AT&T Labs Research
AT&T’s software-defined network will deliver seamless streaming videos, high-definition games, photo intensive social media, and one day, help make autonomous cars a reality.
ECOMP & ONAP
ECOMP is driving our software-centric network transformation. It represents 8.5 million lines of code and currently supports over 100 different virtual network functions at all layers of our network. It’s a major part of ONAP, a new software-defined network architected to unite global carriers and vendors under one common platform with the goal of allowing end users to automate, design, orchestrate and manage services and virtual functions. It aims to create and foster a dynamic community. For more information visit the Linux Foundation.
Resources and News
- Download ECOMP Architecture White Paper »
- Creating the New Radical »
- "Never Been Done Before? Sounds Like Fun." »
- A Technological Symphony »
- Open for Business: ONAP Puts Tomorrow's Network in Your Hands »
DANOS
AT&T has moved to white box hardware as a critical component of our network. With a Disaggregated Network Operating System (DANOS), AT&T Labs aims to help foster an ecosystem of application and hardware options from multiple vendors.
Resources and News
- Scaling White Box »
- Building the Operating System for White Box Hardware »
- AT&T to Release "DANOS" Software Into Open Source to Accelerate Network White Box Adoption »
Software-Defined Storage
Using innovative algorithms, AT&T Labs invented a unique technology to solve business storage challenges. The process is automated, and the output is a custom plan designed for storage needs.
Technical Publications
SDN Controller to Enable Network Slicing and Efficient Sharing of Resources
Gagan Choudhury, Shweta Vachhani, Martin Birk, Simon Tse
Optical Fiber Communications Conference and Exhibition (OFC), 2019
Joint Optimization of Packet and Optical layers of a Core Network Using SDN Controller, CD ROADMs and machine-learning-based traffic prediction
Gagan Choudhury, Gaurav Thakur, Simon Tse
Optical Fiber Communications Conference and Exhibition (OFC), 2019
Distributed Software Defined Networking Controller Failure Mode and Availability Analysis
Paul Reeser, Guilhem Tesseyre, Marcus Callaway
IEEE International Symposium on Performance Analysis of Systems and Software, 2019
Predictive Analysis in Network Function Virtualization
Zhijing Li, Zihui Ge, Ajay Mahimkar, Jia Wang, Ben Y. Zhao, Haitao Zheng, Joanne Emmons, Laura Ogden
ACM Internet Measurement Conference, 2018
OpenROADM Compliant SDN Controller for a Full Interoperability of the Optical Transport Network
Ahmed Triki, Christophe Betoule, Gilles Thouenon, Olivier Renais, Nicolas Pelloquin, Guillaume Lambert, Malick Sylla, Shweta Vachhani, Dhruv Bhardwaj, Masha Dorfman, Archana Soundararajan, Martin Birk
ECOC, 2018
Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks: Traffic Matrix Prediction and Optical Path Performance Prediction
Gagan Choudhury, David Lynch, Gaurav Thakur, Simon Tse
IEEE/OSA Journal of Optical Communication and Networking, 2018
Real-Time Traffic Management in AT&T’s SDN-Enabled Core IP/Optical Network
Simon Tse, Gagan Choudhury
Optical Fiber Communications Conference, 2018
Dynamic Service Chaining with Dysco
Pamela Zave, Ronaldo A. Ferreira, Xuan Kelvin Zou, Masaharu Morimoto, Jennifer Rexford
ACM SIGCOMM, 2017
ParaBox: Exploiting Parallelism for Virtual Network Functions in Service Chaining
Yang Zhang, Bilal Anwer, Vijay Gopalakrishnan, Bo Han, Joshua Reich, Aman Shaikh, Zhi-Li Zhang
Symposium on SDN Research (SOSR), 2017
Building the Network of the Future: Getting Smarter, Faster, and More Flexible with a Software Centric Approach
John Donovan, Krish Prabhu
Chapman and Hall/CRC, 2017
Evolving to an SDN-Enabled ISP Backbone: Key Technologies and Applications
Martin Birk, Gagan Choudhury, Bruce Cortez, Alvin Goddard, Narayan Padi, Aswatnarayan Raghuram, Kathy Tse, Simon Tse, Andrew Wallace, and Kang Xi
IEEE Communications Magazine October, 2016
Partial-Parallel-Decoding (PPR): A Distributed Technique for Repairing Erasure Coded Storage
Subrata Mitra, Rajesh Panta, Moo-Ryong Ra, Saurabh Bagchi
ACM Eurosys, 2016
Tools for Predicting the Reliability of Large Scale Storage Systems
Robert J. Hall
ACM Transactions on Storage, 2016
FocusStack: Orchestrating Edge Clouds Using Location-Based Focus of Attention
Brian Amento, Bharath Balasubramanian, Robert J. Hall, Kaustubh R. Joshi, Gueyoung Jung, K. Hal Purdy
1st ACM Symposium on Edge Computing, 2016
Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage
Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn R. Chen
ACM/IEEE Transactions on Networking, 2015
Ostro: Scalable Placement Optimization of Complex Application Topologies in Large-Scale Data Centers
Gueyoung Jung, Matti A. Hiltunen, Kaustubh R. Joshi, Rajesh K. Panta, Richard D. Schlichting
IEEE ICDCS, 2015