Cloud scalability measurement and testing

Xiaoying Bai, Jerry Gao, Wei Tek Tsai

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Cloud computing introduces a new paradigm for software deployment, hosting, and service renting. Based on the XaaS architecture, a large number of users may share computing resources, platform services, and application software in a multi-tenancy approach. To ensure service availability, the system needs to support an advanced level of massive scalability so that it can provide necessary resources on demand following the pay-per-use pricing model. This chapter analyzes the unique requirements of cloud performance and scalability, compared with traditional distributed systems. Measurements are proposed with performance indicators, meters, and metrics identified from different perspectives. To support scalability testing in a dynamic environment, an agent-based testing framework is proposed to facilitate adaptive load generation and simulation using a two-layer control architecture.

Original languageEnglish (US)
Title of host publicationCloud Technology: Concepts, Methodologies, Tools, and Applications
PublisherIGI Global
Pages1956-1980
Number of pages25
Volume4
ISBN (Print)9781466665408, 1466665394, 9781466665392
DOIs
StatePublished - Oct 31 2014

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Bai, X., Gao, J., & Tsai, W. T. (2014). Cloud scalability measurement and testing. In Cloud Technology: Concepts, Methodologies, Tools, and Applications (Vol. 4, pp. 1956-1980). IGI Global. https://doi.org/10.4018/978-1-4666-6539-2.ch091