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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Continuous Network Update With Consistency Guaranteed in Software-Defined Networks
AU - He, X.
AU - Zheng, J.
AU - Dai, H.
AU - Zhang, C.
AU - Li, G.
AU - Dou, W.
AU - Rafique, W.
AU - Ni, Q.
AU - Chen, G.
N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2022/6/30
Y1 - 2022/6/30
N2 - Network update enables Software-Defined Networks (SDNs) to optimize the data plane performance. The single update focuses on processing one update event at a time, i.e., updating a set of flows from their initial routes to target routes, but it fails to handle continuously arriving update events in time incurred by high-frequency network changes. On the contrary, the continuous update proposed in ``Update Algebra'' can handle multiple update events concurrently and respond to the network condition changes at all times. However, ``Update Algebra'' only guarantees the blackhole-free and loop-free update. The congestion-free property cannot be respected. In this paper, we propose Coeus to achieve the continuous update while maintaining consistency, i.e., ensuring the blackhole-free, loop-free, and congestion-free properties simultaneously. Firstly, we establish the continuous update model based on the update operations in update events. With the update model, we dynamically reconstruct the operation dependency graph (ODG) to capture the relationship between update operations and link utilization variations. Then, we develop a composition algorithm to eliminate redundant operations in update events. To further speed up the update procedure, we present a partition algorithm to split the operation nodes of the ODG into a series of suboperation nodes that can be executed independently. The partition algorithm is proven to be optimal. Finally, extensive evaluations show that Coeus can improve the update speed by at least 179% and reduce redundant operations by at least 52% compared with state-of-the-art approaches when the arrival rate of update events equals three times per second. IEEE
AB - Network update enables Software-Defined Networks (SDNs) to optimize the data plane performance. The single update focuses on processing one update event at a time, i.e., updating a set of flows from their initial routes to target routes, but it fails to handle continuously arriving update events in time incurred by high-frequency network changes. On the contrary, the continuous update proposed in ``Update Algebra'' can handle multiple update events concurrently and respond to the network condition changes at all times. However, ``Update Algebra'' only guarantees the blackhole-free and loop-free update. The congestion-free property cannot be respected. In this paper, we propose Coeus to achieve the continuous update while maintaining consistency, i.e., ensuring the blackhole-free, loop-free, and congestion-free properties simultaneously. Firstly, we establish the continuous update model based on the update operations in update events. With the update model, we dynamically reconstruct the operation dependency graph (ODG) to capture the relationship between update operations and link utilization variations. Then, we develop a composition algorithm to eliminate redundant operations in update events. To further speed up the update procedure, we present a partition algorithm to split the operation nodes of the ODG into a series of suboperation nodes that can be executed independently. The partition algorithm is proven to be optimal. Finally, extensive evaluations show that Coeus can improve the update speed by at least 179% and reduce redundant operations by at least 52% compared with state-of-the-art approaches when the arrival rate of update events equals three times per second. IEEE
KW - Algebra
KW - consistency
KW - Continuous update
KW - IEEE transactions
KW - Network topology
KW - operation dependency graph.
KW - Packet loss
KW - Partitioning algorithms
KW - Protocols
KW - SDNs
KW - Transient analysis
KW - Software defined networking
KW - Topology
KW - Black holes
KW - Consistency
KW - Continuous updates
KW - Dependency graphs
KW - IEEE transaction
KW - Operation dependency graph.
KW - Packets loss
KW - Software-defined networks
U2 - 10.1109/TNET.2022.3143700
DO - 10.1109/TNET.2022.3143700
M3 - Journal article
VL - 30
SP - 1424
EP - 1438
JO - IEEE/ACM Transactions on Networking
JF - IEEE/ACM Transactions on Networking
SN - 1063-6692
IS - 3
ER -