Energy aware RAID configuration for large storage systems

Aiming at the problem that some disks of energy-aware storage systems are easily overloaded, a dynamic load balancing method based on multiqueue and heat degree (MQHD) is proposed. According to data popularity, MQHD divides data into multiple least recently used (LRU) queues by data access frequency and access temporal locality and uses heat degree to measure the load pressure brought by each data unit to a disk. When a disk is overloaded, MQHD calculates the load pressure ratio (LPR) according to the disk overload degree and then selects some appropriate data to migrate according to the LPR. The experimental results show that, compared with the popular data concentration method (PDC), the workload-adaptive management method (WAM), and the energy model-based file migration strategy (EM-FMS), MQHD is the most effective. Under given experimental conditions, the request change ratio (RCR) value of MQHD is 0.371, EM-FMS is 0.2872, and WAM is 0.0114. Compared with EM-FMS, MQHD has better rapidity and less overhead.

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PEAM: Predictive Energy-Aware Management for Storage Systems

2013 IEEE Eighth International Conference on Networking, Architecture and Storage ◽

10.1109/nas.2013.20 ◽

2013 ◽

Cited By ~ 1

Author(s):

Xunfei Jiang ◽

Ji Zhang ◽

Mohammed I. Alghamdi ◽

Xiao Qin ◽

Minghua Jiang ◽

...

Keyword(s):

Storage Systems ◽

Energy Aware

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Exploiting Replication for Energy-Aware Scheduling in Disk Storage Systems

IEEE Transactions on Parallel and Distributed Systems ◽

10.1109/tpds.2014.2359011 ◽

2015 ◽

Vol 26 (10) ◽

pp. 2734-2749 ◽

Cited By ~ 7

Author(s):

Jerry Chi-Yuan Chou ◽

Ting-Hsuan Lai ◽

Jinoh Kim ◽

Doron Rotem

Keyword(s):

Storage Systems ◽

Energy Aware ◽

Disk Storage ◽

Energy Aware Scheduling

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Creating a standard method of controlling digital microscopes: the microscope access protocol (map)

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100136453 ◽

1995 ◽

Vol 53 ◽

pp. 16-17

Author(s):

T. A. Dodson ◽

E. Völkl ◽

L. F. Allard ◽

T. A. Nolan

Keyword(s):

Data Storage ◽

Storage Systems ◽

Digital Systems ◽

Data Networks ◽

Digital Microscopy ◽

Command Language ◽

Access Protocol ◽

Analog To Digital ◽

Basic Physics ◽

Scanning Electron

The process of moving to a fully digital microscopy laboratory requires changes in instrumentation, computing hardware, computing software, data storage systems, and data networks, as well as in the operating procedures of each facility. Moving from analog to digital systems in the microscopy laboratory is similar to the instrumentation projects being undertaken in many scientific labs. A central problem of any of these projects is to create the best combination of hardware and software to effectively control the parameters of data collection and then to actually acquire data from the instrument. This problem is particularly acute for the microscopist who wishes to "digitize" the operation of a transmission or scanning electron microscope. Although the basic physics of each type of instrument and the type of data (images & spectra) generated by each are very similar, each manufacturer approaches automation differently. The communications interfaces vary as well as the command language used to control the instrument.

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