Mobile Networks and Management by Jiankun Hu Ibrahim Khalil Zahir Tari & Sheng Wen

Author:Jiankun Hu, Ibrahim Khalil, Zahir Tari & Sheng Wen
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

2.2 Queuing Analysis for Power Aware Approaches

Queuing theory is a deeply established analysis that helps to predict the workloads, the performance change, the traffic volumes and scenarios. Few efforts use the queuing models in data centers including:

Task Managing Based on Vacation M/G/1 Queuing Model. [8] where the packet scheduling in a data center using an M/G/1 queuing analyze is modeled. The traffic is consolidated into the minimum set of servers and the others are switched off until the receiving of packets. Sejourn time of the packets in the system (time passed in the queue) is calculated and proven to be acceptable while gaining a large amount of energy. Still, since the modeled queue has an unlimited length, real data center scenarios can not be well studied (e.g. congestion, drop rate).

Task Managing Based on Vacation M/M/n Queuing Model. [12] proposes a threshold oriented model to reduce the energy consumed by servers in three-tier data centers. Specifically, authors fix an initial number of active servers and power off the others. Then, they keep examining the arriving jobs in the queue. If the queue size reaches a certain threshold, some extra servers must be activated. The optimal trade-off between the power saving and waiting time in the queue is determined by the M/M/n analytical model.

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