Enterprise Transaction Processing Systems: Putting the Cobra Ots, Encina++ and Orbixotm to Work
Enterprise Transaction Processing Systems: Putting the Cobra Ots, Encina++ and Orbixotm to Work
Entity Bean A, B, C's: Enterprise Java Beans Commit Options and Caching
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Comparing industry benchmarks for J2EE application server: IBM's trade2 vs Sun's ECperf
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
The Rigorous Evaluation of Enterprise Java Bean Technology
ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
The Rigorous Evaluation of Enterprise Java Bean Technology
ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
Improving data access of J2EE applications by exploiting asynchronous messaging and caching services
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A model for characterizing the scalability of distributed systems
ACM SIGOPS Operating Systems Review
Proceedings of the ISSTA 2006 workshop on Role of software architecture for testing and analysis
How design patterns affect application performance – a case of a multi-tier J2EE application
FIDJI'04 Proceedings of the 4th international conference on Scientific Engineering of Distributed Java Applications
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ECperf, the widely recognized industry standard J2EE benchmark, has attracted a large number of results submissions and their subsequent publication. However, ECperf places little restriction on the hardware platform, operating systems and databases utilized in the benchmarking process. This, combined with the existence of only two primary metrics, makes it difficult to answer critical questions such as "Is there a limit to J2EE scalability?" and "Is scale-up or scale-out more effective?". By mining the full-disclosure archives for trends and correlations we have discovered that J2EE technology is very scalable, both in a scale-up and scale-out manner. Other observed trends include, a linear correlation between middle-tier total processing power and throughput, as well as between J2EE Application Server license costs and throughput. However, the results clearly indicate that there is an increasing cost per user with increasing capacity systems, and scale-up is proportionately more expensive than scale-out.