CHISEL: An optical slice of the wide-area network
Abhishek Vijaya Kumar, Bill Owens, Nikolaj S. Bjørner, Binbin Guan, Yawei Yin, Paramvir Bahl, Rachee Singh
摘要
Network slicing reserves a portion of the physical resources of radio access networks and makes them available to consumers. Slices guarantee traffic isolation, strict bandwidth and quality of service. However, the abstraction of slicing has been limited to access networks. We develop CHISEL, a system that dynamically carves slices of the wide-area network (WAN), enabling an end-to-end network slicing abstraction. CHISEL creates optical slices between WAN endpoints to avoid queueing and congestion delays inherent in packet switched paths in WANs. CHISEL incrementally allocates optical spectrum on long-haul fiber to provision slices. This task is made challenging by the co-existence of data-carrying channels on the fiber and numerous physical constraints associated with provisioning optical paths e.g., spectrum contiguity, continuity and optical reach constraints. CHISEL leverages the empirical finding that cloud WANs have abundant optical spectrum to spare -75% of optical spectrum on 75% of fiber spans is unused. CHISEL can optimally allocate terabits of slice requests while consuming minimal optical spectrum within seconds without increasing spectral fragmentation on fiber. CHISEL trades-off optimality of slice bandwidth allocation for faster run-time, provisioning slices within 2% of optimal in less than 30 seconds in a commercial cloud WAN. Finally, CHISEL reduces the latency of provisioning optical slices on hardware by 10X. Compared to IP tunnels of equivalent capacity, CHISEL consumes 3.3X fewer router ports. 1
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- HEDGE: Traffic Engineering with Probabilistic Link CapacitiesArjun Devraj, Bill Owens, Umesh Krishnaswamy, Ying Zhang 等NSDI 2026
- Learning to Tune Optical WANs: A Field Deployment of Noise Models in Optical NetworksBhaskar Kataria, Howard Hua, Andrea D'Amico, Bill Owens 等NSDI 2026
它引用的顶会 Paper6
- Cost-effective Cloud Edge Traffic Engineering with CascaraRachee Singh, Sharad Agarwal, Matt Calder, Paramvir BahlNSDI 2021 · 被引用 79 次
- ARROW: restoration-aware traffic engineeringZhizhen Zhong, Manya Ghobadi, Alaa Khaddaj, Jonathan Leach 等SIGCOMM 2021 · 被引用 37 次
- OneWAN is better than two: Unifying a split WAN architectureUmesh Krishnaswamy, Rachee Singh, Paul Mattes, Paul-Andre C. Bissonnette 等NSDI 2023 · 被引用 34 次
- Cost-effective capacity provisioning in wide area networks with ShooflyRachee Singh, Nikolaj S. Bjørner, Sharon Shoham, Yawei Yin 等SIGCOMM 2021 · 被引用 32 次
- Toward formally verifying congestion control behaviorVenkat Arun, Mina Tahmasbi Arashloo, Ahmed Saeed, Mohammad Alizadeh 等SIGCOMM 2021 · 被引用 31 次
相关 Paper
- FSA: fronthaul slicing architecture for 5G using dataplane programmable switchesNishant Budhdev, Raj Joshi, Pravein Govindan Kannan, Mun Choon Chan 等MobiCom 2021 · 被引用 16 次
- AZTEC: Anticipatory Capacity Allocation for Zero-Touch Network SlicingDario Bega, Marco Gramaglia, Marco Fiore, Albert Banchs 等INFOCOM 2020 · 被引用 71 次
- FlexWAN: Software Hardware Co-design for Cost-Effective and Resilient Optical BackbonesCongcong Miao, Zhizhen Zhong, Ying Zhang, Kunling He 等SIGCOMM 2023 · 被引用 10 次
- Channel-Aware 5G RAN Slicing with Customizable SchedulersYongzhou Chen, Ruihao Yao, Haitham Hassanieh, Radhika MittalNSDI 2023 · 被引用 52 次
- Scalable Real-Time Bandwidth Fairness in SwitchesRobert MacDavid, Xiaoqi Chen, Jennifer RexfordINFOCOM 2023 · 被引用 15 次
