PB-LRU: a self-tuning power aware storage cache replacement algorithm for conserving disk energy
Proceedings of the 18th annual international conference on Supercomputing
Joint Power Management of Memory and Disk
Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Power-Aware Storage Cache Management
IEEE Transactions on Computers
Exploring the Energy-Time Tradeoff in MPI Programs on a Power-Scalable Cluster
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Exploring the Energy-Time Tradeoff in High-Performance Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Using multiple energy gears in MPI programs on a power-scalable cluster
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Client-Centered, Energy-Efficient Wireless Communication on IEEE 802.11b Networks
IEEE Transactions on Mobile Computing
Adaptive, transparent frequency and voltage scaling of communication phases in MPI programs
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Program-counter-based pattern classification in buffer caching
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
Improving disk reuse for reducing power consumption
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
Interaction-aware energy management for wireless network cards
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Just-in-time dynamic voltage scaling: Exploiting inter-node slack to save energy in MPI programs
Journal of Parallel and Distributed Computing
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
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
Safe overprovisioning: using power limits to increase aggregate throughput
PACS'04 Proceedings of the 4th international conference on Power-Aware Computer Systems
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
Improving energy efficiency for mobile platforms by exploiting low-power sleep states
Proceedings of the 9th conference on Computing Frontiers
Energy- and performance-aware scheduling of tasks on parallel and distributed systems
ACM Journal on Emerging Technologies in Computing Systems (JETC)
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
On reducing energy management delays in disks
Journal of Parallel and Distributed Computing
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Reducing energy consumption has become one of the major challenges in designing future computing systems. This paper proposes a novel idea of using program counters to predict I/O activities in the operating system. The paper presents a complete design of Program-Counter Access Predictor (PCAP) that dynamically learns the access patterns of applications and predicts when an I/O device can be shut down to save energy. PCAP uses path-based correlation to observe a particular sequence of program counters leading to each idle period, and predicts future occurrences of that idle period. PCAP differs from previously proposed shutdown predictors in its ability to: (1) correlate I/O operations to particular behavior of the applications and users, (2) carry prediction information across multiple executions of the applications, and (3) attain better energy savings while incurring low mispredictions.