DocumentCode
2885677
Title
Concurrent Heap-Based Network Sort Engine - Toward Enabling Massive and High Speed Per-Flow Queuing
Author
Suzuki, Muneyoshi ; Minami, Katsuya
Author_Institution
NTT Access Network Service Syst. Labs., NTT Corp., Tsukuba, Japan
fYear
2009
fDate
14-18 June 2009
Firstpage
1
Lastpage
6
Abstract
A Network Sort Engine (NSE) that rapidly identifies the highest priority from numerous priorities is indispensable to enable per-flow queuing that supports massive queues in high-speed communications lines. This is because the bottleneck in per-flow queuing is the process to select a single queue to emit a frame from queues that are ready to emit frames; this process leads to sorting issues in identifying the highest priority. Thus, a Concurrent Heap that parallelizes each layer of a binary tree has been developed as a method of implementing a massive and high speed NSE. Since it does not essentially modify conventional Heap algorithms, it can work at high speed due to its lightweight memory management and it also ensures the worst-case runtime. As the FPGA results from implementing the Concurrent Heap indicate that the required resources are very small, it could be implemented, in practice, in a small FPGA, and the warranted runtime speed indicates that over 8,000 per-flow queues for a 10GbE LAN-PHY could work at the wire rate with successive minimum-length frames.
Keywords
local area networks; multiprocessing programs; queueing theory; sorting; tree data structures; FPGA; binary tree; concurrent heap based network sort engine; high speed per flow queuing; minimum length frame; Engines; Field programmable gate arrays; Logic circuits; Memory management; Neutron spin echo; Runtime; Scalability; Sorting; Timing jitter; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location
Dresden
ISSN
1938-1883
Print_ISBN
978-1-4244-3435-0
Electronic_ISBN
1938-1883
Type
conf
DOI
10.1109/ICC.2009.5198843
Filename
5198843
Link To Document