The Community for Technology Leaders
RSS Icon
Issue No.01 - January-June (2013 vol.12)
pp: 5-8
A. Tavakkol , Comput. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
M. Arjomand , Comput. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
H. Sarbazi-Azad , Comput. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
In recent years, flash memory solid state disks (SSDs) have shown a great potential to change storage infrastructure because of its advantages of high speed and high throughput random access. This promising storage, however, greatly suffers from performance loss because of frequent ``erase-before-write'' and ``garbage collection'' operations. Thus, novel circuit-level, architectural, and algorithmic techniques are currently explored to address these limitations. In parallel with others, current study investigates replacing shared buses in multi-channel architecture of SSDs with an interconnection network to achieve scalable, high throughput, and reliable SSD storage systems. Roughly speaking, such a communication scheme provides superior parallelism that allows us to compensate the main part of the performance loss related to the aforementioned limitations through increasing data storage and retrieval processing throughput.
Flash memory, Data storage systems, Bandwidth, Throughput, Parallel processing, Buffer storage, Complexity theory,Interconnections (Subsystems), Mass storage
A. Tavakkol, M. Arjomand, H. Sarbazi-Azad, "Network-on-SSD: A Scalable and High-Performance Communication Design Paradigm for SSDs", IEEE Computer Architecture Letters, vol.12, no. 1, pp. 5-8, January-June 2013, doi:10.1109/L-CA.2012.4
1. N. Agrawal,V. Prabhakaran,T. Wobber,J. D. Davis,M. Manasse,, and R. Panigrahy,“Design tradeoffs for SSD performance”, Proc. USENIX'08, pp. 57-70, 2008.
2. F. Chen,R. Lee,, and X. Zhang,“Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing”, Proc. HPCA'11, pp. 266-277, 2011.
3. W.J. Dally and B. Towles,Principles and Practices of Interconnection Networks Morgan Kaufman 2004.
4. R.F. Freitas and W.W. Wilcke,“Storage-class memory: The next storage system technology”, IBM Journal of Research and Development, vol. 52, no. 4.5, pp. 439-447, 2008.
5. S. Kavalanekar,B. Worthington,Q. Zhang,, and V. Sharda,“Characterization of storage workload traces from production Windows Servers,” Proc. IISCW'08, pp. 119-128, 2008.
6. Samsung Electronics, K9XXG08XXM series, 2007.
7. The disksim simulation environment. Ver. 4.0. Retrieved in September 2011 from: http://www.pdl.cmu.eduDiskSim/
8. Xmulator simulator. Ver. 6.0. http:/
50 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool