A case for redundant arrays of inexpensive disks (RAID)
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Text compression
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Massive arrays of idle disks for storage archives
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
The Case for Efficient File Access Pattern Modeling
HOTOS '99 Proceedings of the The Seventh Workshop on Hot Topics in Operating Systems
DRPM: dynamic speed control for power management in server class disks
Proceedings of the 30th annual international symposium on Computer architecture
Passive NFS Tracing of Email and Research Workloads
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
EERAID: energy efficient redundant and inexpensive disk array
Proceedings of the 11th workshop on ACM SIGOPS European workshop
PARAID: A gear-shifting power-aware RAID
ACM Transactions on Storage (TOS)
A reinforcement learning framework for online data migration in hierarchical storage systems
The Journal of Supercomputing
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Robust and flexible power-proportional storage
Proceedings of the 1st ACM symposium on Cloud computing
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Data Allocation Based on XML Query Patterns to Reduce Power Consumption
DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
A power saving storage method that considers individual disk rotation
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
| Hi-index | 0.00 |
Many recent advanced applications of information systems require large amounts of data to be stored in multiple hard disk drives (HDDs). The placement of data in these drives is quite influential in reducing energy consumption while retaining the performance of the system. Several approaches have been proposed in which frequently accessed files are concentrated into a limited number of drives to enable spin-down of the other drives. However, the placement of infrequently accessed data in these drives is also significant because energy consumption during spin-up to access these data cannot be ignored, particularly when files tending to be used together are placed on many different drives. In this paper, we propose a novel method named PLECO (Placement of files for Latency and Energy Consumption Optimization), which aims to place correlated files into the same drive to reduce power consumption and improve the performance of the system. We simulated and evaluated the proposed method, and these results indicate that our proposal can reduce both the energy consumption and the access latency by up to 32% and 92%, respectively, compared with a baseline system.