Browsing by Author "Su, Yu-Lun"

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FASIC: A Fast-recovery, Adaptively Spanning In-band Control Plane in Software-Defined Network
(2017-01-01)
Su, Yu-Lun
;
Wang, I-Chih
;
Hsu, Yao-Tsung
;
Wen, Charles H. -P.
;
電機工程學系
To operate a reliable SDN network, the control plane should be robust in order to guarantee the correctness of traffic forwarding. For in-band control, the traffic flows along with the data plane without a dedicated control network. Thus, the failure of data plane may isolate the switches from control plane and lead to erroneous forwarding behavior. In this paper, we design a control plane, FASIC, which can bootstrap the control network autonomously and adaptively span the control plane with the control-link switching mechanism. By implementing our design with Open vSwitch (OVS), OpenDayLight OVSDB Integration (ODL-OVSDB) and Floodlight software, we demonstrate that FASIC is an in-band control solution which is feasible under support of the available SDN and OpenFlow resources. Compared with standard OVS, the experimental result shows that FASIC reduces 87.83% of control plane downtime under hard link failure and incurs zero downtime under congestion. The preemptive control-link switching can prevent the control-link failure when it suffers from heavy traffic load.
TVM: Tabular VM Migration for Reducing Hop Violations of Service Chains in Cloud Datacenters
(2017-01-01)
Wu, Ying-Feng
;
Su, Yu-Lun
;
Wen, Charles H-P
;
電機工程學系
;
Department of Electrical and Computer Engineering
Network Function Virtualization is a recent and significant development applied in cloud datacenters, which can help service providers manage network services more flexibly and economically than using middle-boxes. User requests may demand different numbers of services in a chain, where the related flows can be directed to different physical machines (PMs) hosting required virtual network functions (VNFs) in a designated order. Sometimes, with the limited resources in current PMs, the deployment of service chains may result in great hop counts and cause hop (latency) violations against the service level agreements (SLAs) of user requests. Therefore, we propose a dynamic service-chain management approach called Tabular VM Migration (TVM) to reduce hop violations of service chains in cloud datacenters. Different from other VM management policies, TVM considers the order of a set of VMs in a service chain and migrates key VMs which may cause hop violations onto the selected PMs. Thus, hop violations are reduced with few migrations. Simulation results indicate that TVM performs better than other common VM management policies, and reduce at most 16.68% of total number of hop violations induced by a static deployment approach (SOVWin).