Download Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, by Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario PDF

By Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario Cannataro, Carsten Clauss, Alexandru Costan, Gabor Kecskemeti, Christine Morin, Laura Ricci, Julio Sahuquillo, Martin Schulz, Vittorio Scarano, Stephen L. Scott, Josef Weidendorfer (eds.)

This e-book constitutes completely refereed post-conference court cases of the workshops of the nineteenth foreign convention on Parallel Computing, Euro-Par 2013, held in Aachen, Germany in August 2013. The ninety nine papers awarded have been conscientiously reviewed and chosen from a hundred forty five submissions. The papers contain seven workshops which have been co-located with Euro-Par within the past years: - tremendous information Cloud (Second Workshop on great information administration in Clouds) - Hetero Par (11th Workshop on Algorithms, versions and instruments for Parallel Computing on Heterogeneous systems) - HiBB (Fourth Workshop on excessive functionality Bioinformatics and Biomedicine) - OMHI (Second Workshop on On-chip reminiscence Hierarchies and Interconnects) - right (Sixth Workshop on productiveness and function) - Resilience (Sixth Workshop on Resiliency in excessive functionality Computing with Clusters, Clouds, and Grids) - UCHPC (Sixth Workshop on Un traditional excessive functionality Computing) in addition to six beginners: - DIHC (First Workshop on Dependability and Interoperability in Heterogeneous Clouds) - Fed ICI (First Workshop on Federative and Interoperable Cloud Infrastructures) - LSDVE (First Workshop on huge Scale disbursed digital Environments on Clouds and P2P) - MHPC (Workshop on Middleware for HPC and massive information platforms) -PADABS ( First Workshop on Parallel and disbursed Agent dependent Simulations) - ROME (First Workshop on Runtime and working structures for the various middle period) some of these workshops specialise in advertising and development of all features of parallel and dispensed computing.

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Read or Download Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers PDF

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Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers

This publication constitutes completely refereed post-conference court cases of the workshops of the nineteenth overseas convention on Parallel Computing, Euro-Par 2013, held in Aachen, Germany in August 2013. The ninety nine papers offered have been rigorously reviewed and chosen from a hundred forty five submissions. The papers contain seven workshops which have been co-located with Euro-Par within the earlier years: - massive info Cloud (Second Workshop on titanic information administration in Clouds) - Hetero Par (11th Workshop on Algorithms, types and instruments for Parallel Computing on Heterogeneous structures) - HiBB (Fourth Workshop on excessive functionality Bioinformatics and Biomedicine) - OMHI (Second Workshop on On-chip reminiscence Hierarchies and Interconnects) - right (Sixth Workshop on productiveness and function) - Resilience (Sixth Workshop on Resiliency in excessive functionality Computing with Clusters, Clouds, and Grids) - UCHPC (Sixth Workshop on Un traditional excessive functionality Computing) in addition to six novices: - DIHC (First Workshop on Dependability and Interoperability in Heterogeneous Clouds) - Fed ICI (First Workshop on Federative and Interoperable Cloud Infrastructures) - LSDVE (First Workshop on huge Scale dispensed digital Environments on Clouds and P2P) - MHPC (Workshop on Middleware for HPC and large facts platforms) -PADABS ( First Workshop on Parallel and allotted Agent established Simulations) - ROME (First Workshop on Runtime and working structures for the various middle period) most of these workshops specialize in merchandising and development of all points of parallel and dispensed computing.

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Additional info for Euro-Par 2013: Parallel Processing Workshops: BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers

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This presents an interesting trade-off: on one side, increasing the number of VMs per node and/or the number of virtual disks per VM increases the virtualization overhead, but on the other hand it enables Hadoop to leverage the infrastructure better. Thanks to these findings, we propose two interesting directions as future work. The first direction deals with how to improve Hadoop itself in order to enable it to leverage multiple virtual disks efficiently, both at the level of intermediate data and persistent data that needs to be saved in HDFS.

On the other hand, GridFTP performs similarly for all file sizes because the GridFTP was running as a single thread applications. org) 20 S. Koulouzis et al. Fig. 5. Bandwidth between UvA and Cyfronet while using up to 8 concurrent threads (a) (b) Fig. 6. Upload 6(a) and download 6(b) speeds for a Swift cloud storage and a GridFTP server limits the speed to approximately 10 Mbit/sec, but when using multiple threads we can achieve a linear speedup. Figure 6(b) shows the results for downloads where we can see that for a 1 GB file the performance of both backends is similar.

Ibrahim et al. [14] focus on improving I/O virtualization by means of smart coupling of the disk schedulers used at host and guest level that adapts to the workload. Unlike our case, the focus in these efforts is on how to optimize I/O for single disks rather than how to efficiently aggregate the bandwidth of multiple disks. To our best knowledge, we are the fist to explore the problem of efficient virtualization of multiple local disks for data-intensive MapReduce workloads. 5 Conclusions With increasing data sizes, big data analytics becomes increasingly challenging.

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