NetFuse: Short-circuiting traffic surges in the cloud

Modern cloud and data center platforms suffer failures and performance degradation from large traffic surges caused by both external (e.g., DDoS attacks) or internal (e.g., workload changes, operator errors, routing misconfigurations) factors. If not mitigated, traffic overload could have significant financial and availability implications for cloud providers. In this paper, we propose NetFuse, a mechanism to protect against traffic overload in OpenFlow-based data center networks. NetFuse is (1) scalable because it uses passively-collected OpenFlow control messages to detect active network flows; (2) accurate because it uses multi-dimensional flow aggregation to determine the right criteria to combine network flows that lead to overloading behavior; and (3) effective in limiting the damage of surges while not affecting the normal traffic because it uses a toxin-antitoxinlike mechanism to adaptively shape the rate of the flow based on application feedback. Experimental results on a real OpenFlow testbed show that NetFuse is effective in identifying and isolating misbehaving traffic with a small false positive rate (<; 9%).