Advances in Distributed Systems, Advanced Distributed Computing: From Algorithms to Systems
Implementing a Reflective Fault-Tolerant CORBA System
SRDS '00 Proceedings of the 19th IEEE Symposium on Reliable Distributed Systems
Ganymed: scalable replication for transactional web applications
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
MIDDLE-R: Consistent database replication at the middleware level
ACM Transactions on Computer Systems (TOCS)
Lazy database replication with snapshot isolation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Middleware-based database replication: the gaps between theory and practice
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A Cost Model for Efficient Business Object Replication
WAINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications Workshops
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Business objects (BOs) are data containers for complex data structures used in business applications such as Supply Chain Management and Customer Relationship Management. Due to the replication of application logic, multiple copies of BOs are created which have to be synchronized and updated. This is a complex and time consuming task because BOs rigorously vary in their structure according to the distribution, number and size of elements. Since BOs are internally represented as XML documents, the parsing of XML is one major cost factor which has to be considered for minimizing the processing time during synchronization. The prediction of the parsing time for BOs is an significant property for the selection of an efficient synchronization mechanism. In this paper, we present a method to evaluate the influence of the structure of BOs on their parsing time. The results of our experimental evaluation incorporating four different XML parsers examine the dependencies between the distribution of elements and the parsing time. Finally, a general cost model will be validated and simplified according to the results of the experimental setup.