Improving IPC by kernel design
SOSP '93 Proceedings of the fourteenth ACM symposium on Operating systems principles
Fbufs: a high-bandwidth cross-domain transfer facility
SOSP '93 Proceedings of the fourteenth ACM symposium on Operating systems principles
Extensibility safety and performance in the SPIN operating system
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Application performance and flexibility on exokernel systems
Proceedings of the sixteenth ACM symposium on Operating systems principles
IO-Lite: a unified I/O buffering and caching system
ACM Transactions on Computer Systems (TOCS)
Cost-effective streaming server implementation using Hi-tactix
Proceedings of the tenth ACM international conference on Multimedia
Why events are a bad idea (for high-concurrency servers)
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
TCP offload is a dumb idea whose time has come
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
Flash: an efficient and portable web server
ATEC '99 Proceedings of the annual conference on USENIX Annual Technical Conference
The design and implementation of an operating system to support distributed multimedia applications
IEEE Journal on Selected Areas in Communications
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As high-speed Internet connections and Internet streaming media become widespread, the demand for high-performance, cheap Internet streaming servers increases. In this paper, we look into the performance limitations of streaming server applications running on PC servers with Linux, and propose a new kernel optimization called "stream engine" that combines both copy elimination and context switch avoidance to double the streaming server throughput. Our experiments with stream engine show that for Internet streaming, eliminating context switches is just as important as eliminating data copying. Using profile data, we also project the benefits of TCP offloading hardware implementing part or all of the stream engine optimization.