Abstract | ||
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Nowadays the large-scale systems are common-place in any kind of applications. The popularity of the web created a new environment in which the applications need to be highly scalable due to the data tsunami generated by a huge load of requests (i.e., connections and business operations). In this context, the main question is to validate how far the web applications can deal with the load generated by the clients. Load testing is a technique to analyze the behavior of the system under test upon normal and heavy load conditions. In this work we present a peer-to-peer load testing approach to isolate bottleneck problems related to centralized testing drivers and to scale up the load. Our approach was tested in a DBMS as study case and presents satisfactory results. |
Year | DOI | Venue |
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2012 | 10.1109/ICST.2012.153 | ICST |
Keywords | Field | DocType |
bottleneck problem,business operation,peer-to-peer load testing approach,data tsunami,heavy load condition,web application,huge load,peer-to-peer load,large-scale system,centralized testing driver,load testing,web applications,internet,databases,testing,computer architecture,system under test,scalability,cloud computing | System under test,Bottleneck,Peer-to-peer,Load testing,Computer science,Software performance testing,Reliability engineering,Cloud testing,Cloud computing,Scalability,Distributed computing | Conference |
Citations | PageRank | References |
4 | 0.38 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jorge Augusto Meira | 1 | 18 | 5.77 |
Eduardo Cunha De Almeida | 2 | 64 | 17.33 |
Yves Le Traon | 3 | 3922 | 190.39 |
Gerson Sunye | 4 | 6 | 1.09 |