移动云计算中延迟敏感应用的资源分配

Omar Chakroun, S. Cherkaoui
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引用次数: 9

摘要

在这项工作中,我们提出了一种基于李雅普诺夫优化的随机网络优化移动云计算(MCC)资源分配的方法。该方法旨在减少用户请求经历的延迟,同时增强资源可用性。我们使用李雅普诺夫漂移加惩罚优化来确保设计稳定性并最小化延迟代价函数。我们在不同的收费条件下进行了大量的模拟,以证明该方法在处理用户请求时具有较低延迟的有效性。仿真结果表明,该方法在保证资源池利用率的同时,提高了经验延迟。
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Resource Allocation for Delay Sensitive Applications in Mobile Cloud Computing
In this work, we propose an approach for optimizing Mobile Cloud Computing (MCC) resources allocation using stochastic networks optimization based on Lyapunov optimization. The approach targets reducing users' requests experienced delay while enhancing resource availability. We use Lyapunov drift plus penalty optimization to ensure design stability and to minimise the delay cost function. We perform extensive simulations under different charge conditions in order to prove the effectiveness of the approach in handling user requests with lower delays. Simulation results show that the approach enhances the experienced delay while ensuring a good utilization of resource pools.
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