Computer Performance Engineering: 11th European Workshop, by András Horváth, Katinka Wolter

By András Horváth, Katinka Wolter

This booklet constitutes the lawsuits of the eleventh eu Workshop on functionality Engineering, EPEW 2014, held in Florence, Italy, in September 2014. The 18 complete papers awarded during this quantity have been conscientiously reviewed and chosen from 30 submissions. The papers are equipped in topical sections named: cloud functionality modelling; queueing and fluid versions; functionality of computation and programming; becoming; city site visitors modelling; choice making; and Markovian types, above and beyond.

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Extra info for Computer Performance Engineering: 11th European Workshop, EPEW 2014, Florence, Italy, September 11-12, 2014. Proceedings

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For example, RMI and REST have a basic version which is the same as the base sub-model (with appropriate parameter values); they can also have additional features. 6 Obtaining the Final Composed LQN Model The same approach can be used to compose the appropriate middleware submodels with the application LQN model. Each call in the application that uses middleware becomes a join-call for the specialized submodel for that middleware, which is composed with the call in the same way as an InFlowStruct feature.

3a. The throughput generally increases with an increase in the number of nodes. Fig. 3a shows the saturation point of the database, that is the point at which the database is fully utilized and throughput does not increase along with the number client threads. Configurations with 8 nodes and above do not saturate the system even at 30 threads. Similar results are shown for MongoDB in Fig. 3b and for HBase in Fig. 3c. Note that, in terms of absolute performance, HBase presents higher throughput than Cassandra and MongoDB.

3. Throughput as a function of the number of nodes The throughput of Cassandra is considered in Fig. 3a. The throughput generally increases with an increase in the number of nodes. Fig. 3a shows the saturation point of the database, that is the point at which the database is fully utilized and throughput does not increase along with the number client threads. Configurations with 8 nodes and above do not saturate the system even at 30 threads. Similar results are shown for MongoDB in Fig. 3b and for HBase in Fig.

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