System-level power optimization: techniques and tools
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Interface and cache power exploration for core-based embedded system design
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
Parallel I/O for high performance computing
Parallel I/O for high performance computing
Data and memory optimization techniques for embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Data memory design and exploration for low-power embedded systems
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High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
ACM Transactions on Embedded Computing Systems (TECS)
An Exact Method for Analysis of Value-based Array Data Dependences
Proceedings of the 6th International Workshop on Languages and Compilers for Parallel Computing
Adaptive Disk Spin-down Policies for Mobile Computers
MLICS '95 Proceedings of the 2nd Symposium on Mobile and Location-Independent Computing
Conserving disk energy in network servers
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
The case for power management in web servers
Power aware computing
DRPM: dynamic speed control for power management in server class disks
Proceedings of the 30th annual international symposium on Computer architecture
Leakage power modeling and optimization in interconnection networks
Proceedings of the 2003 international symposium on Low power electronics and design
Energy optimization techniques in cluster interconnects
Proceedings of the 2003 international symposium on Low power electronics and design
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HOTOS '01 Proceedings of the Eighth Workshop on Hot Topics in Operating Systems
Energy conservation techniques for disk array-based servers
Proceedings of the 18th annual international conference on Supercomputing
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
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DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
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MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
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
Energy conservation policies for web servers
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
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PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
A Compiler-Guided Approach for Reducing Disk Power Consumption by Exploiting Disk Access Locality
Proceedings of the International Symposium on Code Generation and Optimization
Compiler-Directed Energy Optimization for Parallel Disk Based Systems
IEEE Transactions on Parallel and Distributed Systems
Optimizing power consumption in large scale storage systems
HOTOS'07 Proceedings of the 11th USENIX workshop on Hot topics in operating systems
EED: Energy Efficient Disk drive architecture
Information Sciences: an International Journal
HiPC'07 Proceedings of the 14th international conference on High performance computing
Autonomic exploration of trade-offs between power and performance in disk drives
Proceedings of the 7th international conference on Autonomic computing
Low power management of OLTP applications considering disk drive power saving function
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Understanding the relationship between energy conservation and reliability in parallel disk arrays
Journal of Parallel and Distributed Computing
Cache effect for power savings of large storage systems with OLTP applications
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
Potentiality of power management on database systems with power saving function of disk drives
ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115
State-of-the-art research study for green cloud computing
The Journal of Supercomputing
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Excessive power consumption is becoming a major barrier to extracting the maximum performance from high-performance parallel systems. Therefore, techniques oriented towards reducing power consumption of such systems are expected to become increasingly important in the future. Since disk systems of high-performance architectures are known to constitute a large fraction of the overall power budget, they form an important optimization target. Previous work on disk power management focuses primarily on hardware based schemes. However, since disk access pattern, i.e., the order in which disks on a system are accessed, is mainly shaped by the program code access pattern and disk layout of data, software techniques can also play a critical role in disk power management. Motivated by this observation, this paper proposes and evaluates a profile-driven disk layout optimization scheme for reducing energy consumption. The proposed scheme analyzes the array access traces obtained through profiling and determines, for each disk-resident data structure, the start disk from which the data is striped, the number of disks over which the data is striped, and the stripe unit. This paper discusses implementation details of our approach and presents an experimental evaluation of it. Our experiments with the entire suite of Spec95 floating-point benchmarks that are modified to operate on disk-resident data show that the proposed approach is very effective in reducing disk energy consumption. The results also show that the performance degradation caused by our approach is very small. This paper also compares our approach to a code restructuring based optimization mechanism and discusses how the two techniques can be combined for achieving the best results.