An Experimental Study of Data Migration Algorithms-Reference-Cited by-同舟云学术

An Experimental Study of Data Migration Algorithms

Published:2001 Issue: Volume: Page:145-158
ISSN:0302-9743
Container-title:Algorithm Engineering
language:
Short-container-title:

Author:

Anderson Eric,Hall Joe,Hartline Jason,Hobbs Michael,Karlin Anna R.,Saia Jared,Swaminathan Ram,Wilkes John

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44688-5_12

Reference11 articles.

1. E. Anderson, J. Hall, J. Hartline, M. Hobbs, A. Karlin, J. Saia, R. Swaminathan, and J. Wilkes. An Experimental Study of Data Migration Algorithms. Technical report, University of Washington, 2001.

2. E. Anderson, M. Hobbs, K. Keeton, S. Spence, M. Uysal, and A. Veitch. Hippodrome: running circles around storage administration. Submitted to Symposium on Operating System Principles, 2001.

3. E. Borowsky, R. Golding, A. Merchant, L. Schreier, E. Shriver, M. Spasojevic, and J. Wilkes. Using attribute-managed storage to achieve QoS. In 5th Intl. Workshop on Quality of Service, Columbia Univ., New York, June 1997.

4. Transaction Processing Performance Council. TPC Benchmark D (Decision Support) Standard Specification Revision 2.1. 1996.

5. B. Gavish and O. R. Liu Sheng. Dynamic file migration in distributed computer systems. Communications of the ACM, 33:177–189, 1990.

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Technical architecture of integrated big data platform;2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2022-12

2. ONFS: a hierarchical hybrid file system based on memory, SSD, and HDD for high performance computers;Frontiers of Information Technology & Electronic Engineering;2017-12

3. Data Migration;Encyclopedia of Algorithms;2016

4. SLA-aware data migration in a shared hybrid storage cluster;Cluster Computing;2015-05-27

5. Facility location models to locate data in information networks: a literature review;Annals of Operations Research;2015-04-04