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Abstract: We present algorithms for fine-granularity locking and client-based logging where all transactional facilities in a distributed client-server architecture are provided locally. Multiple clients are allowed to concurrently modify different objects on the same page without synchronizing their updates. Each client has its own log disk where all log records for updates to locally cached data are written. Transaction rollback and client crash recovery are handled exclusively by the clients and local ... (Update)
Context of citations to this paper: More
...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...
...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...
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BibTeX entry: (Update)
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. http://citeseer.ist.psu.edu/panagos96finegranularity.html More
@inproceedings{ panagos96finegranularity,
author = "Euthimios Panagos and Alexandros Biliris and H. V. Jagadish and Rajeev Rastogi",
title = "Fine-granularity Locking and Client-Based Logging for Distributed Architectures",
booktitle = "Extending Database Technology",
pages = "388--402",
year = "1996",
url = "citeseer.ist.psu.edu/panagos96finegranularity.html" }
Citations (may not include all citations):1209 Concurrency Control and Recovery in Database Systems (context) - Bernstein, Hadzilacos et al. - 1987
295 The ObjectStore database system (context) - Lamb, Landis et al. - 1991
228 Shoring up persistent applications - Carey, DeWitt et al.
148 Principles of transaction oriented database recovery --- a t.. (context) - Haerder, Reuter - 1983
91 A study of three alternative workstation-server architecture.. - DeWitt, Maier et al. - 1990
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76 Global memory management in client-server DBMS architectures (context) - Franklin, Carey - 1992
60 Fine-grained sharing in a page server OODBMS - Carey, Franklin et al.
58 Maintaining consistency of client-cached data (context) - Wilkinson, Neimat
43 Performance and scalability of client-server database archit.. - Delis, Roussopoulos - 1992
42 Crash recovery in client-server EXODUS - Franklin, Zwilling et al.
36 Recovery and coherency-control protocols for fast intersyste.. (context) - Mohan, Narang - 1991
27 Local disk caching for client-server database systems - Franklin, Carey et al. - 1993
17 CSA: a method for database recovery in clientserver architec.. (context) - Mohan, Narang
13 Recovery Concepts for Data Sharing Systems (context) - Rahm - 1991
12 Client-based logging for high performance distributed archit.. - Panagos, Biliris et al. - 1996
11 Recovery for Shared Disk Systems Using Multiple Redo Logs - Lomet - 1990
8 Solutions to Hot Spot Problems in a Shared Disks Transaction.. (context) - Mohan, Narang et al.
5 VERSTANT System Reference Manual (context) - Technology, Park - 1991
4 VMS data sharing system became fast (context) - Lomet, Anderson et al. - 1992
3 High availability machanisms of VAX DBMS software (context) - Rengarajan, Spiro et al. - 1989
2 Data caching tradeo#s in client-server DBMS architectures (context) - Carey, Franklin et al.
2 DALI: An extensible main memory storage manager (context) - Jagadish, Lieuwen et al. - 1994
1 Coda: A highly available #le system for a distributed workst.. (context) - Satyanarayanan, Kistler et al. - 1990
1 ARIES: A transaction recovery method supporting #ne-granular.. (context) - Mohan, Haderle et al. - 1992
1 Scale and performance in a distributed #le system (context) - Howard, Kazarand et al. - 1988
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