Analyzing I/O patterns for the design of energy-efficient image servers

Hard disks are one of the largest sources of power consumption in large-scale storage systems. The disk spin up/down technique has been shown to be an effective solution to this problem. Accordingly, the Open Compute Project (OCP) proposed a storage server for cold data, known as Cold Storage, to reduce power consumption using the spin-down technique in large-scale storage systems. With the aim of making effective use of Cold Storage, we characterize the power consumed by a hard disk in its various modes of operation. We then analyze the workload of an instant messaging service. These our contributions should provide guidelines for the implementation of a stable and energy-efficient distributed file system on a Cold Storage server, and to establish a spin-down policy that is power-proportional and promotes reliability.

[1]  Li Bo,et al.  The Optimization of the Hierarchical Storage System Based on the Hybrid SSD Technology , 2012, 2012 Second International Conference on Intelligent System Design and Engineering Application.

[2]  Austin Donnelly,et al.  Sierra: practical power-proportionality for data center storage , 2011, EuroSys '11.

[3]  Giovanni De Micheli,et al.  Adaptive hard disk power management on personal computers , 1999, Proceedings Ninth Great Lakes Symposium on VLSI.

[4]  Yolande Berbers,et al.  Analysis of disk power management for data-center storage systems , 2012, 2012 Third International Conference on Future Systems: Where Energy, Computing and Communication Meet (e-Energy).

[5]  Navendu Jain,et al.  Managing cost, performance, and reliability tradeoffs for energy-aware server provisioning , 2011, 2011 Proceedings IEEE INFOCOM.

[6]  Fred Douglis,et al.  Adaptive Disk Spin-Down Policies for Mobile Computers , 1995, Comput. Syst..

[7]  Jesús Carretero,et al.  Survey of Energy-Efficient and Power-Proportional Storage Systems , 2014, Comput. J..

[8]  Mahmut T. Kandemir,et al.  DRPM: dynamic speed control for power management in server class disks , 2003, 30th Annual International Symposium on Computer Architecture, 2003. Proceedings..

[9]  Scott A. Brandt,et al.  A Hybrid Disk-Aware Spin-Down Algorithm with I/O Subsystem Support , 2007, 2007 IEEE International Performance, Computing, and Communications Conference.

[10]  Arvind Krishnamurthy,et al.  Modeling Hard-Disk Power Consumption , 2003, FAST.

[11]  Jinoh Kim,et al.  Energy-Aware Scheduling in Disk Storage Systems , 2011, 2011 31st International Conference on Distributed Computing Systems.

[12]  Lt. Dr. Santhosh Baboo P Renjith Kumar.  Next Generation Data Warehouse Design with Big data for Big Analytics and Better Insights , 2013 .

[13]  Kyungtae Kang,et al.  Strategy to Reduce I/O Access Time of Applications in Virtual Machines , 2013, 2013 International Conference on IT Convergence and Security (ICITCS).