An Economic Analysis of Cloud-Assisted Routing for Wider Area SDN
An Economic Analysis of Cloud-Assisted Routing for Wider Area SDN
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DOI：
10.1109/tnsm.2019.2947030
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发表时间：
2020-03
影响因子：
5.3
通讯作者：
P. K. Dey;M. Yuksel
中科院分区：
文献类型：
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作者：
P. K. Dey;M. Yuksel
随着互联网流量的快速增长和在线交易的强度，预计目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输。这涉及到以更低的延迟处理流量的新功能开发，以更安全的方式解决路由可扩展性问题，并以更低的成本提供新服务。考虑到传统路由器中的DRAM（动态随机存取存储器）或TCAM（三进制内容可寻址存储器）的价格不一定以期望的速度下降的事实，云计算可以是以集中的方式管理路由功能的日益增加的计算和存储器复杂性的很好的解决方案，具有优化的费用。这种云集成到路由变得似乎可行，因为云提供商现在提供各种定价方案并提供大规模计算基础设施以满足用户的选择。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提高成本效益是否具有经济效益。
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.