In late August, researchers from the UCSD Computer Science and Engineering Department, collaborating with UCSD’s Center for Applied Internet Data Analysis (CAIDA) and external partners, won Best Paper at the Association for Computing Machinery’s 2018 Special Interest Group on Data Communication (SIGCOMM) conference in Budapest, Hungary. The paper introduces a new method for third parties to infer and analyze congestion on interconnection links between broadband access internet service providers (AT&T, Comcast, etc.) and other networks.
Methods and tools that can detect this type of internet congestion without direct access to the links have been elusive. After decades of need for this technology, the new report describes a promising approach for increasing an objective third-party’s ability to study disputes over Internet interconnection in an open, scientifically validated way. The authors have proposed several future directions for their work, including expanding their technology’s reach and measuring how the congestion between networks affects an internet user’s experience.
Link to paper: https://dl.acm.org/citation.cfm?id=3230549
By Xochitl Rojas-Rocha