DocumentCode :
2999618
Title :
Scalla: Structured Cluster Architecture for Low Latency Access
Author :
Hanushevsky, Andrew ; Wang, Daniel L.
Author_Institution :
SLAC Nat. Accel. Lab., Menlo Park, CA, USA
fYear :
2012
fDate :
21-25 May 2012
Firstpage :
1168
Lastpage :
1175
Abstract :
Scalla is a distributed low-latency file access system that incorporates novel techniques that minimize latency and maximize scalability over a large distributed system with a distributed namespace. Scalla´s techniques have shown to be effective in nearly a decade of service for the high-energy physics community using commodity hardware and interconnects. We describe the two components used in Scalla that are instrumental in its ability to provide low-latency, fault-tolerant name resolution and load distribution, and enable its use as a high-throughput, low-latency communication layer in the Qserv system, the Large Synoptic Survey Telescope´s (LSST´s) prototype astronomical query system.
Keywords :
distributed processing; file organisation; pattern clustering; physics computing; LSST; Scalla; distributed namespace; distributed system; high energy physics community; large synoptic survey telescope; low latency access; prototype astronomical query system; structured cluster architecture; Communities; Protocols; Radiation detectors; Scalability; Semantics; Servers; Vectors; distributed storage; high concurrency; scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0974-5
Type :
conf
DOI :
10.1109/IPDPSW.2012.141
Filename :
6270769
Link To Document :
بازگشت