SDN as active measurement infrastructure
MetadataShow full item record
Active measurements are integral to the operation and management of networks, and invaluable to supporting empirical network research. Unfortunately, it is often cost-prohibitive and logistically difficult to widely deploy measurement nodes, especially in the core. In this work, we consider the feasibility of tightly integrating measurement within the infrastructure by using Software Defined Networks (SDNs). We introduce “SDN as Active Measurement Infrastructure” (SAAMI) to enable measurements to originate from any location where SDN is deployed, removing the need for dedicated measurement nodes and increasing vantage point diversity. We implement ping and traceroute using SAAMI, as well as a proof-of-concept custom measurement protocol to demonstrate the power and ease of SAAMI’s open framework. Via a large-scale measurement campaign using SDN switches as vantage points, we show that SAAMI is accurate, scalable, and extensible.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Walsh, Kevin J. (Monterey, California. Naval Postgraduate School, 1993-09);Tools to count lines of code have not been standardized or automated in a flexible fashion. This lack of flexibility can lead to ambiguous interpretations of the size of software modules, especially when the person performing ...
Allman, Mark; Beverly, Robert; Trammell, Brian (ACM, 2017-04);Measurement has become fundamental to the operation of networks and at-scale services - whether for management, security, diagnostics, optimization, or simply enhancing our collective understanding of the Internet as a ...
Frontera, Paul J. (Monterey, California: Naval Postgraduate School, 2016-09);Nonlinear estimators based on the Kalman filter, the extended Kalman filter (EKF) and unscented Kalman filter (UKF) are commonly used in practical application. The Kalman filter is an optimal estimator for linear systems; ...