QoS-Aware Packet Chunking Schemes for M2M Cloud Services

Anan Sawabe, K. Tsukamoto, Y. Oie
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引用次数: 6

Abstract

With the emergence of machine-to-machine (M2M) communications, huge numbers of devices have been connected and massive amounts of traffic are exchanged. However, since M2M applications typically generate packets of very small size, the number of incoming packets is becoming larger than the maximum number of packets that a router can handle per second, and network throughput is decreased. That is, network resources cannot be used efficiently. Therefore, the M2M cloud network operator makes chunks of these small packets, but a waiting time for chunking is inevitable, and thus application requirements may not be satisfied. This paper proposes new packet chunking schemes to both meet the QoS application requirement and improve the router's achievable throughput. The proposed schemes need multiple buffers and then classify the arrival packets to one buffer based on their acceptable waiting time. After that, the chunk packet is made based on an attribute of each packet to meet the application requirements. Through simulation experiments, we showed that the proposed scheme attains excellent performance even in cases of overloaded and imbalanced traffic.
面向M2M云服务的qos感知分组方案
随着机器对机器(M2M)通信的出现,大量的设备被连接起来,大量的流量被交换。但是,由于M2M应用程序通常生成非常小的数据包,因此传入数据包的数量将超过路由器每秒可以处理的最大数据包数量,从而降低了网络吞吐量。即网络资源不能得到有效利用。因此,M2M云网络运营商将这些小数据包进行分组,但分组的等待时间不可避免,因此可能无法满足应用需求。为了满足QoS应用需求和提高路由器的可实现吞吐量,本文提出了新的分组方案。提出的方案需要多个缓冲区,然后根据可接受的等待时间将到达的数据包分类到一个缓冲区。然后,根据每个数据包的属性生成块数据包,以满足应用程序的需求。通过仿真实验,我们证明了该方案即使在过载和不均衡的情况下也能取得优异的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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