With the rapid growth of the Internet traffic and the intensity of online transactions taking place, it is expected that the current routing needs careful modifications and smart innovations to ensure effective and reliable end-to-end packet delivery. This involves new feature developments for handling traffic with reduced latency to tackle routing scalability issues in a more secure way and to offer new services at cheaper cost. Considering the fact that prices of DRAM (Dynamic Random Access Memory) or TCAM (Ternary Content-Addressable Memory) in legacy routers are not necessarily decreasing at a desired pace, cloud computing can be a great solution to manage the increasing computation and memory complexity of routing functions in a centralized manner with optimized expenses. Such cloud integration to routing is becoming plausible as cloud providers now offer various pricing schemes and provide large-scale computing infrastructure to meet the users’ choice. Focusing on the attributes associated with existing routing cost models and by exploring a hybrid approach to SDN, we compare recent trends in cloud pricing (for both storage and service) to evaluate whether it would be economically beneficial to integrate cloud services with legacy routing for improved cost-efficiency.

中文翻译：

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面向广域SDN的云辅助路由的经济分析

随着互联网流量的快速增长和在线交易的强度，预计当前的路由需要仔细修改和智能创新，以确保有效和可靠的端到端数据包传递。这涉及新功能的开发，以减少延迟处理流量，以更安全的方式解决路由可扩展性问题，并以更便宜的成本提供新服务。考虑到传统路由器中 DRAM（动态随机存取存储器）或 TCAM（三元内容寻址存储器）的价格不一定以理想的速度下降，云计算可以成为管理不断增加的计算和内存复杂性的绝佳解决方案。以优化费用的集中方式路由功能。随着云供应商现在提供各种定价方案并提供大规模计算基础设施来满足用户的选择，这种与路由的云集成变得合理。关注与现有路由成本模型相关的属性，并通过探索 SDN 的混合方法，我们比较了云定价（存储和服务）的最新趋势，以评估将云服务与传统路由集成以改进成本效益。