SaaS multitenant performance testing over social networks. (2018)
- Record Type:
- Journal Article
- Title:
- SaaS multitenant performance testing over social networks. (2018)
- Main Title:
- SaaS multitenant performance testing over social networks
- Authors:
- Sumalatha, M.R.
Parthiban, M. - Abstract:
- Recent years, cloud computing is description for facilitating suitable on-demand network access. In cloud, computing multi-tenancy plays a significant role on software as a service (SaaS). Structure of SaaS multi-tenant cloud aware applications initiates several new challenges the central one being a tenant. In cloud testing, tenant applications need to be tested in addition to performance testing be used. At the same time as numerous performance-testing techniques exist; most of them produce only fixed progressions of test configurations. This paper focuses on the challenges for Multi-tenancy testing in SaaS and analyses the configuration dynamically in which SaaS testing differs from testing conventional applications. The paper proposes performance testing and fittest function of each tenant. For fitness function, GASE algorithm is used which combines a genetic algorithm and a symbolic execution. This proposed algorithm uses the above performance testing values for obtaining the best of each tenant, in the form of fitness generations. A real experimentation is proposed using a multiple tenants on open stack cloud computing environment over social networks.
- Is Part Of:
- International journal of enterprise network management. Volume 9:Number 3/4(2018)
- Journal:
- International journal of enterprise network management
- Issue:
- Volume 9:Number 3/4(2018)
- Issue Display:
- Volume 9, Issue 3/4 (2018)
- Year:
- 2018
- Volume:
- 9
- Issue:
- 3/4
- Issue Sort Value:
- 2018-0009-NaN-0000
- Page Start:
- 234
- Page End:
- 250
- Publication Date:
- 2018
- Subjects:
- SaaS cloud -- multi-tenant -- software testing -- performance testing -- fitness generations
Business logistics -- Management -- Periodicals
Business enterprises -- Management -- Periodicals
658.7205 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalCODE=ijenm ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1748-1252
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9258.xml