New PDF release: Architecture of Computing Systems – ARCS 2014: 27th

By Erik Maehle, Kay Römer, Wolfgang Karl, Eduardo Tovar

ISBN-10: 3319048902

ISBN-13: 9783319048901

ISBN-10: 3319048910

ISBN-13: 9783319048918

This e-book constitutes the lawsuits of the twenty seventh foreign convention on structure of Computing platforms, ARCS 2014, held in Lubeck, Germany, in February 2014. The 20 papers offered during this quantity have been conscientiously reviewed and chosen from forty four submissions. they're geared up in topical sections named: parallelization: functions and techniques self-organization and belief approach layout method layout and sensor structures and virtualization: I/O, reminiscence, cloud dependability: security, protection, and reliability points.

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Extra resources for Architecture of Computing Systems – ARCS 2014: 27th International Conference, Lübeck, Germany, February 25-28, 2014. Proceedings

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Denovo: Rethinking the memory hierarchy for disciplined parallelism. In: Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT), pp. 155–166 (October 2011) 8. : Why STM can be more than a research toy. Communications of the ACM 54(4), 70–77 (2011) 9. : On Bounding Response Times under Software Transactional Memory in Distributed Multiprocessor Real-Time Systems. In: Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE 2009), pp.

6 ratios. 75. In each task set, all tasks executed one transaction, and 50% were update transactions. The sequential execution time of each transaction CT was 20% of the ideal WCET (without abort overhead) of the task. Each transaction could access, at most, 5 shared TM objects. In each simulation, we recorded for each task the maximum number of aborts experienced in a job, the total number of aborts, the number of deadlines missed and the total execution time. For every task set, we simulated 106 time units under P-EDF, NPUC and NPDA.

Bittencourt et al. [13] presented an approach to schedule processes composed of dependent services onto a grid. This approach is implemented in the Xavantes grid middleware and arranges the services in groups. It has the drawback of a central service distribution instance and therefore a single point of failure can occur. Trumler et al. [14] described a scheduling algorithm for distributing services onto nodes based on social behavior. It is implemented in the OCμ middleware. In their model, nodes can calculate a QoS for the services to decide which service is assigned to which node.

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Architecture of Computing Systems – ARCS 2014: 27th International Conference, Lübeck, Germany, February 25-28, 2014. Proceedings by Erik Maehle, Kay Römer, Wolfgang Karl, Eduardo Tovar


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