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检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"

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A parallel Algorithm for Compression of Big Next-Generation Sequencing Datasets 14

A Parallel Algorithm for Compression of Big Next-Generation ...

引用

13th IEEE international Symposium on parallel and distributed processing with applications

作者： Perez, Sandino Vargas Saeed, Fahad Western Michigan Univ Dept Comp Sci Kalamazoo MI 49008 USA Western Michigan Univ Dept Elect & Comp Engn Kalamazoo MI 49008 USA

ISBN: (纸本)9781467379526

The amount of big data from high-throughput Next-Generation Sequencing (NGS) techniques represents various challenges such as storage, analysis and transmission of massive datasets. One solution to storage and transmission of data is compression using specialized compression algorithms. The existing specialized algorithms suffer from poor scalability with increasing size of the datasets and best available solutions can take hours to compress gigabytes of data. Compression and decompression using these techniques for peta-scale data sets is prohibitively expensive in terms of time and energy. In this paper we introduce paraDSRC, a parallel implementation of the DNA Sequence Reads Compression (DSRC) application using a message passing model that presents reduction of the compression time complexity by a factor of O(1/p) (where p is the number of processing units). Our experimental results show that paraDSRC achieves compression times that are 43% to 99% faster than DSRC and compression throughputs of up to 8.4GB/s on a moderate size cluster. For many of the datasets used in our experiments super-linear speedups have been registered making the implementation strongly scalable. We also show that paraDSRC is more than 25.6x faster than comparable parallel compression algorithms.

关键词： Next-Generation Sequencing parallel implementation DSRC MPI big data FASTQ

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PABIRS: A Data Access Middleware for distributed File Systems 31

PABIRS: A Data Access Middleware for Distributed File System...

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31st IEEE international conference on Data Engineering

作者： Wu, Sai Chen, Gang Zhou, Xianke Zhang, Zhenjie Tung, Anthony K. H. Winslett, Marianne Zhejiang Univ Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China NetEase Hangzhou Network Co Ltd Hangzhou Zhejiang Peoples R China Illinois Singapore Pte Ltd Adv Digital Sci Ctr Singapore Singapore Natl Univ Singapore Sch Comp Singapore Singapore Univ Illinois Deparement Comp Sci Champaign IL USA

ISBN: (纸本)9781479979646

Various big data management systems have emerged to handle different types of applications, which cast very different demands on storage, indexing and retrieval of large amount of data on distributed file system. Such diversity on demands has raised huge challenges to the design of new generation of data access service for big data. In this paper, we present PABIRS, a unified data access middleware to support mixed workloads. PABIRS encapsulates the underlying distributed file system (DFS) and provides a unified access interface to systems such as MapReduce and key-value stores. PABIRS achieves dramatic improvement on efficiency by employing a novel hybrid indexing scheme. Based on the data distribution, the indexing scheme adaptively builds bitmap index and Log Structured Merge Tree (LSM) index. Moreover, PABIRS distributes the computation to multiple index nodes and utilizes a Pregel-based algorithm to facilitate parallel data search and retrieval. We empirically evaluate PABIRS against other existing distributed data processing systems and verify the huge advantages of PABIRS on shorter response time, higher throughput and better scalability, over big data with real-life phone logs and TPC-H benchmark.

关键词： Middleware

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A parallel Latent Semantic Indexing (LSI) Algorithm for Malay Hadith Translated Document Retrieval 1st

A Parallel Latent Semantic Indexing (LSI) Algorithm for Mala...

引用

1st international conference on Soft Computing in Data Science (SCDS)

作者： Abd Rahman, Nurazzah Mabni, Zulaile Omar, Nasiroh Hanum, Haslizatul Fairuz Mohamed Rahim, Nik Nur Amirah Tuan Mohamad Univ Teknol MARA Fac Comp & Math Sci Shah Alam 40450 Malaysia

ISBN: (纸本)9789812879363;9789812879356

Latent Semantic Indexing (LSI) is one of the well-known searching techniques which match queries to documents in information retrieval applications. LSI has been proven to improve the retrieval performance, however, as the size of documents gets larger, current implementations are not fast enough to compute the result on a standard personal computer. In this paper, we proposed a new parallel LSI algorithm on standard personal computers with multicore processors to improve the performance of retrieving relevant documents. The proposed parallel LSI was designed to automatically run the matrix computation on LSI algorithms as parallel threads using multi-core processors. The Fork-Join technique is applied to execute the parallel programs. We used the Malay Translated Hadith of Shahih Bukhari from Jilid 1 until Jilid 4 as the test collections. The total number of documents used is 2028 of text files. The processing time during the pre-processing phase of the documents for the proposed parallel LSI is measured and compared to the sequential LSI algorithm. Our results show that processing time for pre-processing tasks using our proposed parallel LSI system is faster than sequential system. Thus, our proposed parallel LSI algorithm has improved the searching time as compared to sequential LSI algorithm.

关键词： Latent Semantic Indexing (LSI) parallel programming Fork-Join

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From Google File System to Omega: a Decade of Advancement in Big Data Management at Google 1

From Google File System to Omega: a Decade of Advancement in...

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1st IEEE international conference on Big Data Computing Service and applications (BigDataService)

作者： Yang, Jade Purdue Univ Calumet Dept Comp Informat Technol & Graph Hammond LA 46323 USA

ISBN: (纸本)9781479981281

Since the dawn of the big data era the search giant Google has been in the lead for meeting the challenge of the new era. Results from Google's big data projects in the past decade have inspired the development of many other big data technologies such as Apache Hadoop and NoSQL databases. The study article examines ten major milestone papers on big data management published by Google, from Google File system (GFS), MapReduce, Bigtable, Chubby, Percolator, Pregel, Dremel, to Megastore, Spanner and finally Omega. The purpose of the study article is to help provide a high-level understanding of the concepts behind many popular big data solutions and derive insights on building robust and scalable systems for handling big data.

关键词： Big Data management distributed systems parallel processing

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A New distributed Grid Scheme Utilizing Node-based Preprocessing Technique for Supporting k-NN Queries in Location-based Services 1

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2nd FTRA international conference on Ubiquitous Computing Application and Wireless Sensor Network (UCAWSN)

作者： Lee, Hyunjo Yoon, Min Chang, Jae-Woo Chonbuk Natl Univ Dept Comp Engn Chonju Chonbuk 56756 South Korea

ISBN: (数字)9789401796187

ISBN: (纸本)9789401796187;9789401796170

Because moving objects usually move on spatial networks in location-based service applications, their locations are updated frequently, leading to the degradation of retrieval performance. To manage the frequent updates of moving objects' locations in an efficient way, we propose a new distributed grid scheme which utilizes node-based pre-computation technique to minimize the update cost of the moving objects' locations. Because our grid scheme manages spatial network data separately from the POIs (Point of Interests) and moving objects, it can minimize the update cost of the POIs and moving objects. Using our grid scheme, we propose a new k-nearest neighbor (k-NN) query processing algorithm which minimizes the number of accesses to adjacent cells during POIs retrieval in a parallel way. Finally, we show from our performance analysis that our k-NN query processing algorithm is better on retrieval performance than that of the existing S-GRID.

关键词： distributed grid scheme Query processing algorithm Road network Moving objects

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Information and communication system based on data processing center for smart grid

Information and communication system based on data processin...

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international conference on Control Engineering and Information System, ICCEIS 2014

作者： Han, Y.H. Wang, J.K. Zhao, Q. Han, P. Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (纸本)9781138026858

Two-way seamless communication is the key aspect of realizing the vision of smart grid. Reliable and real-time information becomes the key factor for reliable delivering of power from the generating units to the end-users. This paper addresses critical issues on smart grid technologies primarily in terms of information and communication technology and opportunities. The main objective of this paper is to provide a contemporary look at the communication infrastructure in smart grid. Data processing center is considered to include in WAN and HAN to reduce latency and improve real-time data transmitted. And parallel acceleration processing techniques is proposed for data processing center to solve the compute-intensive character of applications of smart grid. It is also expected that this paper will provide a better understanding of the requirement, potential advantages and research challenges. © 2015 Taylor & Francis Group, London.

关键词： Smart power grids

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Extended techniques for flexible modeling and execution of data mashups 4

Extended techniques for flexible modeling and execution of d...

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4th international conference on Data Management Technologies and applications, DATA 2015

作者： Hirmer, Pascal Reimann, Peter Wieland, Matthias Mitschang, Bernhard Institute of Parallel and Distributed Systems / Application Systems University of Stuttgart Unversitaetsstrasse 38 StuttgartD-70569 Germany

ISBN: (纸本)9789897581038

Today, a multitude of highly-connected applications and information systems hold, consume and produce huge amounts of heterogeneous data. The overall amount of data is even expected to dramatically increase in the future. In order to conduct, e.g., data analysis, visualizations or other value-adding scenarios, it is necessary to integrate specific, relevant parts of data into a common source. Due to oftentimes changing environments and dynamic requests, this integration has to support ad-hoc and flexible data processing capabilities. Furthermore, an iterative and explorative trial-and-error integration based on different data sources has to be possible. To cope with these requirements, several data mashup platforms have been developed in the past. However, existing solutions are mostly non-extensible, monolithic systems or applications with many limitations regarding the mentioned requirements. In this paper, we introduce an approach that copes with these issues (i) by the introduction of patterns to enable decoupling from implementation details, (ii) by a cloud-ready approach to enable availability and scalability, and (iii) by a high degree of flexibility and extensibility that enables the integration of heterogeneous data as well as dynamic (un-)tethering of data sources. We evaluate our approach using runtime measurements of our prototypical implementation.

关键词： Data integration

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Storage Database System in the Cloud Data processing on the Base of Consolidation Technology 15th

Storage Database System in the Cloud Data Processing on the ...

引用

15th international conference on Computational Science and Its applications (ICCSA)

作者： Bogdanov, Alexander V. Lwin, Thurein Kyaw Stankova, Elena St Petersburg State Univ St Petersburg 198504 Russia St Petersburg Electrotech Univ LETI St Petersburg 197376 Russia

ISBN: (纸本)9783319214108;9783319214092

In this article we were studying the types of architectures for cloud processing and storage of data, data consolidation and enterprise storage. Special attention is given to the use of large data sets in computational process. It was shown, that based on the methods of theoretical analysis and experimental study of computer systems architectures, including heterogeneous, special techniques of data processing, large volumes of information models relevant architectures, methods of optimization software for the heterogeneous systems, it is possible to ensure the integration of computer systems to provide computations with very large data sets.

关键词： Database system Cloud computing Cosolidation technology Hybrid cloud distributed system Centralized databases Federated databases IBM DB2 DBMS Vmware Virtual server SMP MPP Virtual processing

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SAUCE: A Web-Based Automated Assessment Tool for Teaching parallel Programming

SAUCE: A Web-Based Automated Assessment Tool for Teaching Pa...

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21st international conference on parallel and distributed Computing (Euro-Par)

作者： Schlarb, Moritz Hundt, Christian Schmidt, Bertil Johannes Gutenberg Univ Mainz Inst Comp Sci D-55128 Mainz Germany

ISBN: (纸本)9783319273082;9783319273075

Many curricula for undergraduate studies in computer science provide a lecture on the fundamentals of parallel programming like multi-threaded computation on shared memory architectures using POSIX threads or OpenMP. The complex structure of parallel programs can be challenging, especially for inexperienced students. Thus, there is a latent need for software supporting the learning process. Subsequent lectures may cover more advanced parallelization techniques such as the Message Passing Interface (MPI) and the Compute Unified Device Architecture (CUDA) languages. Unfortunately, the majority of students cannot easily access MPI clusters or modern hardware accelerators in order to effectively develop parallel programming skills. To overcome this, we present an interactive tool to aid both educators and students in the learning process. This paper describes the "System for AUtomated Code Evaluation" (SAUCE), a web-based open source (available under the AGPL-3.0 license at https://***/moschlar/SAUCE) application for programming assignment evaluation and elaborates on its features specifically designed for the teaching of parallel programming. This tool enables educators to provide the required programming environments with a low barrier to entry since it is usable with just a web browser. SAUCE allows for immediate feedback and thus can be used interactively in class room settings.

关键词： parallel programming

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Practical evaluation of large scale applications 15

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15th IFIP WG 6.1 international conference on distributed applications and Interoperable Systems, DAIS 2015 Held as Part of the 10th international Federated conference on distributed Computing techniques, DisCoTec 2015

作者： Jorge, Tiago Maia, Francisco Matos, Miguel Pereira, José Oliveira, Rui INESC TEC and U. Minho Portugal

ISBN: (纸本)9783319191287

Designing and implementing distributed systems is a hard endeavor, both at an abstract level when designing the system, and at a concrete level when implementing, debugging and evaluating it. This stems not only from the inherent complexity of writing and reasoning about distributed software, but also from the lack of tools for testing and evaluating it under realistic conditions. Moreover, the gap between the protocols’ specifications found on research papers and their implementations on real code is huge, leading to inconsistencies that often result in the implementation no longer following the specification. As an example, the specification of the popular Chord DHT comprises a few dozens of lines, while its Java implementation, OpenChord, is close to twenty thousand lines, excluding libraries. This makes it hard and error prone to change the implementation to reflect changes in the specification, regardless of programmers’ skill. Besides, critical behavior due to the unpredictable interleaving of operations and network uncertainty, can only be observed on a realistic setting, limiting the usefulness of simulation tools. We believe that being able to write an algorithm implementation very close to its specification, and evaluating it in a real environment is a big step in the direction of building better distributed systems. Our approach leverages the MINHA platform to offer a set of built in primitives that allows one to program very close to pseudo-code. This high level implementation can interact with off-the-shelf existing middleware and can be gradually replaced by a production-ready Java implementation. In this paper, we present the system design and showcase it using a well-known algorithm from the literature. © IFIP international Federation for Information processing 2015.

关键词： Specifications

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