December 12, 2017

Supporting Diverse Dynamic Intent-based Policies using Janus

International Conference on emerging Networking EXperiments and Technologies (CoNEXT)

By: Anubhavnidhi Abhashkumar, Joon-Myung Kang, Sujata Banerjee, Aditya Akella, Ying Zhang, Wenfei Wu

Abstract

Existing network policy abstractions handle basic group based reachability and access control list based security policies. However, QoS policies as well as dynamic policies are also important and not representing them in the high level policy abstraction poses serious limitations. At the same time, efficiently configuring and composing group based QoS and dynamic policies present significant technical challenges, such as (a) maintaining group granularity during configuration, (b) dealing with network-bandwidth contention among policies from distinct writers and (c) dealing with multiple path changes corresponding to dynamically changing policies, group membership and end-point mobility. In this paper we propose Janus, a system which makes two major contributions. First, we extend the prior policy graph abstraction model to represent complex QoS and dynamic stateful/temporal policies. Second, we convert the policy configuration problem into an optimization problem with the goal of maximizing the number of satisfied and configured policies, and minimizing the number of path changes under dynamic environments. To solve this, Janus presents several novel heuristic algorithms. We evaluate our system using a diverse set of bandwidth policies and network topologies. Our experiments demonstrate that Janus can achieve near-optimal solutions in a reasonable amount of time.