Parallel circuit provisioning in ESnet's OSCARS

Abstract

Large-scale science applications generate great volumes of data, which are frequently stored in remote data repositories or shared with cooperating laboratories across the network through the use of advance reservation connections. The groups that utilize these data transfers would benefit from having their applications simultaneously transmit data over multiple channels in parallel. Many of today's networks do not however provide the resource-aware scheduling to support this parallelization. As part of a framework for providing said applications with parallel resource-optimized provisioning of end-to-end requests, we propose and develop a scheduling enhancement to ESnet's On-demand Secure Circuits and Advance Reservation System (OSCARS). This enhancement comes in the form of a front-end client, the behavior of which we quantitatively evaluate to compare the performance of parallel resource-provisioning to serial resource usage for both unicast and anycast scenarios.