Performance Models and Risk Management in Communications Systems
Performance Models and Risk Management in Communications Systems
复制标题
通信系统中的性能模型和风险管理
DOI：
10.1007/978-1-4419-0534-5_10
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Ortuño F
中科院分区：
文献类型：
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作者：
Ortuño F
提出了一种基于对等技术的网格计算体系结构的分布式资源交易模型，其中每个节点可以通过向其最近的邻居发送消息，在网络中的任何地方出售或购买计算服务。平均场近似表明，它是可能的市场解决一个稳定的价格和它的数值预测进行比较，对多代理人模拟，表现出良好的一致性。该系统的可扩展性和每个节点的平均负载优于中央服务器系统。还开发了一种能适应不同参数的自适应系统。在证明了分布式系统的可行性之后，讨论了市场上的参与者如何利用该系统的问题。由交易代理人创建的市场被建模为马尔可夫链，并与模拟的市场状态进行比较。最后，代理商可以在计算能力和优化他们的决策的方式被认为是使用马尔可夫决策过程。
A distributed resource-trading model is proposed for users of a Grid computing architecture based on peer-to-peer technology, in which each node can either sell or buy computing services anywhere in the network by sending messages to its nearest neighbours. A mean field approximation suggests that it is possible for the market to settle to a stable price and its numerical predictions are compared against a multi-agent simulation, showing good agreement. The proposed sys- tem is then demonstrated to outperform a central server system in terms of scalability and average load per node. An adaptive sys- tem that can adjust to different parameters is also developed. Having shown that the distributed system is feasible, the question of how par- ticipants in the market can make use of the system is addressed. The market created by the trading agents is modelled as a Markov Chain, which is compared with the market state of the simulation. Finally, ways in which agents can trade in computing power and optimise their decisions are considered using Markov Decision Processes.