Paper Info
Title
Reducing energy consumption of queries in memory-resident database systems
Abstract
The tremendous growth of system memories has increased the capacities and capabilities of memory-resident embedded databases, yet current embedded databases need to be tuned in order to take advantage of new memory technologies. In this paper, we study the implications of hosting memory resident databases, and propose hardware and software (query-driven) techniques to improve their performance and energy consumption. We exploit the structured organization of memories, which enables a selective mode of operation in which banks are accessed selectively. Unused banks are placed in a lower power mode based on access pattern information. We propose hardware techniques that dynamically control the memory by making the system adapt to the access patterns that arise from queries. We also propose a software (query-directed) scheme that directly modifies the queries to reduce the energy consumption by ensuring uniform bank accesses. Our results show that these optimizations could lead to at the least 40% reduction in memory energy. We also show that query-directed schemes better utilize the low-power modes, achieving up to 68% improvement.
Year
DOI
Venue
2004
10.1145/1023833.1023840
CASES
Keywords
Field
DocType
memory-resident embedded databases,new memory technology,memory energy,memory resident databases,energy consumption,access pattern,current embedded databases,system memory,hardware technique,access pattern information,memory-resident database system,dram,query optimization,energy management,energy,database,database system
Query optimization,Dram,Computer science,Block cipher mode of operation,Parallel computing,Real-time computing,Exploit,Software,Energy consumption,Database,Embedded system,Power consumption
Conference
ISBN
Citations 
PageRank 
1-58113-890-3
6
0.46
References 
Authors
13
3
Name
Order
Citations
PageRank
Jayaprakash Pisharath1273.55
Alok N. Choudhary224222.44
Mahmut T. Kandemir37371568.54