Multi-Tenant RDBMS Migration in the Cloud Environment | ||||
International Journal of Intelligent Computing and Information Sciences | ||||
Article 7, Volume 21, Issue 2, July 2021, Page 96-109 PDF (689.96 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/ijicis.2021.77309.1093 | ||||
View on SCiNiTO | ||||
Authors | ||||
ahmed ezzat Abdel Raouf 1; Alshaimaa Abo-alian1; Nagwa Badr 2 | ||||
1Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt | ||||
2Department of Information Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, 11566, Egypt | ||||
Abstract | ||||
In a multi-tenant business environment, tenants share the same applications and databases to store their data. Due to the widespread use of a multi-tenant environment, the service providers face difficult challenges daily. These challenges are condensed in how to guarantee the quality of service provided to tenants, which are documented in a formal document known as a Service Level Agreement (SLA). In addition, SLA should consider the irregular patterns of workload of tenants which may affect the level of guarantee. In this research, an Enhanced Multi-Tenant Database Management System (EMT DBMS) is proposed. In addition, an Enhanced Multi-tenant Migration Algorithm called EMT-M is presented, which aims to migrate the violated tenants depending on both the number of SLA violations and the variance rate. Experimental results prove that the proposed EMT-M algorithm is ideal for migrating violated tenants, as it reduces the number of SLA violations compared to previous migration algorithms. | ||||
Keywords | ||||
Service Level Agreements (SLA); Cloud Computing; Data Migration; Relational Database Management System (RDBMS) | ||||
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