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Defining and Measuring Conflicts in Optimistic Replication (1995)
| Content Provider | CiteSeerX |
|---|---|
| Author | Heidemann, John Goel, Ashvin Popek, Gerald |
| Abstract | Optimistic replication is often viewed as essential for large scale systems and for supporting mobile computing. In optimistic replication, updates can be made concurrently to different file replicas, resulting in multiple versions of the file. To recover from these conflicting updates, after-the fact conflict resolution actions are required to recombine multiple versions into one. This paper defines these concepts and discusses approaches to measure them in optimistically replicated systems. Measurement of the number of conflicting updates and conflict resolution is important to judge the practicality of optimistic replication. An environment where conflicting updates are frequent will not be attractive since users cannot assume they have up-to-date data. Although many conflicts can be automatically resolved, some conflicts require user intervention; such conflicts cannot be too common. This paper shows an approach to measure the number of conflicting updates. From this measurement we... |
| File Format | |
| Language | English |
| Publisher Date | 1995-01-01 |
| Access Restriction | Open |
| Subject Keyword | Optimistic Replication Multiple Version Different File Replica Conflicting Update Large Scale System After-the Fact Conflict Resolution Action User Intervention Conflict Resolution Many Conflict Up-to-date Data |
| Content Type | Text |
| Resource Type | Technical Report |
