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A greedy approach for improving update processing in intermittently synchronized databases (1999).
| Content Provider | CiteSeerX |
|---|---|
| Author | Yee, Wai Gen Omiecinski, Ed Navathe, Sham Ammar, Mostafa Donahoo, Jeff Malik, Sanjoy |
| Abstract | Replication of data on portable computers is a new DBMS technology aimed at catering to a growing population of mobile database users. Clients can download data items such as email, or sales data from a server onto these machines, peruse it during commutes, and return any modifications to the server at the end of the day. In this paper, we describe how the servers in these systems generally process update information for clients and reveal a scalability problem--server processing increases quadratically with respect to increasing numbers of clients. We develop a cost model, and propose a solution based on heuristics. By aggregating client interests into datagroups, based on notions such as interest overlap, we can reduce server cost. These techniques are attractive because they are simple and computationally cheap. Simulations show that even simple techniques may yield significant performance improvements. 1 Introduction The benefits of replication in distributed databases a... |
| File Format | |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Update Processing Intermittently Synchronized Database Greedy Approach Scalability Problem Server Processing Increase Sale Data Client Interest Mobile Database User New Dbms Technology Simple Technique Cost Model Data Item Process Update Information Server Cost Portable Computer Distributed Database Interest Overlap Significant Performance Improvement |
| Content Type | Text |
