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Titlebook: Euro-Par 2013: Parallel Processing Workshops; BigDataCloud, DIHC, Dieter Mey,Michael Alexander,Josef Weidendorfer Conference proceedings 2

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书目名称Euro-Par 2013: Parallel Processing Workshops
副标题BigDataCloud, DIHC,
编辑Dieter Mey,Michael Alexander,Josef Weidendorfer
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Euro-Par 2013: Parallel Processing Workshops; BigDataCloud, DIHC,  Dieter Mey,Michael Alexander,Josef Weidendorfer Conference proceedings 2
描述This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 19th International Conference on Parallel Computing, Euro-Par 2013, held in Aachen, Germany in August 2013. The 99 papers presented were carefully reviewed and selected from 145 submissions. The papers include seven workshops that have been co-located with Euro-Par in the previous years: - Big Data Cloud (Second Workshop on Big Data Management in Clouds) - Hetero Par (11th Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms) - HiBB (Fourth Workshop on High Performance Bioinformatics and Biomedicine) - OMHI (Second Workshop on On-chip Memory Hierarchies and Interconnects) - PROPER (Sixth Workshop on Productivity and Performance) - Resilience (Sixth Workshop on Resiliency in High Performance Computing with Clusters, Clouds, and Grids) - UCHPC (Sixth Workshop on Un Conventional High Performance Computing) as well as six newcomers: - DIHC (First Workshop on Dependability and Interoperability in Heterogeneous Clouds) - Fed ICI (First Workshop on Federative and Interoperable Cloud Infrastructures) - LSDVE (First Workshop on Large Scale Distributed Virtual E
出版日期Conference proceedings 2014
关键词agent-based simulations; big data; cloud computing; cloud data storage; data interoperability; algorithm
版次1
doihttps://doi.org/10.1007/978-3-642-54420-0
isbn_softcover978-3-642-54419-4
isbn_ebook978-3-642-54420-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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Towards Workload-Driven Adaptation of Data Organization in Heterogeneous Storage Systemsrage capacity, performance, and reliability. In particular, the I/O performance may be a key factor to speed up the data analysis. However, the performance of a storage system significantly depends on its configuration and the access pattern. Designing storage systems always implies making compromis
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MapReduce in GPI-Space growing demand for processing big data volumes requires a better control of the workflows, an efficient storage management, as well as a fault-tolerant runtime system. Trying to offer our proper solution to these problems, we designed and developed GPI-Space, a complex but flexible software develop
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Multi-objective Genetic Algorithm for Multi-cloud Brokeringby commercial providers according to specific service level agreements. Research effort has been spent to address the lack of Cloud interoperability that is a barrier to cloud-computing adoption because of the vendor lock-in problem. In fact the ability to easily move workloads and data from one clo
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Towards Data Interoperability of Cloud Infrastructures Using Cloud Storage Servicesfrom Cloud services: the huge data users produce with these devices are continuously posted to online services, which may require the modification of these data. Using cloud storage services together with computation-intensive infrastructure services can provide a suitable solution for these needs.
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