Efficient Transparent Application Recovery in Client-Server Information Systems
SIGMOD Conference |
Published by Association for Computing Machinery, Inc.
SIGMOD Best Paper
Database systems recover persistent data, providing high database availability. However, database applications, typically residing on client or “middle-tier” application-server machines, may lose work because of a server failure. This prevents the masking of server failures from the human user and substantially degrades application availability. This paper aims to enable high application availability with an integrated method for database server recovery and transparent application recovery in a client-server system. The approach, based on application message logging, is similar to earlier work on distributed system fault tolerance. However, we exploit advanced database logging and recovery techniques and request/reply messaging properties to significantly improve efficiency. Forced log I/Os, frequently required by other methods, are usually avoided. Restart time, for both failed server and failed client, is reduced by checkpointing and log truncation. Our method ensures that a server can recover independently of clients. A client may reduce logging overhead in return for dependency on server availability during client restart.
Copyright © 1998 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or email@example.com. The definitive version of this paper can be found at ACM's Digital Library -http://www.acm.org/dl/.