The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 29-112
Full Name: Hyokyung Bahn
Position: Associate Professor
Age: ON
Sex: Male
Address: Dept. of Computer Science, Ewha Univ., 11-1 Daehyun-dong, Seodaemun-gu, Seoul, 120-750, Korea
Country: KOREA
Tel: +82 2 3277 2368
Tel prefix:
Fax: +82 2 3277 2306
E-mail address: bahn@ewha.ac.kr
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Title of the Paper: On the Parallelism of I/O Scheduling Algorithms in MEMS-Based Large Storage Systems
Authors as they appear in the Paper: Eunji Lee, Kern Koh, Hyunkyoung Choi, Hyokyung Bahn
Email addresses of all the authors: ejlee@oslab.snu.ac.kr, kernkoh@oslab.snu.ac.kr, bluechk@nate.com, bahn@ewha.ac.kr
Number of paper pages: 10
Abstract: MEMS-based storage is being developed as a new storage media due to its salient characteristics such as high-parallelism, high density, and low-power consumption. Because physical structures of MEMS-based storage is different from those of hard disks, new software management techniques for MEMS-based storage are needed. Specifically, MEMS-based storage has thousands of parallel-activating heads, which requires parallelism-aware request scheduling algorithms to maximize the performance of the storage media. In this paper, we compare various versions of I/O scheduling algorithms that exploit high-parallelism of MEMS-based storage devices. Trace-driven simulations show that parallelism-aware algorithms can be effectively used for high capacity mass storage servers because they perform better than other algorithms in terms of the average response time when the workload intensity becomes heavy.
Keywords: MEMS-based storage, Parallelism, Request Scheduling, Scheduling algorithm, Storage.
EXTENSION of the file: .pdf
Special (Invited) Session: Comparison of I/O Scheduling Algorithms for High Parallelism MEMS-Based Storage Devices
Organizer of the Session: 609-878
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