For an application in volunteer computing environments, providing a reliable scheduling based on resource reliability evaluation is becoming increasingly important. Most existing reputation models used for reliabi...
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ISBN:
(纸本)9781424469444;9781424469451
For an application in volunteer computing environments, providing a reliable scheduling based on resource reliability evaluation is becoming increasingly important. Most existing reputation models used for reliability evaluation ignore the task runtime influence. Moreover, to optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (Gas) which can usually give better solutions. Hence, in this paper, we propose a look-ahead genetic algorithm (LAGA) to optimize both time and reliability for a workflow application. LAGA uses a novel evolution and evaluation mechanism: the evolution operators evolve the task-resource mapping for a scheduling solution, while the solution's task order is determined in the evaluation step using our proposed max-min strategy, which is the first two phase strategy that can work with Gas. The experiments show that LAGA can provide better solutions than existing list heuristics and evolve to better solutions more quickly than a traditional genetic algorithm.
Meeting distributed detection's requirements of accuracy, expansibility and portability, ontology is introduced to organize and systematize all intrusion detection behavior at any level, consequently reducing ambi...
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ISBN:
(纸本)9781424472352
Meeting distributed detection's requirements of accuracy, expansibility and portability, ontology is introduced to organize and systematize all intrusion detection behavior at any level, consequently reducing ambiguity and supporting share. The paper presented ontology-based intrusion detection model with advantages of hierarchical and cooperative models, and then the deduction of expert system was used to detect the complex attacks.
Based on software Ansys, the stress distribution of hydraulic pipe wall can be obtained by finite element analysis. The maximum von Mises stress on certain type of aircraft's hydraulic pipe wall which is easily ex...
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Based on load incremental approach, finite element model of inclined truss structure is established by using Ansys software. Then load factor, unit of effective strength and load increments is obtained by finite eleme...
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Blast furnace top gas recovery turbine unit, TRT for short, is an energy saving system. Turbine is the key equipment in TRT system. The normal operation of turbine is directly related to the capacity of TRT system and...
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Blast furnace top gas recovery turbine unit, TRT for short, is an energy saving system. Turbine is the key equipment in TRT system. The normal operation of turbine is directly related to the capacity of TRT system and the benefit of enterprises. In order to achieve the prediction of operation data of turbine, this paper firstly processed the turbine operation data collected from production scene with the soft and hard threshold compromise algorithm in decomposing the wavelet coefficient, and filtered the noise. Then, this paper established the prediction model of BP neural network, adjusted the structure of the neural network and trained it for the prediction results. The result shows that on the premise of filtering the noise with wavelet transform, the BP neural network can achieve the prediction of turbine operation data in TRT system effectively.
Because fuzzy control rules play an important part in determining the quality of a fuzzy controller, when the fuzzy control rules are extracted, the problem about how to get rid of the unreasonable or incompatible rul...
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ISBN:
(纸本)9781424446322
Because fuzzy control rules play an important part in determining the quality of a fuzzy controller, when the fuzzy control rules are extracted, the problem about how to get rid of the unreasonable or incompatible rules should be considered, when it is in the field where people is inexperienced. To better the quality of the fuzzy controller, a method of revising the rule which is incompatible with other rules or unreasonable is offered in the article. An instance is also offered to show the necessity and feasibility of the method in the article.
In order to improve the calculation accuracy of structural system failure probability, RBF neural networks which is based on the failure probability data calculated accurately can simulate into the four-dimensional sp...
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For structural analysis of fin radiator, on the condition of high-temperature convection load in the pipe and the low-temperature convection among fins, Considering the symmetry of the structure and then simplifying t...
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Finite element modeling of hyperstatic inclined truss structure is established by using Ansys software, and then the load coefficient can be obtained by finite element analysis. Base on the incremental load method, va...
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