Title
Performance evaluation of Optical Packet Switches on high performance applications
Abstract
This paper analyzes the performance impact of Optical Packet Switches (OPS) on parallel HPC applications. Because these devices cannot store light, in case of a collision for accessing the same output port in the switch only one packet can proceed and the others are dropped. The analysis focuses on the negative impact of packet collisions in the OPS and subsequent re-transmissions of dropped packets. To carry out this analysis we have developed a system simulator that mimics the behavior of real HPC application traffic and optical network devices such as the OPS. By using real application traces we have analyzed how message re-transmissions could affect parallel executions. In addition, we have also developed a methodology that allows to process applications traces and determine packet concurrency. The concurrency evaluates the amount of simultaneous packets that applications could transmit in the network. Results have shown that there are applications that can benefit from the advantages of OPS technology. Taking into account the applications analyzed, these applications are the ones that show less than 1% of packet concurrency; whereas there are other applications where their performance could be impacted by up to 65%. This impact is mostly dependent on application traffic behavior that is successfully characterized by our proposed methodology.
Year
DOI
Venue
2015
10.1109/HPCSim.2015.7237062
2015 International Conference on High Performance Computing & Simulation (HPCS)
Keywords
Field
DocType
Optical Packet Switching,HPC,Packet Collision,Parallel Applications
Packet analyzer,Optical burst switching,Computer science,Transmission delay,Network packet,Computer network,Burst switching,Real-time computing,Packet generator,Fast packet switching,Processing delay
Conference
ISBN
Citations 
PageRank 
978-1-4673-7812-3
2
0.43
References 
Authors
4
6
Name
Order
Citations
PageRank
Hugo Meyer1143.08
José Carlos Sancho238229.97
Wang Miao3133.21
Harm J. S. Dorren4293.59
Nicola Calabretta5314.68
Montse Farreras616312.94