Conserving disk energy in network servers

By Enrique V. Carrera, Eduardo Pinheiro, Ricardo Bianchini. International Conference on Supercomputing, 2003

343 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/dad758da04885e30749d2e759ed5bb40d088add1

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In Computer Networks and Communications

In Information Systems

Citations in the corpus

Hibernator: helping disk arrays sleep through the winter (2005, methodology): “Baseline RAID layout without power management RAIDDRPM RAID layout + DRPM algorithm [19] PDCLD PDC layout + LD algorithm [10, 32] RAIDDRPM RAID layout + DRPM algorithm +PG PDC LD PDC layout + LD algorithm + PG RAID CR RAID layout + CR algorithm + PG Hibernator adaptive layout + CR algorithm + PG”
Power provisioning for a warehouse-sized computer (2007, background): “Carrera et al [5] instead focus on the disk subsystem, proposing energy management strategies that include the use of multi-speed disks and combinations of server-class and laptop drives.”
Power and energy management for server systems (2004, methodology): “Finally, a few efforts [2, 4, 10, 18, 25] addressed the energy consumption in the storage subsystem.”
GreenCloud: a new architecture for green data center (2009, background): “Many efforts have been made to improve the energy efficiency of IDC [9-18], including network power management [26], Chip-Multiprocessing (CMP) energy efficiency [10], IDC power capping [16], storage power management solutions [11] etc.”
The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines (2009, neutral): “1152/japplphysiol.00216.2005 [19] J. Dean and S. Ghemawat, “MapReduce: simplified data processing on large clusters,” Communications of the ACM, vol. 51, no. 1 (2008), pp.”
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters (2005, background): “Some work has also been accomplished in distributed systems[5, 8].”
Power management of online data-intensive services (2011, background): “Numerous studies examine power management approaches for processors [12, 13, 23, 25], memory [9, 10, 11, 13], and disk [7, 15, 22].”
No "power" struggles: coordinated multi-level power management for the data center (2008, methodology): “Second, using our unified architecture as the base, we perform a detailed quantitative sensitivity analysis and draw conclusions about the impact of different architectures, implementations, workloads, and system design choices.”
A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, background): “For example, HPC nodes commonly use hard disk drives – a scenario that may change as SSD become more aﬀordable – whose energy consumption can be reduced by spinning platters down [Carrera et al. 2003].”