|
Title:
|
A STRATEGY FOR COST EFFICIENT DISTRIBUTED DATA STORAGE FOR IN-MEMORY OLAP |
|
Author(s):
|
Olga Mordvinova , Oleksandr Shepill , Thomas Ludwig , Andrew Ross |
|
ISBN:
|
978-972-8924-97-3 |
|
Editors:
|
Hans Weghorn and Pedro Isaías |
|
Year:
|
2009 |
|
Edition:
|
V I, 2 |
|
Keywords:
|
Storage issues, Distributed storage, Cost efficient storage, OLAP |
|
Type:
|
Full Paper |
|
First Page:
|
109 |
|
Last Page:
|
117 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
With the availability of inexpensive blade servers featuring 32 GB or more of main memory, memory-based engines such
as the SAP NetWeaver Business Warehouse Accelerator are coming into widespread use for online analytic processing
(OLAP) of terabyte data volumes. Data storage for such engines is often implemented in standard storage technologies
like storage area network (SAN) or network attached storage (NAS) with high hardware costs. Given the access pattern,
storage costs can be reduced by using a distributed persistence layer based on commodity architecture. We discuss an
example of an in-memory OLAP engine with a focus on storage architecture. We then present an implementation of a
distributed persistence layer that is optimized for the access pattern of such engines. Finally, we show the cost-saving
potential and discuss the performance impact compared to SAN systems. |
|
|
|
|
|
|
