Evaluation of Multi-core Scalability Bottlenecks in Enterprise Java Workloads

Guerin, Xavier; Tan, Wei; Liu, Yanbin; Seelam, Seetharami; Dube, Parijat

doi:10.1109/mascots.2012.43

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…Although scalability has been studied in parallel computing, distributed computing, databases, and service-oriented architecture (SOA) [12], still today there are many researchers using vague definitions that simply state scalability concerns with the relation between system load and performance [12], [13], [11], [14], [6]. Also, these definitions usually limit scalability to a linear relation between those characteristics.…”

Section: Introductionmentioning

confidence: 99%

Automated scalability testing of software as a service

Moura

Kon

2013

2013 8th International Workshop on Automation of Software Test (AST)

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Abstract-Scalability has been studied in several areas of Computer Science and scalability testing and evaluation of contemporary software systems is an active topic. However, most of the times, these activities are still performed in a predominantly ad hoc fashion. There are a few tools to automate this process, but they present several restrictions about what systems can be tested and how to evaluate scalability. In this paper, we introduce a flexible and extensible framework for automated scalability testing of software offered as a service and propose to evaluate the scalability using hypothesis tests. Additionally, we argue that, instead of stating if a system is scalable or not, we should find out how it could scale better.

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