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oai:www.ideals.illinois.edu:2142/81986 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Sharad Mehrotra Hu, Kexiang 2015-09-25T20:21:18Z 2015-09-25T20:21:18Z 10000-01-01 2000 2000 In this dissertation, we study how to best explore laziness in data replication for the purpose of performance optimization without sacrificing the ability for fault-tolerance. We also study techniques to deal with various types of failures to ensure transaction durability. First, we propose an Optimized 2-Safe (o2-safe) approach for multi-processor primary-backup systems that combines the best features of both lazy and eager designs by careful addition of partial synchrony in the log transfer protocol. The approach presented achieves high throughput during normal processing (similar to lazy methods) without risking loss of transactions in case of primary failures (similar to eager methods). The failure-handling techniques developed are able to handle both partial as well as complete system failures and guarantee continued availability of a database partition as long as both the primary and its corresponding backup do not fail simultaneously. We then explore a new Optimized Eager-Master (OEM) approach which extends the o2-safe technique to general data replication problems. The resulting OEM approach ensures transaction durability with much improved performance over eager approaches. Furthermore, the non-blocking commit protocol, along with the techniques developed for handling site failures, enables a backup to take over in the event of a failure to provide continued availability. Performance studies further confirm the viability of the proposed approaches. Made available in DSpace on 2015-09-25T20:21:18Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9990024.pdf: 12766140 bytes, checksum: 6f71c35abea8dfb919f1135bf6a264e7 (MD5) Previous issue date: 2000 Embargo set by: Seth Robbins for item 83267 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 227 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000. http://hdl.handle.net/2142/81986 (MiAaPQ)AAI9990024 eng Computer Science Exploiting Laziness for Improving Performance in Data Replication Management text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.