MATE: MPLS adaptive traffic engineering
By Anwar Elwalid, Cheng Jin, Steven H. Low, I. Widjaja. Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), 2001
631 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1dc62b09b964b8faeecbc03270f7d7a5f2fee733
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Mung Chiang
- Steven H. Low
- Mohammad Alizadeh
- John C. Doyle
- Hari Balakrishnan
- A. Robert Calderbank
- Amin Vahdat
- C. Hong
In Electrical and Electronic Engineering
- Mung Chiang
- Steven H. Low
- John C. Doyle
- A. Robert Calderbank
- Hari Balakrishnan
- Mohammad Alizadeh
- Srikanth Kandula
- George Varghese
Citations in the corpus
- Hedera: Dynamic Flow Scheduling for Data Center Networks (2010, background): “TeXCP [23] and MATE [10] perform dynamic traffic engineering across multiple paths in the wide-area by using explicit congestion notification packets, which require as yet unavailable switch support.”
- HULA: Scalable Load Balancing Using Programmable Data Planes (2016, neutral): “Global utilization-aware load balancing TeXCP [41] and MATE [42] are adaptive traffic-engineering proposals that load balance across multiple ingress-egress paths in a wide-area network based on per-path congestion metrics.”
- Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures (2007, methodology): “Various designs have been presented based on somewhat different NUM formulations and decomposition methods: MATE in [34], TeXCP in [59], DATE in [49], Overlay TCP in [46], and others [82], [60], [69], [101], [143].”
- CONGA: distributed congestion-aware load balancing for datacenters (2015, background): “Traditional traffic engineering mechanisms for wide-area networks [15, 14, 42, 49] use centralized algorithms operating at coarse timescales (hours) based on long-term estimates of traffic matrices.”
- Achieving high utilization with software-driven WAN (2013, background): “Optimizing WAN e ciency has rich literature including tuning ECMP weights [12], adapting allocations across preestablished tunnels [10, 17], storing and re-routing bulk data at relay nodes [21], caching at application-layer [32] and leveraging reconfigurable optical networks [22].”
- Fastpass (2014, background): “In MATE [15] and DARD [38], ingress nodes reroute traffic self-ishly between paths until converging to a configuration that provides good load balance across paths.”