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Joint Flow Control and Processor Allocation for Task Scheduling in Grid over OBS Networks

机译:OBS网络网格中的任务调度的联合流量控制和处理器分配

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This paper presents a model for the joint design of flow control and processor allocation for task scheduling in grid over optical burst switching (GOBS) networks. The GOBS resource allocation is formulated as a utility maximization problem with constraints that arise from the resource and user preferences. The optimization problem is decomposed into two parts: flow control for burst length adjustment and processor allocation for computational capacity adjustment. The parameters from the resource layer are abstracted and provided to a cross-layer optimizer to maximize user's utility function. The performance of the algorithm is evaluated through simulations.
机译:本文介绍了光学突发切换(GOBS)网络在网格中的流量控制和处理器分配联合设计的模型。 GOBS资源分配作为从资源和用户偏好出现的约束的实用程序最大化问题。优化问题被分解成两部分:用于计算能力调整的突发长度调整和处理器分配的流量控制。来自资源层的参数被抽象并提供给横梁优化器,以最大化用户的实用程序函数。通过模拟评估算法的性能。

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