Application Transformations for Energy and Performance-Aware Device Management
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Massive arrays of idle disks for storage archives
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Energy conservation techniques for disk array-based servers
Proceedings of the 18th annual international conference on Supercomputing
Software-Directed Disk Power Management for Scientific Applications
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Program Counter Based Techniques for Dynamic Power Management
HPCA '04 Proceedings of the 10th International Symposium on High Performance Computer Architecture
Disk layout optimization for reducing energy consumption
Proceedings of the 19th annual international conference on Supercomputing
EERAID: energy efficient redundant and inexpensive disk array
Proceedings of the 11th workshop on ACM SIGOPS European workshop
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Energy efficient prefetching and caching
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
PARAID: a gear-shifting power-aware RAID
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
GreenStor: Application-Aided Energy-Efficient Storage
MSST '07 Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies
| Hi-index | 0.00 |
The power consumption of modern datacenters is increasing rapidly. Storage in datacenter consumes much power. Today, databases, especially those for OLTP, have become a major storage application in datacenters. Therefore, power-saving management for OLTP applications has become an important task for user budgets and datacenter operations. This paper presents a description of a novel power-saving method for large storage systems based on application I/O behavior of OLTP applications. Features of our approach are (i) measurement of actual RAID storage power consumption, (ii) analysis of I/O behavior characteristics of OLTP applications, and (iii) delayed write operation at a storage cache level based on the I/O behavior of OLTP applications. We present a measured result of power consumption of storages during an OLTP application is running, and simulations results of our power-saving methods with varying cache size of storage, which demonstrate that our method provides substantially lower storage power consumption than that of a conventional OLTP environment.