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Resource management using dynamical load prediction and multiprocessor cooperation

机译:资源管理使用动态负载预测和多处理器合作

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Resource management is a complicated problem in multiprocessor system. When tasks with real-time characteristic are scheduled on processor resource constraints such as CPU and memory have to be met, however, it is usually difficult for a system to ensure load balancing and resource constraints simultaneity. In order to handle this problem lots of algorithms have been brought forward. In this paper, a load balancing policy is proposed to manage and integrate processing resource of multiprocessor system which is used to send packets of packets flows on time. The policy dynamically predicts the wait time before a packet to be processed based on the load of the processor and the timestamp of the packet, and decides the migration of packet between processors to guarantee that the packets can be processed before deadline. This policy can not only increase the multiprocessor utilization but also enhance the capacity of the system against the jitter of load by packets migration between the processors as well. We use simulation experiment to show that the policy can reduce the possibility of packets delay and increase the concurrency of flows that the system can serve.1
机译:资源管理是多处理器系统中的复杂问题。然而,当需要满足诸如CPU和存储器的处理器资源约束上时,必须满足具有实时特性的任务,但是,系统通常难以确保负载平衡和同时的资源约束。为了处理这个问题,已经提出了许多算法。在本文中,提出了一种负载平衡策略来管理和集成多处理器系统的处理资源,该系统用于按时发送数据包流程。该策略在基于处理器的负载和分组的时间戳之前动态地预测要处理的数据包,并决定在处理器之间的分组迁移,以保证在截止日期之前可以处理分组。此策略不仅可以提高多处理器利用率,而且还可以通过处理器之间的数据包迁移来增强系统对负载抖动的容量。我们使用仿真实验表明,策略可以减少数据包延迟的可能性,并增加系统可以服务的流量的并发性。 1

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