We consider the HPC challenge of fault tolerance in the context of plasma physics simulations using the sparse grid combination technique. In the combination technique formalism, one breaks down a single, highly expen...
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This book represents the combined peer-reviewed proceedings of the Sixth International Symposium on Intelligent distributed Computing -- IDC~2012, of the International workshop on Agents for Cloud -- A4C~2012 and of t...
ISBN:
(纸本)9783642439346
This book represents the combined peer-reviewed proceedings of the Sixth International Symposium on Intelligent distributed Computing -- IDC~2012, of the International workshop on Agents for Cloud -- A4C~2012 and of the Fourth International workshop on Multi-Agent Systems Technology and Semantics -- MASTS~2012. All the events were held in Calabria, Italy during September 24-26, *** 37 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomousdistributed systems, agent programming, ambient assistedliving systems, business process modeling and verification, cloudcomputing, 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.
The proceedings contain 18 papers. The topics discussed include: coordinated description of algorithms within the framework of algebraic vehicle;NP-hardness of collective pursuiting optimization problems;formalized de...
The proceedings contain 18 papers. The topics discussed include: coordinated description of algorithms within the framework of algebraic vehicle;NP-hardness of collective pursuiting optimization problems;formalized designing and generation of parallel program for numerical weather forecasting task;block algorithm for householder transformations for hybrid architecture computers;regression testing: techniques and future research directions;static method of consistency and completeness checking in formal model of distributed software systems;a formal semantics of aggregate operations of multiset table algebra;and methods of simulation of behavior of agents in multi-agent system 'navigation'.
Individual-based hybrid modelling of spatially distributed systems is usually expensive. Here, we consider a hybrid system in which mobile agents spread over the space and interact with each other when in close proxim...
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This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter(ATKF) is designed with two reduce-order filters ...
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ISBN:
(纸本)9781479947249
This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter(ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter(DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.
In this work we propose novel algorithms for storing and evaluating sparse grid functions, operating on regular (not spatially adaptive), yet potentially dimensionally adaptive grid types. Besides regular sparse grids...
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This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters...
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This paper is concerned with the problem of tracking target with multiple sensors in the presence of unknown dynamic bias. A suboptimal adaptive two-stage Kalman filter (ATKF) is designed with two reduce-order filters to estimate the target state and the dynamic bias in parallel when the bias model information is incomplete. Moreover, a distributed adaptive two-stage Kalman filter (DATKF) is developed for multi-sensor system based on the ATKF. The effectiveness of the ATKF and the DATKF are illustrated by the Monte Carlo simulation results.
The paper is devoted to the analysis of the network protection mechanism "nervous network system" based on the bio-inspired metaphor. Packet-level simulation is proposed in order to investigate the "ner...
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ISBN:
(纸本)9780769549392;9781467353212
The paper is devoted to the analysis of the network protection mechanism "nervous network system" based on the bio-inspired metaphor. Packet-level simulation is proposed in order to investigate the "nervous network system" protection mechanism. We describe the architecture of the protection system based on the given mechanism, its operation algorithms and present results of the experiments. Using obtained results the efficiency of the protection mechanism "nervous network system" against infrastructure attacks is analyzed.
In this paper we investigate the deployment of Fast Flow applications on multi-core virtual platforms. The overhead introduced by the virtual environment has been measured using a well-known application benchmark both...
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ISBN:
(纸本)9780956494467
In this paper we investigate the deployment of Fast Flow applications on multi-core virtual platforms. The overhead introduced by the virtual environment has been measured using a well-known application benchmark both in the sequential and in the Fast Flow parallel setting. The overhead introduced for both the sequential and the parallel executions of CPU and memory-intensive applicatiotis is in the range of 2 - 30%, while the execution speedup is almost preserved. Additionally, we have ported the FastFlow benchmark to a cloud-based distributed environment in which a task-intensive application has been tested and the performance compared with the corresponding run on a smaller cluster of multi-core machines without virtualisation. From a parallel programming perspective, we have demonstrated how a unique programming framework based on the structured parallel programming paradigm can cope with very different kind of target architectures without any (or minimal) code intervention.
One of the objectives of the decade for High-Performance Computing systems is to reach the exascale level of computing power before 2018, hence this will require strong efforts in their design. In that sense, High-spe...
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ISBN:
(纸本)9780769549392
One of the objectives of the decade for High-Performance Computing systems is to reach the exascale level of computing power before 2018, hence this will require strong efforts in their design. In that sense, High-speed low-latency interconnection networks are essential elements for exascale HPC systems. Indeed, the performance of the whole system depends on that of the interconnection network. In order to develop and test new techniques, suited to exascale HPC systems, software-based networks simulators are commonly used. As developing a network simulator from scratch is a difficult task, several platforms help the developers, OMNeT++ being one of the most popular. In this paper, we propose a new generic network simulator, exploiting the features of the OMNeT++ framework. The proposed tool is the first step to model HPC high-performance interconnection networks of exascale HPC systems: the message switching layer, routing and arbitration algorithms and buffer organizations have been modeled according to the current and expected characteristics of these systems. In addition, the tool has been designed so that it is possible to simulate networks of large size. simulation results, validated against real systems, show the accuracy of the model.
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