Balancing flow table occupancy and link utilization in software-defined networks

Autor: Ruoyan Liu, H. Jonathan Chao, Kuan yin Chen, Andrey Gushchin, Yang Xu, Anwar I. Walid, Zehua Guo
Rok vydání: 2018
Předmět:
Zdroj: Future Generation Computer Systems. 89:213-223
ISSN: 0167-739X
Popis: Software-Defined Networking (SDN) employs a centralized control with a global network view and provides great opportunities to improve network performance. However, due to the limitation of flow-table space at the switches and unbalanced traffic allocation on links, an SDN may suffer from flow-table overflow and inefficient bandwidth allocation among flows, increasing the controller’s burden and degrading network performance. In this paper, we present a dynamic routing scheme named DIFF that differentiates flows based on their impact on network resource and adaptively selects routing paths for them to mitigate the problems of flow-table overflow and inefficient bandwidth allocation. DIFF pre-generates a set of paths for each pair of source–destination edge switches and intelligently selects the paths from the pre-generated path-sets for new flows with an objective to balance flow-table utilizations. It adaptively reroutes some elephant flows to achieve maximum throughput under the rule of max–min fair bandwidth allocation. Simulation results show that DIFF simultaneously balances the flow-table and link utilizations, reduces the controller’s workload and packet delay, while increasing network throughput, compared with baseline schemes.
Databáze: OpenAIRE