论文标题
通过嵌入式计算服务在网络中进行优化
On Routing Optimization in Networks with Embedded Computational Services
论文作者
论文摘要
现代通信网络越来越多地配备了网络内计算功能和服务。与传统路由相比，此类网络中的路由要复杂得多。流程的合法途径不仅需要具有足够的通信和计算资源，而且还必须符合各种特定于应用程序的路由约束。本文介绍了一项有关嵌入式计算服务网络中路由优化问题的全面研究。我们开发了一组路由优化模型，并得出了用于不同计算方案的低复杂性启发式路由算法。对于动态需求，我们还开发了具有性能保证的在线路由算法。通过对新兴拓扑应用程序的评估，我们证明我们的模型可以灵活地定制，以满足不同计算应用程序的各种路由要求。我们提出的启发式算法极大地超过了基线算法，并且可以在各种情况下实现近距离的性能。
Modern communication networks are increasingly equipped with in-network computational capabilities and services. Routing in such networks is significantly more complicated than the traditional routing. A legitimate route for a flow not only needs to have enough communication and computation resources, but also has to conform to various application-specific routing constraints. This paper presents a comprehensive study on routing optimization problems in networks with embedded computational services. We develop a set of routing optimization models and derive low-complexity heuristic routing algorithms for diverse computation scenarios. For dynamic demands, we also develop an online routing algorithm with performance guarantees. Through evaluations over emerging applications on real topologies, we demonstrate that our models can be flexibly customized to meet the diverse routing requirements of different computation applications. Our proposed heuristic algorithms significantly outperform baseline algorithms and can achieve close-to-optimal performance in various scenarios.
