Proceedings of the 28th International Conference on Software Engineering 2006
DOI: 10.1145/1134285.1134460
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A framework for modelling and analysis of software systems scalability

Abstract: The term scalability appears frequently in computing literature, but it is a term that is poorly defined and poorly understood. The lack of a clear, consistent and systematic treatment of scalability makes it difficult to evaluate claims of scalability and to compare claims from different sources. This paper presents a framework for precisely characterizing and analyzing the scalability of a software system. The framework treats scalability as a multi-criteria optimization problem and captures the dependency r… Show more

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Cited by 26 publications
(16 citation statements)
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“…The key points that have an impact on the conceptual and theoretical content and the way to teach them are paradigms of Big-Data, regarding scalability, speed and variety of data, which appear as a result of the proliferation of data technologies and automation (collection and analysis), since they cannot be studied using traditional statistical techniques invented to operate on structured, homogeneous and small-scale data (samples) (Duboc, Rosenblum and Wicks, 2006;Bondi, 2000;Hill, 1990 by adjusting the same techniques to a larger problem, which leads to a dilemma between working with a sample or the entire population (or its more realistic approach: Big-Data).…”
Section: Knowledge Of Inferential Statistics and Big Datamentioning
confidence: 99%
“…The key points that have an impact on the conceptual and theoretical content and the way to teach them are paradigms of Big-Data, regarding scalability, speed and variety of data, which appear as a result of the proliferation of data technologies and automation (collection and analysis), since they cannot be studied using traditional statistical techniques invented to operate on structured, homogeneous and small-scale data (samples) (Duboc, Rosenblum and Wicks, 2006;Bondi, 2000;Hill, 1990 by adjusting the same techniques to a larger problem, which leads to a dilemma between working with a sample or the entire population (or its more realistic approach: Big-Data).…”
Section: Knowledge Of Inferential Statistics and Big Datamentioning
confidence: 99%
“…Scalability describes the degree to which a subject is able to maintain application specific quality criteria when it is applied to large situations. Although the term is frequently used, statements about scalability often lead to only a vague impression about the analyzed subject [4]. Many authors have tried to overcome this issue by proposing their own definitions or systematic ways to analyze scalability.…”
Section: Scalabilitymentioning
confidence: 99%
“…54 Scalability is the characteristic of a system that describes its capability to cope and perform under an increased or expanding workload. [56][57][58][59] From a business perspective, meaningful scalability translates into either increased revenues requiring less investment or increased services requiring less incremental costs. [56][57][58][59] From a business perspective, meaningful scalability translates into either increased revenues requiring less investment or increased services requiring less incremental costs.…”
Section: Scalabilitymentioning
confidence: 99%