NDLI: Monitoring-Based Testing of Elastic Cloud Computing Applications

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Monitoring-Based Testing of Elastic Cloud Computing Applications

Content Provider	ACM Digital Library
Author	Sunyé, Gerson Albonico, Michel Mottu, Jean-Marie
Abstract	Applications that are exposed to large-scale workloads must ensure elasticity, that is the ability to scale up and down rapidly to meet the demand. Cloud infrastructures provide adaptation tasks, which allow applications to automatically scale up and down straightforwardly. These adaptation tasks drive the system to new states, which may expose implementation errors and therefore must be tested. In this paper, we focus on testing elastic applications during different elasticity-related states. This test is difficult since the elasticity states are not directly controlled by the tester. To execute the test at different elasticity-related states, we propose a monitoring-based procedure. This procedure consists in monitoring the resource status to identify the occurrences of the elasticity states at real-time, and in parallel, execute the state-related tests. To validate our test procedure, we performed experiments on Amazon EC2. These experiments successfully identified non-functional errors.
Starting Page	3
Ending Page	6
Page Count	4
File Format	PDF
ISBN	9781450341479
DOI	10.1145/2859889.2859890
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud computing Elasticity Elasticity testing. Testing
Content Type	Text
Resource Type	Article

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