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| Research on incentive penalty model in computational grids |
| LIU Duan-yang1 , CAO Yan-long2 |
1.College of Computer Science, Zhejiang University of Technology, Hangzhou 310032, China；
2. Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China |
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Abstract The penalty policies on incentives were researched to restrict malicious and dishonest participants in computational grids,ensure incentives effectiveness, and satisfy various penalty needs of grids. Based on analysis of the old simple method, this work introduced power functions and proposed a new flexible penalty model, which could flexibly modulate a parameter, and agree with different penalty needs and dynamic computing environment. Furthermore, this model was introduced into the mechanism design theory, and a penalty principal was defined according to the volunteer participation condition, based on which a specific grid scheduling problem was resolved. Simulation experiments demonstrated the flexibility of power functions in different penalty cases, and proved the models correctness and effectiveness．
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Published: 01 September 2010
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计算网格中激励惩罚模型的研究
在计算网格中,为了约束不诚实的参与者,保证激励的有效性,满足计算网格多样性的惩罚需求,对激励的惩罚问题进行了深入研究.在分析原有简单方法的基础上,引入了幂函数模型,提出了新的具有高灵活性的惩罚模型.新模型可以灵活地调整参数,适应不同的惩罚需求和动态变化的计算环境.同时,在机制设计理论中,引入了这个惩罚模型,并根据志愿参与条件,定义了惩罚原则,并采用该惩罚模型和惩罚原则,解决了一个实际的网格调度问题.通过模拟实验和仿真结果,阐述了幂函数惩罚模型适合各类不同惩罚需求的灵活性,从而验证模型的正确性和有效性.
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