5.1. Concluding Remarks
In this work a wireless DCN architecture is shown to perform as well as a fully wired ThreeTier DCN. The 12-Channel wireless DCN is able outperform the 1/10 wired network in terms of the number of completed demands and in terms of the achievable average throughput. Furthermore, the 12-Channel wireless DCN demonstrates a 7% lower average maximum power consumption and a 15% lower typical average power consumption when compared to the wired DCNs. In summary, the wireless DCN architecture is proven to be feasible as a data center network alternative with additional performance and power consumption advantages.
Wireless DCNs alleviate many modern networking challenges, however they are not without their own set of challenges. Further research and investigation is necessary to solve these additional limitations. Nevertheless, wireless 60 GHz DCNs show great promise in replacing burdensome cabling issues and allude to significant performance and energy savings.
5.2. Future Work
This work provides an in depth analysis of one type of wireless data canter architecture, however there are many aspects of this approach that require further analysis. One limitation of this investigation is the maximum physical size of the data center. The layout is restricted in order to facilitate one-hop communication between source and destination
To better understand the influence of different types of network traffic on the DCN, additional traffic data sets are needed. A suite of various application workloads for different network sizes would contribute towards a more diverse performance analysis. Data sets of actual network traffic would form a more realistic comparison of how the wireless DCN would perform.
Another area where this work could be extended is the ability to perform dynamic wireless bandwidth allocation to better accommodate network demand requirements. By only providing a fixed amount of bandwidth to each wireless link, some links go underutilized, while others are fully utilized and require additional bandwidth. Providing a dynamic mechanism to the bandwidth allocation of each link may better address the network demands. Further research is required to develop such an approach.
Alternative link establishment mechanisms are another area where this work could improve. The greedy algorithm developed in this work is shown to be a non-optimal approach. Other scheduling algorithms may prove to be better suited to finding the best set of links to establish at any given time. Stochastic approaches may provide a better balance of time complexity and algorithm performance. Additional work is needed to evaluate several link establishment approaches.
The wireless DCN architecture proposed in this work provides a foundation for numerous future works. Wireless DCN architectures bring with them a number of additional design challenges, however the potential benefits in terms of power consumption and performance are promising. This work demonstrates the advantages of one potential DCN architecture and lays the groundwork for future wireless DCN works.
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