduces load balancing mechanism between multi-NICs. So it can make full use of every NIC. Furthermore, it makes perfect support to virtualization environment.

关键词： Bonding Bridges Bandwidth Load management Servers Linux IP networks

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Optimization of Sparse Matrix-Vector Multiplication with Variant CSR on GPUs

Optimization of Sparse Matrix-Vector Multiplication with Var...

引用

International Conference on Parallel and Distributed systems (ICPADS)

作者： Xiaowen Feng Hai Jin Ran Zheng Kan Hu Jingxiang Zeng Zhiyuan Shao Services Computing Technology and System Laboratory Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Sparse Matrix-Vector multiplication (SpMV) is one of the most significant yet challenging issues in computational science area. It is a memory-bound application whose performance mostly depends on the input matrix and the underlying architecture. Many researchers have paid more attentions on exploring a variety of optimization techniques to SpMV. One of the most promising respects is how to adapt the storage format to satisfy the underlying architecture. Alterative storage formats can largely lessen memory pressure, however, the computational resources are often underutilized. Therefore, a new storage format, which is called Compressed Sparse Row with Segmented Interleave Combination (SIC), is proposed. Stemming from Compressed Sparse Row format (CSR), SIC format employs an interleave combination pattern that combines certain amount of CSR rows to form a new SIC row. In order to further improve performance, segmented processing is also brought in. According to the empirical data, we also develop an automatic SIC-based SpMV suitable for all the matrices. Experimental results show that our approach outperforms the NVIDIA CSR vector kernel, achieving up to 12.6 × speedup. It also demonstrates a comparable performance with the Hybrid format, even with the highest 2.89 × speedup.

关键词： Graphics processing unit Kernel Sparse matrices Silicon carbide Vectors Instruction sets Computer architecture

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Towards Pay-As-You-Consume Cloud computing

Towards Pay-As-You-Consume Cloud Computing

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IEEE International Conference on services computing (SCC)

作者： Shadi Ibrahim Bingsheng He Hai Jin Cluster and Grid Computing Laboratory Services Computing Technology and System Laboratory Huazhong University of Science and Technology Wuhan China School of Computer Engineering Nanyang Technological University Singapore

Cloud computing enables users to perform their computation tasks in the public virtualized cloud using a pay-as-you-go style. Current pay-as-you-go pricing schemes typically charge on the incurred virtual machine hours. Our case studies demonstrate significant variations in the user costs, indicating significant unfairness among different users from the micro-economic perspective. Further studies reveal the reason for such variations is interference among concurrent virtual machines. The amount of interference cost depends on various factors, including workload characteristics, the number of concurrent VMs, and scheduling in the cloud. In this paper, we adopt the concept of pricing fairness from micro economics, and quantitatively analyze the impact of interference on the pricing fairness. To solve the unfairness caused by interference, we propose a pay-as-you-consume pricing scheme, which charges users according to their effective resource consumption excluding interference. The key idea behind the pay-as-you-consume pricing scheme is a machine learning based prediction model of the relative cost of interference. Our preliminary results with Xen demonstrate the accuracy of the prediction model, and the fairness of the pay-as-you-consume pricing scheme.

关键词： Interference Pricing Virtual machining Throughput Hardware Benchmark testing Predictive models

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Analyzing and Improving MPI Communication Performance in Overcommitted Virtualized systems

Analyzing and Improving MPI Communication Performance in Ove...

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International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication systems (MASCOTS)

作者： Zhiyuan Shao Qiang Wang Xuejiao Xie Hai Jin Ligang He Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Department of Computer Science University of Warwick Coventry UK

Nowadays, it is an important trend in the system domain to use the software-based virtualization technology to build the execution environments (e.g., Clouds) and serve high performance computing (HPC) applications. However, with the extra virtualization layer, the application performance may be negatively affected. Studies revealed that the communication performance of the MPI library, which is widely used by the HPC applications, would suffer a high penalty when a physical host machine becomes overcommitted by virtual processors (VCPU). Unfortunately, the problem has not received enough attention and has not been solved yet in literature. In this paper, we investigate the reasons behind the performance penalty, and propose a solution to improve the communication performance of running MPI applications in the overcommitted virtualized systems. The experimental results show that by our proposal, most HPC applications can gain performance improvement to different extents among the overcommitted systems, depending on their communication patterns and the over committing level.

关键词： Libraries Benchmark testing Virtual machine monitors Kernel Cloud computing Linux Virtual machining

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Adaptive Disk I/O Scheduling for MapReduce in Virtualized Environment

Adaptive Disk I/O Scheduling for MapReduce in Virtualized En...

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International Conference on Parallel Processing (ICPP)

作者： Shadi Ibrahim Hai Jin Lu Lu Bingsheng He Song Wu Cluster and Grid Computing laboratory Services Computing Technology and System laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Engineering Nanyang Technological University Singapore

Virtual machine (VM) interference has long been a challenging problem for performance predictability and system throughput for large-scale virtualized environments in the cloud. Such interferences are contributed by intertwined factors including the application's type, the number of con current VMs, and the VM scheduling algorithms used within the host. Since MapReduce has become an important data processing platform in the cloud, we investigate the impact of disk schedulers in Hadoop. Interestingly, our experimental results report a noticeable variation of the Hadoop performance between different applications when applying different disk pairs' schedulers in both the hypervisor and the virtual machines. Furthermore, a typical Hadoop application consists of different interleaving stages, each requiring different I/O workloads and patterns. As a result, the disk pairs' schedulers are not only sub-optimal for different MapReduce applications, but also sub-optimal for different sub-phases of the whole job. Accordingly, this paper presents a novel approach for adaptively tuning the disk pairs' schedulers in both the hypervisor and the virtual machines during the execution of a single MapReduce job. Our results show that MapReduce performance can be significantly improved; specifically, adaptive tuning of disk pairs' schedulers achieves a 25% performance improvement on a sort benchmark with Hadoop.

关键词： Benchmark testing Throughput Virtual machine monitors Interference Switches Virtual machining Tuning

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A Web-Based Phylogenetic Analysis for a Query Gene

A Web-Based Phylogenetic Analysis for a Query Gene

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Shenglong Tan Song Wu School of Computer Hubei University of Economics Wuhan China Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

We present a robust web server called Phytree of a query gene for phylogenetic analysis from the latest protein database with a user-friendly, interactive graphical user interface. Phytree of a query gene combines a BLAST search with a suite of tools that allows interactive, phylogenetic-oriented exploration of the BLAST results and flexible selection of homologous sequences among the BLAST hits. Once the selection of the BLAST hits is done, the corresponding sequences can be passed to the phylogenetic tree reconstruction pipelines (multiple alignment, data process, phylogenetic reconstruction, tree visualization). As the major technological innovation, selection of a meaningful subset of BLAST hits is implemented using pipeline programming and tree visualization used Java-based recursive method that allows trees to be integrated and viewed seamlessly in standard web browsers with no extra software required. Phytree of a query gene only needs users to copy their amino acid sequence of their query gene to the input box, and the phylogenetic tree will be built once and for all. This function is very practical for non-specialist in phylogeny. Moreover, Phytree of a query gene introduces several new methods in treatment of intermediate results, which makes it much faster, easier and more accurate, robust in phylogenetic tree reconstruction. It is specially designed for users who have no experience in phylogeny. It is freely available on our web page: http://211.69.198.144/***.

关键词： Phylogeny Databases Pipelines Proteins Bioinformatics Visualization Software

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