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Titlebook: Web Engineering; 13th International C Florian Daniel,Peter Dolog,Qing Li Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013

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Stefania Leone,Alexandre de Spindler,Moira C. Norrie,Dennis McLeod In this paper, we devise the ., which allows to express specific applications for arbitrary query languages (e.g. XQuery, SQL) and node topologies, and a wide range of data types, query response modes (e.g. Routed, Direct and Referral Response), neighbor selection policies, pipelining characteristi
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Patrick Gaubatz,Waldemar Hummer,Uwe Zdun,Mark Strembeckd clusters, to an intranet grid composed of approxi- matively 300 desktop machines. Performances compete with a previous existing version of the application, written in Fortran MPI. The proposed object-oriented approach is more generic and features reusability (the component-oriented version is unde
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Zahra Behfarshad,Ali Mesbahlows to control the state of program execution at application-level without involving the operating system stack. This approach makes the proposed infrastructure a flexible and easily programmable middleware to experiment different scheduling policies in service-oriented scenarios.
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Sudhir Agarwal,Martin Junghans specification and management of SLA mappings. Using VieSLAF users may specify, manage, and apply SLA mapping bridging the gap between non-matching SLA templates. Moreover, based on the predefined learning functions and considering accumulated SLA mappings, domain specific public SLA templates can b
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Javier Luis Cánovas Izquierdo,Jordi Cabot to relax the assumptions on jobs upon which this competitiveness relies. In addition to this worst case analysis, we provide an in-depth empirical analysis of the . of the original mechanism and its preemptive extension based on real workload traces. Our empirical findings indicate that introducing
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Dejan Kovachev,Dominik Renzel,Petru Nicolaescu,Ralf Klammalts than diffusive repartitioning schemes. We also demonstrate that a coarse starting mesh produces high quality load balancing, at a fraction of the cost required for a fine initial mesh. Finally, we show that the data redistribution overhead can be significantly reduced by applying our heuristic p
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Oscar Diaz,Itziar Otaduy,Gorka Puenteey make good use of parallelism and have better support for clustering (parallel execution on multiple clustered VMs is faster than on a single VM with equal resources) due to data model, read-mostly data optimizations and hypervisor-level optimizations; and (4) analysis of the architectural and sys
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