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Panagos, E., A. Biliris, H. Jagadish, and R. Rastogi: 1996, `Fine-granularity Locking and Client-Based Logging for Distributed Architectures'. In: Proceedings of EDBT Conference. pp. 388--402.

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An Adaptive Hybrid Server Architecture for Client Caching .. - Voruganti, Özsu, Unrau (1999)   (2 citations)  (Correct)

.... the performance study is important in its own right for two reasons: Page Object Object Object Object Page Page [OVU98] LAC 96] LAC 96] Object Page [CALM97] Data Transfer Recovery Cache Consistency Buffer Management Pointer Swizzling High Abort Low Abort High Abort Low Abort Page [DFVM90] PBJR96] KGBW90] MN94] FZT 92] KK94] GK94] WD94] This Paper] This Paper] OS94] LLOW91] FCL96] FC94] CFZ94] CFZ94] BP95] AGLM95] Ghe95] WD95] AGLM95] This Paper] This Paper] Figure 2: Decade of research into page and object server ODBMSs 1. This is the first multi user client server ....

....Therefore, the PageLSN alone cannot correctly indicate whether the page contains the update represented by a particular log record. Two of the previous page server recovery solutions do not allow the simultaneous update of a page at multiple client sites [FZT 92, MN94] A more recent proposal [PBJR96] permits this and requires the server to write a replacement log record to the log disk before an updated page is written to data disk. For every client that has performed an update since the last time the page was written to disk, the replacement log record contains details (client ID and ....

E. Panagos, A. Biliris, H. Jagadish, and R. Rastogi. Fine-granularity Locking and Client-Based Logging for Distributed Architectures. In Proceedings of EDBT Conference, 1996.


Recovery Options in Directory Based Software Coherency Schemes - Molesky, Ramamritham (1996)   (Correct)

....is made for handling the undo of active updates, performed by transactions running on crashed nodes necessary in case these active updates had migrated to another node. Similarly, the approach of [12] does not define an undo approach for these cases. Finally, some client server systems [18] allow a page to be updated simultaneously by many client nodes (multiple writers) Allowing multiple writers requires that the server eventually merges the updates. The main disadvantage of this approach is that additional book keeping must be done in order to track the portions of a page which ....

E. Panagos, A. Biliris, H. Jagadish, and R. Rastogi. Fine-granularity Locking and Client-Based Logging for Distributed Architectures. Proceedings of the Seventh Conference on Extended Database Technology, 1996.


Client-Based Logging for High Performance Distributed Architectures - Biliris (1996)   (10 citations)  Self-citation (Panagos Biliris Jagadish Rastogi)   (Correct)

....process, 4) each node can take a checkpoint without synchronizing with the rest of the operational nodes, and (5) clocks do not have to be synchronized across the nodes and lock tables are not checkpointed. We have extended the work presented in this paper to include fine granularity locking in [16]. We are currently evaluating the performance of client based logging by implementing our algorithms in BeSS [2] ....

E. Panagos, A. Biliris, H.V. Jagadish, and R. Rastogi. Fine-granularity locking and client-based logging for distributed architectures. In Proceedings of the Fifth International Conference on Extending Database Technology (EDBT), Avignon, France, March 1996. To appear.


An Adaptive Data-Shipping Architecture for Client Caching .. - Voruganti, Özsu, Unrau (2003)   (Correct)

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Panagos, E., A. Biliris, H. Jagadish, and R. Rastogi: 1996, `Fine-granularity Locking and Client-Based Logging for Distributed Architectures'. In: Proceedings of EDBT Conference. pp. 388--402.

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