论文标题
基于PON的雾计算连接性
PON-based connectivity for fog computing
论文作者
论文摘要
雾计算在满足延迟敏感应用程序（例如连接的车辆，智能电网和执行器网络）的要求方面起着至关重要的作用，该应用程序通过将数据处理接近最终用户而移动。被动光网（PON）被广泛用于访问网络，以减少功耗，同时在灵活设计下为最终用户提供高带宽。通常，访问网络中的分布式雾计算单元具有有限的处理和存储能力，根据瞬时需求，可以使用或过度使用。为了扩展访问网络中的可用容量，本文提出了基于支持SDN的PON的雾计算体系结构，以实现分布式雾计算服务器之间的完全连接。功耗结果表明，与基于具有相同数量的服务器数量的遗产雾计算相比，该体系结构可以实现多达80％的功率节省。
Fog computing plays a crucial role in satisfying the requirements of delay-sensitive applications such as connected vehicles, smart grids, and actuator networks by moving data processing close to end users. Passive optical networks (PONs) are widely used in access networks to reduce the power consumption while providing high bandwidth to end users under flexible designs. Typically, distributed fog computing units in access networks have limited processing and storage capacities that can be under or over utilized depending on instantaneous demands. To extend the available capacity in access network, this paper proposes a fog computing architecture based on SDN-enabled PONs to achieve full connectivity among distributed fog computing servers. The power consumption results show that this architecture can achieve up to about 80% power savings in comparison to legacy fog computing based on spine and leaf data centers with the same number of servers.
