The proceedings contain 24 papers. The topics discussed include: realising parallel and distributedsimulation in industry: a roadmap;distribution of random streams in stochastic models in the age of multi-core and ma...
ISBN:
(纸本)9781457713668
The proceedings contain 24 papers. The topics discussed include: realising parallel and distributedsimulation in industry: a roadmap;distribution of random streams in stochastic models in the age of multi-core and manycore processors;parallel discrete event N-body dynamics;modeling billion-node torus networks using massively parallel discrete-event simulation;empirical study on entity interaction graph of large-scale parallelsimulations;collaborative interest management for peer-to-peer networked virtual environment;dead reckoning-based update scheduling against message loss for improving consistency in DVEs;trading computation time for synchronization time in spatial distributedsimulation;framework for simulation of hybrid systems: interoperation of discrete event and continuous simulators using HLA/RTI;an analysis of the cost of validating semantic composability;and fairness verification of BOM-based composed models using petri nets.
A LaTIn-based mixed domain decomposition method for the study of the interactions between delaminations and buckling in composites is here presented. The need for the accurate prediction of the quasi-static response o...
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ISBN:
(纸本)9781905088423
A LaTIn-based mixed domain decomposition method for the study of the interactions between delaminations and buckling in composites is here presented. The need for the accurate prediction of the quasi-static response of industrial laminate plates requires using fine descriptions of the structure, especially when nonlinearities such as debonding and large displacements are involved. Hence, the computation of these structures results in very large numerical problems. In this paper, a nonlinear finite-element formulation together with a parallel iterative scheme is used for the computation of a 3D mesoscale model. The extension of the multiscale strategy to deal with both delamination and buckling is not straightforward, recent improvements to ensure the scalability of the method are presented.
We have previously documented the on-going work in the EUFORIA project to parallelise and optimise European fusion simulation codes, see [1]. This involves working with a wide range of codes to try and address any per...
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ISBN:
(纸本)9780769543284
We have previously documented the on-going work in the EUFORIA project to parallelise and optimise European fusion simulation codes, see [1]. This involves working with a wide range of codes to try and address any performance and scaling issues that these codes have. However, as no two simulation codes are exactly the same, it is very hard to apply exactly the same approach to optimising a disparate range of codes. Indeed, it can be seen from [1] that the codes investigated range in terms of performance and ability from well-optimised, highly parallelised codes, to serial or poorly performing codes. After analysing, optimising, and parallelising a range of codes it is, actually, possible to discern a number of distinct optimisation techniques or approaches/strategies that can be used to improve the performance or scaling of a parallelsimulation code. This paper outlines the distinct approaches that we have identified, highlighting their benefits and drawbacks, giving an overview of the type of work that is often attempted for fusion simulation code optimisation.
The inclusion of reconfigurable processors in distributed grid systems promises to offer increased performance without compromising flexibility. Consequently, these large-scale distributed grid systems (such as Tera-G...
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Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and virtualization. Managing such heterogeneous environments requires...
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ISBN:
(纸本)9780769543284
Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business processes and virtualization. Managing such heterogeneous environments requires sophisticated interoperation of adaptive coordinating components. In this paper we introduce an SLA-aware Service Virtualization architecture that provides non-functional guarantees in the form of Service Level Agreements and consists of a three-layered infrastructure including agreement negotiation, service brokering and on demand deployment. In order to avoid costly SLA violations, flexible and adaptive SLA attainment strategies are used with a failure propagation approach. We demonstrate the advantages of our proposed solution with a biochemical case study in a Cloud simulation environment.
Predicting and analyzing runtime performance characteristics is a vital step in the development process of parallel discrete event simulations. For instance, model developers need to identify and eliminate performance...
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Increasingly complex systems need parallelized simulation engines. In the context of SystemC simulation, existing proposals require predicting communication in the simulated system. However, this is often unpredictabl...
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Networks for the smart grids are characterized by millions of sensor nodes exchanging information about the status of the grid. This information exchange must be realized reliably and efficiently due to the mission cr...
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This book represents the combined peer-reviewed proceedings of the Fifth International Symposium on Intelligent distributed Computing -- IDC 2011 and of the Third International workshop on Multi-Agent Systems Technolo...
ISBN:
(纸本)9783642240126
This book represents the combined peer-reviewed proceedings of the Fifth International Symposium on Intelligent distributed Computing -- IDC 2011 and of the Third International workshop on Multi-Agent Systems Technology and Semantics -- MASTS 2011. Both events were held in Delft, The Netherlands during October 5-7, 2011. The 33 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomous distributed systems, agent programming, ambient assisted living systems, business process modeling and verification, cloud computing, coalition formation, decision support systems, distributed optimization and constraint satisfaction, gesture recognition, intelligent energy management in WSNs, intelligent logistics, machine learning, mobile agents, parallel and distributed computational intelligence, parallel evolutionary computing, trust metrics and security, scheduling in distributed heterogenous computing environments, semantic Web service composition, social simulation, and software agents for WSNs.
Particle swarm optimization (PSO) is a powerful technique for computer aided prediction of proteins' three-dimensional structure. In this work, employing an all-atom force field we demonstrate the efficiency of th...
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