A Method for Animating Children’s Drawings of the Human Figure
Harrison Jesse Smith, Qingyuan Zheng, Yifei Li, Somya Jain, Jessica K. Hodgins
USENIX Symposium on Networked Systems Design and Implementation (NSDI)
Flexplane enables users to program data plane algorithms and conduct experiments that run real application traffic over them at hardware line rates. Flexplane explores an intermediate point in the design space between past work on software routers and emerging work on programmable hardware chipsets. Like software routers, Flexplane enables users to express resource management schemes in a high-level language (C++), but unlike software routers, Flexplane runs at close to hardware line rates. To achieve these two goals, a centralized emulator faithfully emulates, in real-time on a multi-core machine, the desired data plane algorithms with very succinct representations of the original packets. Real packets traverse the network when notified by the emulator, sharing the same fate and relative delays as their emulated counterparts.
Flexplane accurately predicts the behavior of several network schemes such as RED and DCTCP, sustains aggregate throughput of up to 760 Gbits/s on a 10-core machine (⇡ 20⇥ faster than software routers), and enables experiments with real-world operating systems and applications (e.g., Spark) running on diverse network schemes at line rate, including those such as HULL and pFabric that are not available in hardware today.
Harrison Jesse Smith, Qingyuan Zheng, Yifei Li, Somya Jain, Jessica K. Hodgins
Yunbo Zhang, Deepak Gopinath, Yuting Ye, Jessica Hodgins, Greg Turk, Jungdam Won
Simran Arora, Patrick Lewis, Angela Fan, Jacob Kahn, Christopher Ré