Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Resource overbooking and application profiling in shared hosting platforms
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Hibernator: helping disk arrays sleep through the winter
Proceedings of the twentieth ACM symposium on Operating systems principles
Achieving Class-Based QoS for Transactional Workloads
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Currentcy: a unifying abstraction for expressing energy management policies
ATEC '03 Proceedings of the annual conference on USENIX Annual Technical Conference
JouleSort: a balanced energy-efficiency benchmark
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Energy-aware server provisioning and load dispatching for connection-intensive internet services
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Workload decomposition for QoS in hosted storage services
Proceedings of the 3rd workshop on Middleware for service oriented computing
Fault-tolerant middleware and the magical 1%
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Energy Smart Management of Scientific Data
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Autonomic exploration of trade-offs between power and performance in disk drives
Proceedings of the 7th international conference on Autonomic computing
Adaptive workload shaping for power savings on disk drives
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
Hi-index | 0.00 |
Power consumption and cooling costs of hosted storage services and shared storage infrastructure in data centers account for a growing percentage of the total cost of ownership. The bursty nature of storage workloads requires significant over provisioning of the capacity and power consumption to meet traditional response-time QoS guarantees. In this paper, we propose a graduated, distribution-based QoS model and a runtime scheduler for power efficient storage servers. Through the evaluation of the real storage workload traces, we show a new general tradeoff between the performance and power consumption.